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Journal articles on the topic 'Electrophysiological information input block'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Felix, A. Pyatakovich* Lubov V. Khlivnenko Tatyana I. Yakunchenko Kristina F. Makkonen Olga V. Mevsha. "A COMPARATIVE ANALYSIS OF THE RESULTS OF CONVENTIONAL AND COMBINED METHODS OF TRAINING DIRECT PROPAGATION NEURAL NETWORK IN HEALTHY PERSONS TO DETECTING THE DEGREE OF ACTIVITY OF AN AUTONOMOUS NERVOUS SYSTEM." Indo American Journal of Pharmaceutical Sciences 04, no. 09 (2017): 3075–79. https://doi.org/10.5281/zenodo.910741.

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The article deals with a comparative analysis of the efficiency of an artificial neural network (ANN) trained with the help of algorithm back propagation, and of that trained by combining a back propagation algorithm and a variant of Cauchy stochastic training, in detecting the degree of activity of an autonomous nervous system. For the purposes realization of the project has been developed a biotechnical system, including technical device for input electrophysiological information in mode on-line. To evaluate the clinical effectiveness of the classification, records of interpulse intervals in

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Papas, S., and A. V. Ferguson. "Electrophysiological evidence of baroreceptor input to area postrema." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 261, no. 1 (1991): R9—R13. http://dx.doi.org/10.1152/ajpregu.1991.261.1.r9.

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Subpopulations of rat area postrema (AP) and nucleus tractus solitarius (NTS) neurons exist that are responsive to changes in blood pressure. The hypothesis that these effects may be mediated by afferent baroreceptor input was examined. Orthodromic responses of AP and NTS neurons to aortic depressor nerve (ADN) stimulation were observed. Sixty-three percent of AP neurons were affected by ADN stimulation, with most exhibiting short-duration excitatory responses (latency, 27 +/- 1 ms; duration, 11 +/- 1 ms). Fifty-five percent of NTS neurons were influenced by ADN stimulation, although effects i

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Pliekhova, G. A., M. V. Kostikova, S. M. Neronov, R. B. Bagmut, and O. O. Yatsenko. "Device for creating information transmission routes in special purpose radio networks with the possibility of self-organization." Bionics of Intelligence 2, no. 101 (2024): 30–33. https://doi.org/10.30837/bi.2024.2(101).04.

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The paper proposes a device for creating information transmission routes in special purpose radio networks with the possibility of self-organization. The proposed device contains a transmitting and receiving part that are connected to each other by a transmission channel. The transmission part of the device for the creation of information transmission routes in special purpose radio networks with the possibility of self-organization additionally includes a block for selecting the target function of route management, block for selecting the type of routing, block for selecting the number of rou

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Zhang, Yun, and Fengping Wang. "HandFormer: A Dynamic Hand Gesture Recognition Method Based on Attention Mechanism." Applied Sciences 13, no. 7 (2023): 4558. http://dx.doi.org/10.3390/app13074558.

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The application of dynamic gestures is extensive in the field of automated intelligent manufacturing. Due to the temporal and spatial complexity of dynamic gesture data, traditional machine learning algorithms struggle to extract accurate gesture features. Existing dynamic gesture recognition algorithms have complex network designs, high parameter counts, and inadequate gesture feature extraction. In order to solve the problems of low accuracy and high computational complexity in current dynamic gesture recognition, a network model based on the MetaFormer architecture and an attention mechanis

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Cogan, Gregory B., and David Poeppel. "A mutual information analysis of neural coding of speech by low-frequency MEG phase information." Journal of Neurophysiology 106, no. 2 (2011): 554–63. http://dx.doi.org/10.1152/jn.00075.2011.

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Recent work has implicated low-frequency (<20 Hz) neuronal phase information as important for both auditory (<10 Hz) and speech [theta (∼4–8 Hz)] perception. Activity on the timescale of theta corresponds linguistically to the average length of a syllable, suggesting that information within this range has consequences for segmentation of meaningful units of speech. Longer timescales that correspond to lower frequencies [delta (1–3 Hz)] also reflect important linguistic features—prosodic/suprasegmental—but it is unknown whether the patterns of activity in this range are similar to theta.

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Boşnak, Mehmet, and Ayhan Eralp. "Electrophysiological, Histological and Neurochemical Features of Cochlear Nucleus." European Journal of Therapeutics 13, no. 2 (2007): 42–49. http://dx.doi.org/10.58600/eurjther.2007-13-2-1383-arch.

