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Journal articles on the topic 'Nervous network'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Araque, Alfonso, and Marta Navarrete. "Glial cells in neuronal network function." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2375–81. http://dx.doi.org/10.1098/rstb.2009.0313.

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Numerous evidence demonstrates that astrocytes, a type of glial cell, are integral functional elements of the synapses, responding to neuronal activity and regulating synaptic transmission and plasticity. Consequently, they are actively involved in the processing, transfer and storage of information by the nervous system, which challenges the accepted paradigm that brain function results exclusively from neuronal network activity, and suggests that nervous system function actually arises from the activity of neuron–glia networks. Most of our knowledge of the properties and physiological conseq

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Parker, David. "Complexities and uncertainties of neuronal network function." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1465 (2005): 81–99. http://dx.doi.org/10.1098/rstb.2005.1779.

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The nervous system generates behaviours through the activity in groups of neurons assembled into networks. Understanding these networks is thus essential to our understanding of nervous system function. Understanding a network requires information on its component cells, their interactions and their functional properties. Few networks come close to providing complete information on these aspects. However, even if complete information were available it would still only provide limited insight into network function. This is because the functional and structural properties of a network are not fi

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Wälchli, Thomas, Alexandra Ulmann-Schuler, Christoph Hintermüller, et al. "Nogo-A regulates vascular network architecture in the postnatal brain." Journal of Cerebral Blood Flow & Metabolism 37, no. 2 (2016): 614–31. http://dx.doi.org/10.1177/0271678x16675182.

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Recently, we discovered a new role for the well-known axonal growth inhibitory molecule Nogo-A as a negative regulator of angiogenesis in the developing central nervous system. However, how Nogo-A affected the three-dimensional (3D) central nervous system (CNS) vascular network architecture remained unknown. Here, using vascular corrosion casting, hierarchical, synchrotron radiation μCT-based network imaging and computer-aided network analysis, we found that genetic ablation of Nogo-A significantly increased the three-dimensional vascular volume fraction in the postnatal day 10 (P10) mouse bra

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Kamimura, Kenya, Ryosuke Inoue, Takuro Nagoya, et al. "Autonomic nervous system network and liver regeneration." World Journal of Gastroenterology 24, no. 15 (2018): 1616–21. http://dx.doi.org/10.3748/wjg.v24.i15.1616.

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Birder, Lori A. "Nervous network for lower urinary tract function." International Journal of Urology 20, no. 1 (2012): 4–12. http://dx.doi.org/10.1111/j.1442-2042.2012.03210.x.

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Manenti, Antonio, and Luca Roncati. "Nervous Network of Skeletonized Internal Thoracic Artery." Annals of Thoracic Surgery 95, no. 4 (2013): 1511–12. http://dx.doi.org/10.1016/j.athoracsur.2012.08.111.

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Dalrymple, A. N., S. A. Sharples, N. Osachoff, A. P. Lognon, and P. J. Whelan. "A supervised machine learning approach to characterize spinal network function." Journal of Neurophysiology 121, no. 6 (2019): 2001–12. http://dx.doi.org/10.1152/jn.00763.2018.

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Spontaneous activity is a common feature of immature neuronal networks throughout the central nervous system and plays an important role in network development and consolidation. In postnatal rodents, spontaneous activity in the spinal cord exhibits complex, stochastic patterns that have historically proven challenging to characterize. We developed a software tool for quickly and automatically characterizing and classifying episodes of spontaneous activity generated from developing spinal networks. We recorded spontaneous activity from in vitro lumbar ventral roots of 16 neonatal [postnatal da

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Oleskin, Alexander V., and Vladimir S. Kurdyumov. "Cellular Paradigm of Network Organization: Implications for Present-Day Society." Economic Strategies 144 (October 23, 2020): 68–77. http://dx.doi.org/10.33917/es-6.172.2020.68-77.

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Microorganisms and cultivated cells from human or animal tissues form complex network structures (colonies, biofilms, flocs, granules, etc.) that are characterized by efficient communication and behavior coordination in the absence of a central pacemaker. The decentralized (flat) network organization of such structures is due to the functioning of (a) information-transmitting intercellular contacts, (b) a signal field created by distant communication systems, including the quorum-sensing system; and (c) a biopolymer matrix that cements the cells of the whole network structure. Microbial networ

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Kułacz, Łukasz, and Adrian Kliks. "Brain-Inspired Data Transmission in Dense Wireless Network." Sensors 21, no. 2 (2021): 576. http://dx.doi.org/10.3390/s21020576.

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In this paper, the authors investigate the innovative concept of a dense wireless network supported by additional functionalities inspired by the human nervous system. The nervous system controls the entire human body due to reliable and energetically effective signal transmission. Among the structure and modes of operation of such an ultra-dense network of neurons and glial cells, the authors selected the most worthwhile when planning a dense wireless network. These ideas were captured, modeled in the context of wireless data transmission. The performance of such an approach have been analyze

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Brezina, Vladimir. "Beyond the wiring diagram: signalling through complex neuromodulator networks." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2363–74. http://dx.doi.org/10.1098/rstb.2010.0105.

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During the computations performed by the nervous system, its ‘wiring diagram’—the map of its neurons and synaptic connections—is dynamically modified and supplemented by multiple actions of neuromodulators that can be so complex that they can be thought of as constituting a biochemical network that combines with the neuronal network to perform the computation. Thus, the neuronal wiring diagram alone is not sufficient to specify, and permit us to understand, the computation that underlies behaviour. Here I review how such modulatory networks operate, the problems that their existence poses for

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11

Weaver, Janelle. "Gene Network in Fruit Flies Guides Nervous System Repair." PLoS Biology 9, no. 8 (2011): e1001136. http://dx.doi.org/10.1371/journal.pbio.1001136.

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12

Takamura, Katsumi. "Nervous network in larvae of the ascidian Ciona intestinalis." Development Genes and Evolution 208, no. 1 (1998): 1–8. http://dx.doi.org/10.1007/s004270050147.

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Miftakhov, R. N., and D. L. Wingate. "Modelling of the enteric nervous network: 3. Adrenergic neuron." Medical Engineering & Physics 16, no. 6 (1994): 450–57. http://dx.doi.org/10.1016/1350-4533(94)90068-x.

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14

Liang, Dong Dong, Hai Yang Wang, and Li Jun Zhong. "Building and Clustering Analysis of Brain Functional Network in Acupuncture." Advanced Materials Research 710 (June 2013): 633–36. http://dx.doi.org/10.4028/www.scientific.net/amr.710.633.

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Aimed at exploring the mechanism of acupuncture therapy, we develop functional brain networks using electroencephalogram (EEG) data, and use the methods cluster coefficient to analyze the functional networks. We develop the following result: during the acupuncture, the structure of network becomes tighter, the relativity grows stronger and the structure of the networks becomes complex. Our conclusion is that acupuncture is able to affect the firing properties of the central nervous system, and make the information transmission in the brain functional sections stronger.

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Pagania, Dimitra-Despoina, Adam Adamopoulos, and Spiridon Likothanassis. "Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System." International Journal of Systems Biology and Biomedical Technologies 1, no. 2 (2012): 48–65. http://dx.doi.org/10.4018/ijsbbt.2012040104.

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In this paper, the authors present mathematical models that describe individual neural networks of the Central Nervous System. Three cases are examined, varying in each case the values of the refractory period and the synaptic delay of a neuron. In the case where both the refractory period and the synaptic delay are bigger than one, the authors split the population of neurons into sub-groups with their own distinct synaptic delay. The proposed approach describes the neural regime of the network efficiently, especially in the case mentioned. Various examples with different network parameters ar

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Rocca, Maria A., Paola Valsasina, Martina Absinta, et al. "Central nervous system dysregulation extends beyond the pain-matrix network in cluster headache." Cephalalgia 30, no. 11 (2010): 1383–91. http://dx.doi.org/10.1177/0333102410365164.

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Introduction: In this study, we investigated whether abnormalities of the brain resting-state networks (RSNs) occur in patients with episodic cluster headache (CH), outside the attacks of the disease. Patients and methods: RS fMRI scans were acquired from 13 CH patients and 15 healthy controls. RS fMRI data were analyzed using both independent component analysis (ICA) and a seed correlation analysis, starting from the hypothalamus and the thalamus. Results: The seed correlation analysis revealed increased functional connectivity within the networks identified starting from the hypothalami and

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T, Vijayakumar. "NEURAL NETWORK ANALYSIS FOR TUMOR INVESTIGATION AND CANCER PREDICTION." December 2019 2019, no. 02 (2019): 89–98. http://dx.doi.org/10.36548/jes.2019.2.004.