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The cochlear nucleus (CN), as the first brain centre in the auditory system and is responsible for sorting the neural signals received from the cochlea, into parallel processing streams for transmission to the assorted higher auditory nuclei. A commissural connection formed between cochlear nuclei through direct projections, thereby provides the first site in the central auditory system at which binaural information is able to influence the ascending auditory signal. This restricted review investigates the nature of commissural projections and the impact of their input upon neurons of the CN t

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Sousa, Mafalda, Peter Szucs, Deolinda Lima, and Paulo Aguiar. "The pronociceptive dorsal reticular nucleus contains mostly tonic neurons and shows a high prevalence of spontaneous activity in block preparation." Journal of Neurophysiology 111, no. 7 (2014): 1507–18. http://dx.doi.org/10.1152/jn.00440.2013.

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Despite the importance and significant clinical impact of understanding information processing in the nociceptive system, the functional properties of neurons in many parts of this system are still unknown. In this work we performed whole cell patch-clamp recording in rat brain stem blocks to characterize the electrophysiological properties of neurons in the dorsal reticular nucleus (DRt), a region known to be involved in pronociceptive modulation. We also compared properties of DRt neurons with those in the adjacent parvicellular reticular nucleus and in neighboring regions outside the reticu

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Zhang, Kai, Zheng Tan, Jianying Sun, Baoyu Zhu, Yuanbo Yang, and Qunbo Lv. "A Multidimensional Spectral Transformer with Channel-Wise Correlation for Hyperspectral Image Classification." Applied Sciences 13, no. 9 (2023): 5482. http://dx.doi.org/10.3390/app13095482.

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Convolutional neural networks (CNNs) have been developed as an effective strategy for hyperspectral image (HSI) classification. However, the lack of feature extraction by CNN networks is due to the network failing to effectively extract global features and poor capability in distinguishing between different feature categories that are similar. In order to solve these problems, this paper proposes a novel approach to hyperspectral image classification using a multidimensional spectral transformer with channel-wise correlation. The proposed method consists of two key components: an input mask an

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Ahmad, Ijaz, and Seokjoo Shin. "IIB–CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning." Sensors 22, no. 20 (2022): 8074. http://dx.doi.org/10.3390/s22208074.

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Perceptual encryption (PE) of images protects visual information while retaining the intrinsic properties necessary to enable computation in the encryption domain. Block–based PE produces JPEG-compliant images with almost the same compression savings as that of the plain images. The methods represent an input color image as a pseudo grayscale image to benefit from a smaller block size. However, such representation degrades image quality and compression savings, and removes color information, which limits their applications. To solve these limitations, we proposed inter and intra block processi

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Martínez-Ladrón de Guevara, Elideth, Nury Pérez-Hernández, Miguel Ángel Villalobos-López, et al. "The Actions of Lyophilized Apple Peel on the Electrical Activity and Organization of the Ventricular Syncytium of the Hearts of Diabetic Rats." Journal of Diabetes Research 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8178936.

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This study was designed to examine the effects of lyophilized red delicious apple peel (RDP) on the action potentials (APs) and the input resistance-threshold current relationship. The experiments were performed on isolated papillary heart muscles from healthy male rats, healthy male rats treated with RDP, diabetic male rats, and diabetic male rats treated with RDP. The preparation was superfused with oxygenated Tyrode’s solution at 37°C. The stimulation and the recording of the APs, the input resistance, and the threshold current were made using conventional electrophysiological methods. The

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Bosnjak, Z. J., and J. P. Kampine. "Electrophysiological and morphological characterization of neurons in stellate ganglion of cats." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 248, no. 3 (1985): R288—R292. http://dx.doi.org/10.1152/ajpregu.1985.248.3.r288.

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We have studied the general morphology of cat stellate ganglion cells in relation to the synaptic input that each neuron receives. Horseradish peroxidase (HRP) was injected intracellularly into single neurons of the isolated cat stellate ganglia. Neurons of the stellate ganglion receive synaptic information from central and peripheral nerves. Electrical stimulation of the preganglionic nerves (T3 ramus), and postganglionic stimulation of the ventral or dorsal ansa subclavia, evoked graded excitatory responses that led to the discharge of one or more action potentials. The neurons receiving syn

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YARMILKO, Аndii, Inna ROZLOMII, and Yuliya MYSIURA. "USAGE OF HASH METHODS IN THE CRYPTOGRAPHIC DATA ANALYSIS." Herald of Khmelnytskyi National University 303, no. 6 (2021): 49–54. http://dx.doi.org/10.31891/2307-5732-2021-303-6-49-54.