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Predicting the category of tumors and the types of the cancer in its early stage remains as a very essential process to identify depth of the disease and treatment available for it. The neural network that functions similar to the human nervous system is widely utilized in the tumor investigation and the cancer prediction. The paper presents the analysis of the performance of the neural networks such as the, FNN (Feed Forward Neural Networks), RNN (Recurrent Neural Networks) and the CNN (Convolutional Neural Network) investigating the tumors and predicting the cancer. The results obtained by e

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T, Vijayakumar. "NEURAL NETWORK ANALYSIS FOR TUMOR INVESTIGATION AND CANCER PREDICTION." December 2019 2019, no. 02 (2019): 89–98. http://dx.doi.org/10.36548/jei.2019.2.004.

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Predicting the category of tumors and the types of the cancer in its early stage remains as a very essential process to identify depth of the disease and treatment available for it. The neural network that functions similar to the human nervous system is widely utilized in the tumor investigation and the cancer prediction. The paper presents the analysis of the performance of the neural networks such as the, FNN (Feed Forward Neural Networks), RNN (Recurrent Neural Networks) and the CNN (Convolutional Neural Network) investigating the tumors and predicting the cancer. The results obtained by e

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Kelava, Iva, Fabian Rentzsch, and Ulrich Technau. "Evolution of eumetazoan nervous systems: insights from cnidarians." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1684 (2015): 20150065. http://dx.doi.org/10.1098/rstb.2015.0065.

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Cnidarians, the sister group to bilaterians, have a simple diffuse nervous system. This morphological simplicity and their phylogenetic position make them a crucial group in the study of the evolution of the nervous system. The development of their nervous systems is of particular interest, as by uncovering the genetic programme that underlies it, and comparing it with the bilaterian developmental programme, it is possible to make assumptions about the genes and processes involved in the development of ancestral nervous systems. Recent advances in sequencing methods, genetic interference techn

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Ramirez, Jan-Marino, and Nathan Baertsch. "Defining the Rhythmogenic Elements of Mammalian Breathing." Physiology 33, no. 5 (2018): 302–16. http://dx.doi.org/10.1152/physiol.00025.2018.

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Breathing’s remarkable ability to adapt to changes in metabolic, environmental, and behavioral demands stems from a complex integration of its rhythm-generating network within the wider nervous system. Yet, this integration complicates identification of its specific rhythmogenic elements. Based on principles learned from smaller rhythmic networks of invertebrates, we define criteria that identify rhythmogenic elements of the mammalian breathing network and discuss how they interact to produce robust, dynamic breathing.

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Hidalgo, Alicia, Maria Losada-Perez, and Neale Harrison. "Glial kon/NG2 gene network for central nervous system repair." Neural Regeneration Research 12, no. 1 (2017): 31. http://dx.doi.org/10.4103/1673-5374.198969.

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22

Bon-Frauches, Ana Carina, and Werend Boesmans. "The enteric nervous system: the hub in a star network." Nature Reviews Gastroenterology & Hepatology 17, no. 12 (2020): 717–18. http://dx.doi.org/10.1038/s41575-020-00377-2.

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23

Wang, Jianjian, Yuze Cao, Xiaoyu Lu, et al. "MicroRNAs and nervous system diseases: network insights and computational challenges." Briefings in Bioinformatics 21, no. 3 (2019): 863–75. http://dx.doi.org/10.1093/bib/bbz032.

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Abstract The nervous system is one of the most complex biological systems, and nervous system disease (NSD) is a major cause of disability and mortality. Extensive evidence indicates that numerous dysregulated microRNAs (miRNAs) are involved in a broad spectrum of NSDs. A comprehensive review of miRNA-mediated regulatory will facilitate our understanding of miRNA dysregulation mechanisms in NSDs. In this work, we summarized currently available databases on miRNAs and NSDs, star NSD miRNAs, NSD spectrum width, miRNA spectrum width and the distribution of miRNAs in NSD sub-categories by reviewin

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Raviola, Elio, and Paolo Mazzarello. "The diffuse nervous network of Camillo Golgi: Facts and fiction." Brain Research Reviews 66, no. 1-2 (2011): 75–82. http://dx.doi.org/10.1016/j.brainresrev.2010.09.005.