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The tasks of information security system include identifying potential or actual sources of threat to system’s work and minimizing consequences of unauthorized influence on it. While solving them, arises the need of restoration of the initial state of the information system, especially the data integrity. While performing information message analysis the other task may be finding differences between two data fragments or their instances. This paper offers methods of the complex solution of the information security tasks and the analysis of data streams using the means of cryptography and prese

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Iapascurta, Victor. "Combining Algorithmic Information Dynamics Concepts and Machine Learning for Electroencephalography Analysis: What Can We Get?" Complex Systems 31, no. 4 (2022): 389–413. http://dx.doi.org/10.25088/complexsystems.31.4.389.

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Electroencephalography (EEG) as an example of electrophysiological monitoring methods has a rather long history of successful application for the diagnosis and treatment of diseases, and this success would not have been possible without effective methods of mathematical, and more recently, computer analysis. Most of these methods are based on statistics. Among the methods of EEG analysis, there is a group of methods that use different versions of Shannon’s entropy estimation as a “main component” and that do not differ significantly from traditional statistical approaches. Despite the external

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Jia, Jia, Zhibo Wang, and Jeongik Min. "g2D-Net: Efficient Dehazing with Second-Order Gated Units." Electronics 13, no. 10 (2024): 1900. http://dx.doi.org/10.3390/electronics13101900.

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Image dehazing aims to reconstruct potentially clear images from corresponding images corrupted by haze. With the rapid development of deep learning-related technologies, dehazing methods based on deep convolutional neural networks have gradually become mainstream. We note that existing dehazing methods often accompany an increase in computational overhead while improving the performance of dehazing. We propose a novel lightweight dehazing neural network to balance performance and efficiency: the g2D-Net. The g2D-Net borrows the design ideas of input-adaptive and long-range information interac

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Handley, Siân E., Maja Šuštar, and Manca Tekavčič Pompe. "What can visual electrophysiology tell about possible visual-field defects in paediatric patients." Eye 35, no. 9 (2021): 2354–73. http://dx.doi.org/10.1038/s41433-021-01680-1.

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AbstractRecognising a potential visual-field (VF) defect in paediatric patients might be challenging, especially in children before the age of 5 years and those with developmental delay or intellectual disability. Visual electrophysiological testing is an objective and non-invasive technique for evaluation of visual function in paediatric patients, which can characterise the location of dysfunction and differentiate between disorders of the retina, optic nerve and visual pathway. The recording of electroretinography (ERG) and visual-evoked potentials (VEP) is possible from early days of life a

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Rugg, Michael D., Kevin Allan, and Claire S. Birch. "Electrophysiological Evidence for the Modulation of Retrieval Orientation by Depth of Study Processing." Journal of Cognitive Neuroscience 12, no. 4 (2000): 664–78. http://dx.doi.org/10.1162/089892900562291.

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Event-related potentials (ERPs) were employed to investigate whether brain activity elicited by retrieval cues in a memory test varies according to the encoding task undertaken at study. Two recognition memory test blocks were administered, preceded, in one case, by a “shallow” study task (alphabetic judgement) and, in the other case, by a “deep” task (sentence generation). ERPs elicited by the new words in each test block differed, the ERPs elicited in the block following the shallow study task exhibiting the more positive-going waveforms. This finding was taken as evidence that subjects adop

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Wang, Xintong, and Chuangang Zhao. "A 2D Convolutional Gating Mechanism for Mandarin Streaming Speech Recognition." Information 12, no. 4 (2021): 165. http://dx.doi.org/10.3390/info12040165.

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Recent research shows recurrent neural network-Transducer (RNN-T) architecture has become a mainstream approach for streaming speech recognition. In this work, we investigate the VGG2 network as the input layer to the RNN-T in streaming speech recognition. Specifically, before the input feature is passed to the RNN-T, we introduce a gated-VGG2 block, which uses the first two layers of the VGG16 to extract contextual information in the time domain, and then use a SEnet-style gating mechanism to control what information in the channel domain is to be propagated to RNN-T. The results show that th

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Dye-Holden, L., and R. J. Walker. "Avermectin and avermectin derivatives are antagonists at the 4-aminobutyric acid (GABA) receptor on the somatic muscle cells of Ascaris; is this the site of anthelmintic action?" Parasitology 101, no. 2 (1990): 265–71. http://dx.doi.org/10.1017/s0031182000063320.