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Miftakhov, R. N., and D. L. Wingate. "Mathematical modelling of the enteric nervous network 1: cholinergic neuron." Medical Engineering & Physics 16, no. 1 (1994): 67–73. http://dx.doi.org/10.1016/1350-4533(94)90013-2.

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Raya-Díaz, Karina, Carelia Gaxiola-Pacheco, and Manuel Castañón-Puga. "Tracing Structures in Networks to Capture its Organization." International Journal of Applied Evolutionary Computation 6, no. 4 (2015): 1–13. http://dx.doi.org/10.4018/ijaec.2015100101.

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This article analyzes the central nervous system as a dynamic complex system, focusing on the micro-interactions that allow neurons to become part of a network. The purpose of this analysis is to identify organizational levels generated in neural networks when a fault occurs and how topological structures are created during the information transmission, as in computer networks. The calculation of clustering coefficient was using as a method to observe the association of each node of the network. A dendrogram was created to reflect the changes in the interactions of the links of nodes.

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Miftakhov, R. N., and D. L. Wingate. "Mathematic modelling of the enteric nervous network. 5. Excitation propagation in a planar neural network." Medical Engineering & Physics 17, no. 1 (1995): 11–19. http://dx.doi.org/10.1016/1350-4533(95)90372-i.

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He, Bin, Qiang Lu, and Zhipeng Wang. "Coupling effect analysis between the central nervous system and the CPG network with proprioception." Robotica 33, no. 6 (2014): 1281–94. http://dx.doi.org/10.1017/s0263574714000708.

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SUMMARYHuman rhythmic movement is generated by central pattern generators (CPGs), and their application to robot control has attracted interest of many scientists. But the coupling relationship between the central nervous system and the CPG network with external inputs is still not unveiled. According to biological experiment results, the CPG network is controlled by the neural system; in other words, the interaction between the central nervous system and the CPG network can control human movement effectively. This paper offers a complex human locomotion model, which illustrates the coupling r

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Marcoli, Manuela, Luigi F. Agnati, Francesco Benedetti, et al. "On the role of the extracellular space on the holistic behavior of the brain." Reviews in the Neurosciences 26, no. 5 (2015): 489–506. http://dx.doi.org/10.1515/revneuro-2015-0007.

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AbstractMultiple players are involved in the brain integrative action besides the classical neuronal and astrocyte networks. In the past, the concept of complex cellular networks has been introduced to indicate that all the cell types in the brain can play roles in its integrative action. Intercellular communication in the complex cellular networks depends not only on well-delimited communication channels (wiring transmission) but also on diffusion of signals in physically poorly delimited extracellular space pathways (volume transmission). Thus, the extracellular space and the extracellular m

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King, B. F., and J. H. Szurszewski. "Peripheral reflex pathways involving abdominal viscera: transmission of impulses through prevertebral ganglia." American Journal of Physiology-Gastrointestinal and Liver Physiology 256, no. 3 (1989): G581—G588. http://dx.doi.org/10.1152/ajpgi.1989.256.3.g581.

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In neurophysiological terms, divergence describes the transmission of impulse traffic from a single afferent line, through an integrating nervous system, and out into multiple efferent lines. This feature has been ascribed to the vertebrate central nervous system and invertebrate ganglionic systems but has not yet been associated with the autonomic nervous system in mammals. Therefore, this study investigated the degree of divergence of afferent impulse traffic through a mammalian autonomic ganglion, the inferior mesenteric ganglion (IMG) in guinea pig. Multiunit discharges were recorded extra

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Betzel, Richard F. "Organizing principles of whole-brain functional connectivity in zebrafish larvae." Network Neuroscience 4, no. 1 (2020): 234–56. http://dx.doi.org/10.1162/netn_a_00121.

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Network science has begun to reveal the fundamental principles by which large-scale brain networks are organized, including geometric constraints, a balance between segregative and integrative features, and functionally flexible brain areas. However, it remains unknown whether whole-brain networks imaged at the cellular level are organized according to similar principles. Here, we analyze whole-brain functional networks reconstructed from calcium imaging data recorded in larval zebrafish. Our analyses reveal that functional connections are distance-dependent and that networks exhibit hierarchi

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Kadarusman, L., A. Rahmat, and D. Priyandoko. "The Relationship of Students’ Thinking Level and the Ability to Develop Proposition Network Representation of Human Nervous System in Modeling Based Learning (MbL)." Jurnal Pendidikan IPA Indonesia 9, no. 3 (2020): 361–70. http://dx.doi.org/10.15294/jpii.v9i3.24214.