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The mechanism underlying the ability of the anthelmintic avermectin to paralyse the nematode Ascaris is not yet fully understood. Using conventional two-electrode electrophysiological recording techniques we have demonstrated that micromolar concentrations of ivermectin block the inhibitory GABA response on the muscle cells of the parasitic nematode Ascaris. The ability of a number of avermectin derivatives to act as receptor antagonists for the Ascaris muscle GABA receptor has been determined. This provides useful information to compare with the in vivo anthelmintic potency of these compounds

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DAVYDENKO, Nina. "META-MODEL OF DESIGN OF INFORMATION TECHNOLOGY PROTOTYPE OF CLASSIFICATION OF OBJECTS BY IMAGE SHAPE USING GMDH NEURAL NETWORKS IN THE NOTATION OF A UNIFIED MODELING LANGUAGE." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 78–81. http://dx.doi.org/10.31891/2307-5732-2022-311-4-78-81.

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The article is devoted to the development of intelligent monitoring systems of technological processes based on the use of machine vision systems. The principles of object-oriented formalization of the process of designing information technology of the classification of objects by the geometric shape of the image obtained from the machine vision system are proposed in the article. The proposed information technology is based on the use of machine learning technologies and provides for the selection of the best structure of the classifier model from a set of candidate models. Construction of ca

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Friederici, Angela D. "The Brain Basis of Language Processing: From Structure to Function." Physiological Reviews 91, no. 4 (2011): 1357–92. http://dx.doi.org/10.1152/physrev.00006.2011.

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Language processing is a trait of human species. The knowledge about its neurobiological basis has been increased considerably over the past decades. Different brain regions in the left and right hemisphere have been identified to support particular language functions. Networks involving the temporal cortex and the inferior frontal cortex with a clear left lateralization were shown to support syntactic processes, whereas less lateralized temporo-frontal networks subserve semantic processes. These networks have been substantiated both by functional as well as by structural connectivity data. El

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Mohammed Abdulmaged, Nadia. "Hybrid Steganography for Enhanced Information Security." International Journal of Mathematics, Statistics, and Computer Science 3 (June 20, 2025): 359–64. https://doi.org/10.59543/ijmscs.v3i.11135.

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The constant integration of technology in the society has made it easy for personal information privacy to be violated. In response to this challenge, this paper develops a steganographic technique using cryptography, colour models and Genetic Algorithm (GA). The proposed method starts with the Advanced Encryption Standard (AES) encryption of the secret text. After that, the encrypted data is embed in an input- image through a two-fold hiding technique. Initially, the input-image is altered into the Hue Saturation Intensity (HIS) colour model and from them a particular model is chosen for the

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Marukhlenko, A. L., A. V. Plugatarev, M. O. Tanygin, L. O. Marukhlenko, and M. Yu Shashkov. "Option of Control of Access to Information Resources Based on Implicit Authentication." Proceedings of the Southwest State University 24, no. 2 (2020): 108–21. http://dx.doi.org/10.21869/2223-1560-2020-24-2-108-121.

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Purpose of research is to build a model of a system for effective authentication of mobile users based on public data of the user and his behavioral factors as well as to study algorithms for calculating the threshold value at which the authentication of a mobile device user is considered successful.Methods. When analyzing the behavioral factors of a user who needs to be authenticated when interacting with mobile devices, application of the following methods for calculating the threshold value are proposed: dynamic methods for determining the threshold value of user authentication based on the

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Abu Zitar, Raed, and Muhammed J. Al-Muhammed. "Hybrid encryption technique: Integrating the neural network with distortion techniques." PLOS ONE 17, no. 9 (2022): e0274947. http://dx.doi.org/10.1371/journal.pone.0274947.

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This paper proposes a hybrid technique for data security. The computational model of the technique is grounded on both the non-linearity of neural network manipulations and the effective distortion operations. To accomplish this, a two-layer feedforward neural network is trained for each plaintext block. The first layer encodes the symbols of the input block, making the resulting ciphertext highly uncorrelated with the input block. The second layer reverses the impact of the first layer by generating weights that are used to restore the original plaintext block from the ciphered one. The disto

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Zhang, Jie, Pingping Sun, Feng Zhao, Qianru Guo, and Yue Zou. "Network Pseudohealth Information Recognition Model: An Integrated Architecture of Latent Dirichlet Allocation and Data Block Update." Complexity 2020 (December 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/6612043.

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The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation (LDA) algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina Weibo platform dur

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Salih, Bassam A., Ali H. Majeed, and Alaa A. Aldhalemi. "Designing of a dual-functional XOR block in QCA technology." Open Engineering 12, no. 1 (2022): 844–49. http://dx.doi.org/10.1515/eng-2022-0374.

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Abstract Quantum-dot cellular automata (QCA) technology was proposed as a way to implement digital circuits with a transistorless approach for overcoming CMOS limitations in terms of short channel effects and scale-down continuity. The main building block in QCA technology is the square cell with a couple of free movement electrons, the electrons’ configuration inside the cell gives the cell the ability to represent binary information. Researchers were attracted to QCA because of its impressive features such as size and speed. Many important circuits, such as multiplexers and exclusive-OR, wer

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Sun, Yong Wei, Li Min Zhang, and Yu Ma. "Reconstruction of Linear Scrambler with Block Data." Applied Mechanics and Materials 701-702 (December 2014): 114–18. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.114.