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The purpose of this research is to reveal the relationship of thinking level with the students’ ability to form a representation of proposition network on the human nervous system concept using modeling based learning. This was quantitative research with 30 science class’ students of grade XI from one private school in Bandung as the subject research, who learned using modeling-based learning (MbL). The instruments used to measure the thinking level were 19 numbers of multiple choices and 2 essays that were developed based on Marzano and Kendall’s level thinking indicator. The result of this r

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Del Principe, Maria Ilaria, Elisa Buzzatti, Alfonso Piciocchi, et al. "Clinical significance of occult central nervous system disease in adult acute lymphoblastic leukemia. A multicenter report from the Campus ALL Network." Haematologica 106, no. 1 (2019): 39–45. http://dx.doi.org/10.3324/haematol.2019.231704.

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In acute lymphoblastic leukemia, flow cytometry detects more accurately leukemic cells in patients' cerebrospinal fluid compared to conventional cytology. However, the clinical significance of flow cytometry positivity with a negative cytology - occult central nervous system disease - is not clear. In the framework of the national Campus ALL program, we retrospectively evaluated the incidence of occult central nervous system disease and its impact on outcome in 240 adult patients with newly diagnosed acute lymphoblastic leukemia. All cerebrospinal fluid samples were investigated by conventiona

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Sharma, Subhash Kumar. "An Overview on Neural Network and Its Application." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1242–48. http://dx.doi.org/10.22214/ijraset.2021.37597.

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Abstract: In this paper an overview on neural network and its application is focused. In Real-world business applications for neural networks are booming. In some cases, NNs have already become the method of choice for businesses that use hedge fund analytics, marketing segmentation, and fraud detection. Here are some neural network innovators who are changing the business landscape. Here shown that how the biological model of neural network functions, all mammalian brains consist of interconnected neurons that transmit electrochemical signals. Neurons have several components: the body, which

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Priyadarshini, Sushree Bibhuprada B. "A Comprehensive Study on Architecture of Neural Networks and Its Prospects in Cognitive Computing." International Journal of Synthetic Emotions 11, no. 2 (2020): 37–55. http://dx.doi.org/10.4018/ijse.2020070103.

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This paper proffers an overview of neural network, coupled with early neural network architecture, learning methods, and applications. Basically, neural networks are simplified models of biological nervous systems and that's why they have drawn crucial attention of research community in the domain of artificial intelligence. Basically, such networks are highly interconnected networks possessing a huge number of processing elements known as neurons. Such networks learn by examples and exhibit the mapping capabilities, generalization, fault resilience conjointly with escalated rate of informatio

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Natale, Gianfranco, Larisa Ryskalin, Gabriele Morucci, Gloria Lazzeri, Alessandro Frati, and Francesco Fornai. "The Baseline Structure of the Enteric Nervous System and Its Role in Parkinson’s Disease." Life 11, no. 8 (2021): 732. http://dx.doi.org/10.3390/life11080732.

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The gastrointestinal (GI) tract is provided with a peculiar nervous network, known as the enteric nervous system (ENS), which is dedicated to the fine control of digestive functions. This forms a complex network, which includes several types of neurons, as well as glial cells. Despite extensive studies, a comprehensive classification of these neurons is still lacking. The complexity of ENS is magnified by a multiple control of the central nervous system, and bidirectional communication between various central nervous areas and the gut occurs. This lends substance to the complexity of the micro

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Parker, David. "Neuronal network analyses: premises, promises and uncertainties." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2315–28. http://dx.doi.org/10.1098/rstb.2010.0043.

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Neuronal networks assemble the cellular components needed for sensory, motor and cognitive functions. Any rational intervention in the nervous system will thus require an understanding of network function. Obtaining this understanding is widely considered to be one of the major tasks facing neuroscience today. Network analyses have been performed for some years in relatively simple systems. In addition to the direct insights these systems have provided, they also illustrate some of the difficulties of understanding network function. Nevertheless, in more complex systems (including human), clai

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Levy, Edwin. "Networks and Teleology." Canadian Journal of Philosophy Supplementary Volume 14 (1988): 159–86. http://dx.doi.org/10.1080/00455091.1988.10715948.