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In this paper, we proposed a scheme to reconstruct the synchronous scrambler placed after a direct sequence spreader. The scheme was first based on the assumption that the spreading code was known and then extended to the unknown situation. The reconstruction algorithm took advantage of the properties of spreading code that was used to spread the input information sequence. We got a property that helped to detect the multiples of the feedback polynomial. The simulation results proved the validity of the proposed algorithm.

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Sebastianelli, Gabriele, Francesco Casillo, Antonio Di Renzo, et al. "Effects of Botulinum Toxin Type A on the Nociceptive and Lemniscal Somatosensory Systems in Chronic Migraine: An Electrophysiological Study." Toxins 15, no. 1 (2023): 76. http://dx.doi.org/10.3390/toxins15010076.

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(1) Background: OnabotulinumtoxinA (BoNT-A) is a commonly used prophylactic treatment for chronic migraine (CM). Although randomized placebo studies have shown its clinical efficacy, the mechanisms by which it exerts its therapeutic effect are still incompletely understood and debated. (2) Methods: We studied in 15 CM patients the cephalic and extracephalic nociceptive and lemniscal sensory systems using electrophysiological techniques before and 1 and 3 months after one session of pericranial BoNT-A injections according to the PREEMPT protocol. We recorded the nociceptive blink reflex (nBR),

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Orazbayev, Batyr, Zhadra Kuzhuhanova, Kulman Orazbayeva, Gulzhan Uskenbayeva, Zhanat Abdugulova, and Ainur Zhumadillayeva. "Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency." Energies 18, no. 2 (2025): 271. https://doi.org/10.3390/en18020271.

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This work is devoted to the study and solution of the problems of modeling complex objects on the example of the atmospheric block of the primary oil refining unit, associated with the deficit and fuzziness of the necessary initial information. Since many real technological objects of oil refining and other industries are often characterized by a deficit and fuzziness of the necessary information for their study, modeling, and optimization, this work allows solving an urgent scientific and practical problem. An effective method has been proposed that allows, based on a system approach, expert

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Xin, Jingwei, Nannan Wang, Xinbo Gao, and Jie Li. "Residual Attribute Attention Network for Face Image Super-Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9054–61. http://dx.doi.org/10.1609/aaai.v33i01.33019054.

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Facial prior knowledge based methods recently achieved great success on the task of face image super-resolution (SR). The combination of different type of facial knowledge could be leveraged for better super-resolving face images, e.g., facial attribute information with texture and shape information. In this paper, we present a novel deep end-to-end network for face super resolution, named Residual Attribute Attention Network (RAAN), which realizes the efficient feature fusion of various types of facial information. Specifically, we construct a multi-block cascaded structure network with dense

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Melikov, Elchin, Tamella Maharramova, and Aygun Safarova. "Automation and control of the vacuum block." EPJ Web of Conferences 318 (2025): 05009. https://doi.org/10.1051/epjconf/202531805009.

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Based on a comprehensive study of technological processes occurring in the vacuum block for an installation of the ELOU-AVT type, the features of the complex technological complex under consideration as a control object were analyzed. In this regard, a statement for the optimization task of a block under study has been developed, taking into account restrictive conditions on control and input parameters. Taking into account the compiled mathematical models for the quantitative and qualitative characteristics of the process under consideration and the algorithm for their gradient adaptation, to

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Corrias, Alberto, Wayne Giles, and Blanca Rodriguez. "Ionic mechanisms of electrophysiological properties and repolarization abnormalities in rabbit Purkinje fibers." American Journal of Physiology-Heart and Circulatory Physiology 300, no. 5 (2011): H1806—H1813. http://dx.doi.org/10.1152/ajpheart.01170.2010.

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Purkinje cells play an important role in drug-induced arrhythmogenesis and are widely used in preclinical drug safety assessments. Repolarization abnormalities such as action potential (AP) prolongation and early afterdeploarizations (EAD) are often observed in vitro upon pharmacological interventions. However, because drugs do not act on only one defined target, it is often difficult to fully explain the mechanisms of action and their potential arrhythmogenicity. Computational models, when appropriately detailed and validated, can be used to gain mechanistic insights into the mechanisms of ac

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Abdullah, Mohammed A. Hamdoon, Ghanim Mohammed Zaid, and A. Mohammed Emad. "Design and implementation of single bit error correction linear block code system based on FPGA." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 4 (2019): 1785–95. https://doi.org/10.12928/TELKOMNIKA.v17i4.12033.