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In 1973 Niels Kaj Jerne announced an important new hypothesis about the immune system (‘IS’). That suggestion is based on several similarities between IS and the central nervous system. Jerne postulated that IS, like the nervous system, is a network.I am convinced that the description of the immune system as a functional network of lymphocytes and antibody molecules is essential to its understanding, and that the network as a whole functions in a way that is peculiar to and characteristic of the internal interactions of the elements of the immune system itself: it displays what I call eigen-be

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Haas, Helmut L., Olga A. Sergeeva, and Oliver Selbach. "Histamine in the Nervous System." Physiological Reviews 88, no. 3 (2008): 1183–241. http://dx.doi.org/10.1152/physrev.00043.2007.

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Histamine is a transmitter in the nervous system and a signaling molecule in the gut, the skin, and the immune system. Histaminergic neurons in mammalian brain are located exclusively in the tuberomamillary nucleus of the posterior hypothalamus and send their axons all over the central nervous system. Active solely during waking, they maintain wakefulness and attention. Three of the four known histamine receptors and binding to glutamate NMDA receptors serve multiple functions in the brain, particularly control of excitability and plasticity. H1 and H2 receptor-mediated actions are mostly exci

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Katagiri, Hideki. "Metabolic Information Highways- Metabolic Information Network among Organs by Nervous System." Nihon Naika Gakkai Zasshi 98, no. 5 (2009): 1127–33. http://dx.doi.org/10.2169/naika.98.1127.

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Choi, Kyoung Gyu, and Ki Duk Park. "Preliminary Study of Experimental Neural Network Model in the Nervous System." Ewha Medical Journal 18, no. 4 (1995): 411. http://dx.doi.org/10.12771/emj.1995.18.4.411.

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Schemann, Michael, Klaus Michel, Saskia Peters, Stephan C. Bischoff, and Michel Neunlist. "III. Imaging and the gastrointestinal tract: mapping the human enteric nervous system." American Journal of Physiology-Gastrointestinal and Liver Physiology 282, no. 6 (2002): G919—G925. http://dx.doi.org/10.1152/ajpgi.00043.2002.

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Monitoring membrane potentials by multisite optical recording techniques using voltage-sensitive dyes is ideal for direct analysis of network signaling. We applied this technology to monitor fast and slow excitability changes in the enteric nervous system and in hundreds of neurons simultaneously at cellular and subcellular resolution. This imaging technique presents a powerful tool to study activity patterns in enteric pathways and to assess differential activation of nerves in the gut to a number of stimuli that modulate neuronal activity directly or through synaptic mechanisms. The optical

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Hasan, Bassam, Sameer Alani, and Mohammed Ayad Saad. "Secured node detection technique based on artificial neural network for wireless sensor network." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 536. http://dx.doi.org/10.11591/ijece.v11i1.pp536-544.

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The wireless sensor network is becoming the most popular network in the last recent years as it can measure the environmental conditions and send them to process purposes. Many vital challenges face the deployment of WSNs such as energy consumption and security issues. Various attacks could be subjects against WSNs and cause damage either in the stability of communication or in the destruction of the sensitive data. Thus, the demands of intrusion detection-based energy-efficient techniques rise dramatically as the network deployment becomes vast and complicated. Qualnet simulation is used to m

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Shea, Thomas B. "An Overview of Studies Demonstrating that ex vivo Neuronal Networks Display Multiple Complex Behaviors: Emergent Properties of Nearest-Neighbor Interactions of Excitatory and Inhibitory Neurons." Open Neurology Journal 15, no. 1 (2021): 3–15. http://dx.doi.org/10.2174/1874205x02115010003.

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The responsiveness of the human nervous system ranges from the basic sensory interpretation and motor regulation to so-called higher-order functions such as emotion and consciousness. Aspects of higher-order functions are displayed by other mammals and birds. In efforts to understand how neuronal interaction can generate such a diverse functionality, murine embryonic cortical neurons were cultured on Petri dishes containing multi-electrode arrays that allowed recording and stimulation of neuronal activity. Despite the lack of major architectural features that govern nervous system development

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Friedman, Allyson K., Yuriy Zhurov, Bjoern Ch Ludwar, and Klaudiusz R. Weiss. "Motor Outputs in a Multitasking Network: Relative Contributions of Inputs and Experience-Dependent Network States." Journal of Neurophysiology 102, no. 6 (2009): 3711–27. http://dx.doi.org/10.1152/jn.00844.2009.