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Linear block code (LBC) is an error detection and correction code that is widely used in communication systems. In this paper a special type of LBC called Hamming code was implemented and debugged using FPGA kit with integrated software environments ISE for simulation and tests the results of the hardware system. The implemented system has the ability to correct single bit error and detect two bits error. The data segments length was considered to give high reliability to the system and make an aggregation between the speed of processing and the hardware ability to be implemented. An adaptive

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Cao, Xiao-Jie, and Donata Oertel. "The magnitudes of hyperpolarization-activated and low-voltage-activated potassium currents co-vary in neurons of the ventral cochlear nucleus." Journal of Neurophysiology 106, no. 2 (2011): 630–40. http://dx.doi.org/10.1152/jn.00015.2010.

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In the ventral cochlear nucleus (VCN), neurons have hyperpolarization-activated conductances, which in some cells are enormous, that contribute to the ability of neurons to convey acoustic information in the timing of their firing by decreasing the input resistance and speeding-up voltage changes. Comparisons of the electrophysiological properties of neurons in the VCN of mutant mice that lack the hyperpolarization-activated cyclic nucleotide-gated channel α subunit 1 (HCN1−/−) ( Nolan et al. 2003 ) with wild-type controls (HCN1+/+) and with outbred ICR mice reveal that octopus, T stellate, an

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Hao, Han, Rosmaliza Ramli, Caixue Wang, et al. "Dorsal root ganglia control nociceptive input to the central nervous system." PLOS Biology 21, no. 1 (2023): e3001958. http://dx.doi.org/10.1371/journal.pbio.3001958.

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Accumulating observations suggest that peripheral somatosensory ganglia may regulate nociceptive transmission, yet direct evidence is sparse. Here, in experiments on rats and mice, we show that the peripheral afferent nociceptive information in mice undergoes dynamic filtering within the dorsal root ganglion (DRG) and suggest that this filtering occurs at the axonal bifurcations (t-junctions). Using synchronous in vivo electrophysiological recordings from the peripheral and central processes of sensory neurons (in the spinal nerve and dorsal root), ganglionic transplantation of GABAergic proge

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Xia, Yufa, Xin Xu, and Fangling Pu. "PCBA-Net: Pyramidal Convolutional Block Attention Network for Synthetic Aperture Radar Image Change Detection." Remote Sensing 14, no. 22 (2022): 5762. http://dx.doi.org/10.3390/rs14225762.

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Synthetic aperture radar (SAR) imagery change detection (CD) is still a crucial and challenging task. Recently, with the boom of deep learning technologies, many deep learning methods have been presented for SAR CD, and they achieve superior performance to traditional methods. However, most of the available convolutional neural networks (CNN) approaches use diminutive and single convolution kernel, which has a small receptive field and cannot make full use of the context information and some useful detail information of SAR images. In order to address the above drawback, pyramidal convolutiona

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R.K., Isiaka, Yusuff S.O., and Jawando J.O. "Market Information Seeking Behaviour of Rural Farmers in Ogun State, Nigeria." African Journal of Social Sciences and Humanities Research 6, no. 6 (2023): 87–99. http://dx.doi.org/10.52589/ajsshr-oxtljxxr.

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On the premise that stakeholders in rural farmers development must understand the appropriate means of passing relevant information to farmers, this study examined the main sources of market information among rural farmers in Ogun State. It uses questionnaires to obtain quantitative and qualitative information relating to sources of marketing information, means of selling produce, place for selling produce, place for buying input and whether rural farmers in Ogun State do have up-takers for their produce. The study made use of purposive sampling of Ifo block, Simawa block, Ala block and Ado-Od

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Carey, Ryan M., Justus V. Verhagen, Daniel W. Wesson, Nicolás Pírez, and Matt Wachowiak. "Temporal Structure of Receptor Neuron Input to the Olfactory Bulb Imaged in Behaving Rats." Journal of Neurophysiology 101, no. 2 (2009): 1073–88. http://dx.doi.org/10.1152/jn.90902.2008.

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The dynamics of sensory input to the nervous system play a critical role in shaping higher-level processing. In the olfactory system, the dynamics of input from olfactory receptor neurons (ORNs) are poorly characterized and depend on multiple factors, including respiration-driven airflow through the nasal cavity, odorant sorption kinetics, receptor–ligand interactions between odorant and receptor, and the electrophysiological properties of ORNs. Here, we provide a detailed characterization of the temporal organization of ORN input to the mammalian olfactory bulb (OB) during natural respiration

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Rac-Lubashevsky, Rachel, and Michael J. Frank. "Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence." PLOS Computational Biology 17, no. 6 (2021): e1008971. http://dx.doi.org/10.1371/journal.pcbi.1008971.

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Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we developed a task that independently manipulates selective gating operations into working-memory (input gating), from working-memory (output gating), and of responses (motor gating) and tested the neural dynamics and computational principles that support them. Increases in gating demands, captured by gate switches, were expressed by distinct EEG correlates at each gating level that evolved dynamically i

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Abrar, Ahmad Jawahirul, and Hartono Siswono. "Student Attendance Tool with Radio Frequency Identification Integrated Web-Based Images." International Journal of Multi Discipline Science (IJ-MDS) 7, no. 2 (2024): 137. https://doi.org/10.26737/ij-mds.v7i2.5332.

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<p><em>Attendance is a data collection activity to determine the number of students present. This also applies to the learning process at school. Collecting attendance data manually has several weaknesses, such as inaccurate data when calculating the number of student attendance. This study aimed to create tools to make data collection easier. The tool that made the writer can be explained through the main block diagram which is divided into four parts: input block, process block, output block, and wireless block. In the input block, the RFID module and Esp32cam as student identifi

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Skrandies, Wolfgang. "The Processing of Stereoscopic Information in Human Visual Cortex: Psychophysical and Electrophysiological Evidence." Clinical Electroencephalography 32, no. 3 (2001): 152–59. http://dx.doi.org/10.1177/155005940103200310.

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Three-dimensional depth perception relies in part on the binocular fusion of horizontally disparate stimuli presented to the left and right eye. The mammalian visual system offers a unique possibility to study electrophysiologically cortical neuronal mechanisms: since the input of the two eyes remains separated up to the level of the visual cortex, evoked potential components that are generated exclusively by cortical structures may be explored when dynamic random-dot stereograms (dRDS) are presented. In a series of independent studies, we determined the scalp topography of dRDS evoked brain a

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Nobre, Anna Christina, Anling Rao, and Leonardo Chelazzi. "Selective Attention to Specific Features within Objects: Behavioral and Electrophysiological Evidence." Journal of Cognitive Neuroscience 18, no. 4 (2006): 539–61. http://dx.doi.org/10.1162/jocn.2006.18.4.539.

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Evidence regarding the ability of attention to bias neural processing at the level of single features has been gathering steadily, but most of the experiments to date used arrays with multiple objects and locations, making it difficult to rule out indirect influences from object or spatial attention. To investigate feature-specific selective attention, we have assessed the ability to select and ignore individual features within the same object. We used a negative-priming paradigm in which the color or the direction of internal motion of the object could determine the relevant response. Bidimen

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Harrington, Mary E., and Benjamin Rusak. "Photic responses of geniculo-hypothalamic tract neurons in the Syrian hamster." Visual Neuroscience 2, no. 4 (1989): 367–75. http://dx.doi.org/10.1017/s0952523800002170.

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AbstractThe putative neural pacemaker controlling circadian rhythms in mammals is contained in the suprachiasmatic nuclei of the hypothalamus. These nuclei receive a projection, the geniculo-hypothalamic tract (GHT), from neurons in the intergeniculate leaflet (IGL) and portions of the ventral lateral geniculate nucleus (vLGN) of the thalamus. We examined the responses of putative GHT neurons to diffuse illumination using extracellular electrophysiological recordings. The great majority of IGL neurons showed sustained ON responses to diffuse retinal illumination; vLGN neurons showed more varia

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Jang, Seok-Woo, and Sang-Hong Lee. "Robust Blocking of Human Faces with Personal Information Using Artificial Deep Neural Computing." Sustainability 12, no. 6 (2020): 2373. http://dx.doi.org/10.3390/su12062373.

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High-speed wired and wireless Internet are one of the useful ways to acquire various types of media data easily. In this circumstance, people also can easily get media data including objects with exposed personal information through the Internet. Exposure of personal information emerges as a social issue. This paper proposes an effective blocking technique that makes it possible to robustly detect target objects with exposed personal information from various types of input images with the use of deep neural computing and to effectively block the detected objects’ regions. The proposed techniqu

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Co, Celso Bation. "An Inference Algorithm for Electronic System Diagnostics at the Block Diagram Level." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 2 (2006): 168–72. http://dx.doi.org/10.20965/jaciii.2006.p0168.