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Network outputs elicited by a specific stimulus may differ radically depending on the momentary network state. One class of networks states—experience-dependent states—is known to operate in numerous networks, yet the fundamental question concerning the relative role that inputs and states play in determining the network outputs remains to be investigated in a behaviorally relevant manner. Because previous work indicated that in the isolated nervous system the motor outputs of the Aplysia feeding network are affected by experience-dependent states, we sought to establish the behavioral relevan

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Berezin, Irene, Jan D. Huizinga, Laura Farraway, and Edwin E. Daniel. "Innervation of interstitial cells of Cajal by vasoactive intestinal polypeptide containing nerves in canine colon." Canadian Journal of Physiology and Pharmacology 68, no. 7 (1990): 922–32. http://dx.doi.org/10.1139/y90-141.

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The hypothesis was tested, through structural and functional studies, that interstitial cells of Cajal receive and can respond to direct innervation from nerves containing the vasoactive intestinal polypeptide neuromediator. The submucosal network of interstitial cells of Cajal has been postulated to provide pacemaking activity for the circular muscle and to be involved in neurotransmission from noradrenergic, noncholinergic nerves for which vasoactive intestinal polypeptide is a putative mediator. The distribution of vasoactive intestinal polypeptide and substance P immunoreactive material in

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Parpinelli Bonfim, Bruno, Rafael Bratifich, Marcelo Marques da Silva, and Hugo Gomes Silva. "PREVISÃO DE CONSUMO DE ENERGIA UTILIZANDO REDE NEURAL COM RETARDO DE TEMPO (TDNN)." COLLOQUIUM EXACTARUM 12, no. 4 (2021): 63–70. http://dx.doi.org/10.5747/ce.2020.v12.n4.e340.

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As artificial neural networks (ANN), they are computational models inspired by the way the nervous system of living beings work, these models can be used for processing and classification of data and applications, such as series and function prediction. Thus, this work used a time-delayed neural network (TDNN) to predict the demand for active energy on the P4 bus in the city of Presidente Prudente

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Holland, Amy Marie, Ana Carina Bon-Frauches, Daniel Keszthelyi, Veerle Melotte, and Werend Boesmans. "The enteric nervous system in gastrointestinal disease etiology." Cellular and Molecular Life Sciences 78, no. 10 (2021): 4713–33. http://dx.doi.org/10.1007/s00018-021-03812-y.

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AbstractA highly conserved but convoluted network of neurons and glial cells, the enteric nervous system (ENS), is positioned along the wall of the gut to coordinate digestive processes and gastrointestinal homeostasis. Because ENS components are in charge of the autonomous regulation of gut function, it is inevitable that their dysfunction is central to the pathophysiology and symptom generation of gastrointestinal disease. While for neurodevelopmental disorders such as Hirschsprung, ENS pathogenesis appears to be clear-cut, the role for impaired ENS activity in the etiology of other gastroin

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Peterson, Hope, Rhiannon E. Mayhugh, Mohsen Bahrami, et al. "Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers." Brain Sciences 11, no. 6 (2021): 817. http://dx.doi.org/10.3390/brainsci11060817.

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Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence. The autonomic nervous system (ANS) has a well-documented relationship with alcohol use, and a growing body of research is finding links between the ANS and functional brain networks. This study recruited everyday drinkers in an effort to uncover the relationship between alcohol abstinence, ANS function, and whole brain functional brain networks. Participants (n = 29), 24–60 years-of-age, consumed moderate levels o

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Koch, Paul A., and Gerry Leisman. "The local is running on the express track: Localist models better facilitate understanding of nervous system function." Behavioral and Brain Sciences 27, no. 5 (2004): 700. http://dx.doi.org/10.1017/s0140525x04260162.

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Artificial neural networks have weaknesses as models of cognition. A conventional neural network has limitations of computational power. The localist representation is at least equal to its competition. We contend that locally connected neural networks are perfectly capable of storing and retrieving the individual features, but the process of reconstruction must be otherwise explained. We support the localist position but propose a “hybrid” model that can begin to explain cognition in anatomically plausible terms.

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