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Mathematical processes are designed to enable computers to emulate human inference in troubleshooting. Crisp set operations facilitate the interactive handling of incomplete but precise input information. Fuzzy set operations handle imprecise but complete information. The algorithm design we discuss here is limited to crisp set operations. We use diagnostics at the electronic system block diagram level to illustrate inference algorithm methodology. The algorithm deduces root causes and excludes intermediary causes in its conclusions. It also provides information for anticipating subsequent mov

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Harris, Joseph A., Alex R. McMahon, and Marty G. Woldorff. "Disruption of Visual Awareness during the Attentional Blink Is Reflected by Selective Disruption of Late-stage Neural Processing." Journal of Cognitive Neuroscience 25, no. 11 (2013): 1863–74. http://dx.doi.org/10.1162/jocn_a_00443.

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Any information represented in the brain holds the potential to influence behavior. It is therefore of broad interest to determine the extent and quality of neural processing of stimulus input that occurs with and without awareness. The attentional blink is a useful tool for dissociating neural and behavioral measures of perceptual visual processing across conditions of awareness. The extent of higher-order visual information beyond basic sensory signaling that is processed during the attentional blink remains controversial. To determine what neural processing at the level of visual-object cat

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Yun, Eun Jeong, Hyeon Joong Kim, and Chong Gun Yu. "A multi-input energy harvesting system with independent energy harvesting block and power management block." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1379. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1379-1391.

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In the conventional approach widely used for multi-input energy harvesting (MIEH), energy harvesting, energy combining, and power conversion are performed integrally in an inductor sharing block through time multiplexing operations, which is not suitable for hot-pluggable systems. In the MIEH system proposed in this paper, an energy harvesting block (EHB) and a power management block (PMB) are independent of each other to increase the modularity of the system. Therefore, the EHB can be optimized to extract maximum power from energy sources, and the PMB can be focused on combining input energie

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Shao, Li-Rong, and F. Edward Dudek. "Electrophysiological Evidence Using Focal Flash Photolysis of Caged Glutamate That CA1 Pyramidal Cells Receive Excitatory Synaptic Input From the Subiculum." Journal of Neurophysiology 93, no. 5 (2005): 3007–11. http://dx.doi.org/10.1152/jn.00877.2004.

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The hippocampus sends efferent fibers to the subiculum, which projects to the entorinal cortex. Previous studies suggest that the hippocampal CA1 area may receive a projection back from the subiculum. This hypothesis was tested using whole cell recording from CA1 pyramidal cells while subicular neurons were selectively stimulated with focal flash photolysis of caged glutamate, which avoids stimulation of fibers of passage. Control experiments showed that focal flash stimulations caused direct glutamate-mediated depolarizations and bursts of action potentials in the recorded CA1 pyramidal cells

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Chen, Boyu, Zhihao Zhang, Nian Liu, Yang Tan, Xinyu Liu, and Tong Chen. "Spatiotemporal Convolutional Neural Network with Convolutional Block Attention Module for Micro-Expression Recognition." Information 11, no. 8 (2020): 380. http://dx.doi.org/10.3390/info11080380.

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A micro-expression is defined as an uncontrollable muscular movement shown on the face of humans when one is trying to conceal or repress his true emotions. Many researchers have applied the deep learning framework to micro-expression recognition in recent years. However, few have introduced the human visual attention mechanism to micro-expression recognition. In this study, we propose a three-dimensional (3D) spatiotemporal convolutional neural network with the convolutional block attention module (CBAM) for micro-expression recognition. First image sequences were input to a medium-sized conv

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Alekseev, Vladimir V., Natalia V. Orlova, and Anastasiya A. Minina. "DIGITAL MODELS OF INTELLIGENT DISTRIBUTED MEASUREMENT SYSTEMS." SOFT MEASUREMENTS AND COMPUTING 1, no. 6 (2021): 5–9. http://dx.doi.org/10.36871/2618-9976.2021.06.001.

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The issues of the information organization of the measurement control system of a distributed object based on digital models of its main blocks, databases reflecting the functional organization of each block, its input and output values aimed at increasing the accuracy of static and dynamic measurements are considered.

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Afanasieva, Ivetta, and Andrii Galkin. "Assessing the information flows and established their effects on the results of driver’s activity." Archives of Transport 45, no. 1 (2018): 7–23. http://dx.doi.org/10.5604/01.3001.0012.0938.

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The modern person in an era of information breakthrough faces the problem of choosing and processing information coming to her. Human activities in the systems "driver – vehicle - road - environment" - not an exception. The role and importance of information in all spheres of human activity have increased significantly. The paper aims to find and assess the patterns of information flow impact on the driver performance in the "driver - vehicle - road - environment" system. Electrophysiological methods, such as electroencephalography (EEG) and electrocardiography (ECG), are used to study the inf

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