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Artículos de revistas sobre el tema "Sensory input"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Santos, Bruno A., Rogerio M. Gomes, Xabier E. Barandiaran, and Phil Husbands. "Active Role of Self-Sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model." Neural Computation 34, no. 3 (2022): 686–715. http://dx.doi.org/10.1162/neco_a_01471.

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Abstract A growing body of work has demonstrated the importance of ongoing oscillatory neural activity in sensory processing and the generation of sensorimotor behaviors. It has been shown, for several different brain areas, that sensory-evoked neural oscillations are generated from the modulation by sensory inputs of inherent self-sustained neural activity (SSA). This letter contributes to that strand of research by introducing a methodology to investigate how much of the sensory-evoked oscillatory activity is generated by SSA and how much is generated by sensory inputs within the context of

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2

Bui, Tuan V., and Robert M. Brownstone. "Sensory-evoked perturbations of locomotor activity by sparse sensory input: a computational study." Journal of Neurophysiology 113, no. 7 (2015): 2824–39. http://dx.doi.org/10.1152/jn.00866.2014.

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Sensory inputs from muscle, cutaneous, and joint afferents project to the spinal cord, where they are able to affect ongoing locomotor activity. Activation of sensory input can initiate or prolong bouts of locomotor activity depending on the identity of the sensory afferent activated and the timing of the activation within the locomotor cycle. However, the mechanisms by which afferent activity modifies locomotor rhythm and the distribution of sensory afferents to the spinal locomotor networks have not been determined. Considering the many sources of sensory inputs to the spinal cord, determini

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3

Mao, Yu-Ting, Tian-Miao Hua, and Sarah L. Pallas. "Competition and convergence between auditory and cross-modal visual inputs to primary auditory cortical areas." Journal of Neurophysiology 105, no. 4 (2011): 1558–73. http://dx.doi.org/10.1152/jn.00407.2010.

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Sensory neocortex is capable of considerable plasticity after sensory deprivation or damage to input pathways, especially early in development. Although plasticity can often be restorative, sometimes novel, ectopic inputs invade the affected cortical area. Invading inputs from other sensory modalities may compromise the original function or even take over, imposing a new function and preventing recovery. Using ferrets whose retinal axons were rerouted into auditory thalamus at birth, we were able to examine the effect of varying the degree of ectopic, cross-modal input on reorganization of dev

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4

Ugawa, Yoshikazu. "Sensory input and basal ganglia." Rinsho Shinkeigaku 52, no. 11 (2012): 862–65. http://dx.doi.org/10.5692/clinicalneurol.52.862.

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5

Franosch, Jan-Moritz P., Sebastian Urban, and J. Leo van Hemmen. "Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions." Neural Computation 25, no. 12 (2013): 3113–30. http://dx.doi.org/10.1162/neco_a_00520.

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How can an animal learn from experience? How can it train sensors, such as the auditory or tactile system, based on other sensory input such as the visual system? Supervised spike-timing-dependent plasticity (supervised STDP) is a possible answer. Supervised STDP trains one modality using input from another one as “supervisor.” Quite complex time-dependent relationships between the senses can be learned. Here we prove that under very general conditions, supervised STDP converges to a stable configuration of synaptic weights leading to a reconstruction of primary sensory input.

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6

Bell, C. C., V. Z. Han, Y. Sugawara, and K. Grant. "Synaptic plasticity in the mormyrid electrosensory lobe." Journal of Experimental Biology 202, no. 10 (1999): 1339–47. http://dx.doi.org/10.1242/jeb.202.10.1339.

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The mormyrid electrosensory lateral line lobe (ELL) is one of several different sensory structures in fish that behave as adaptive sensory processors. These structures generate negative images of predictable features in the sensory inflow which are added to the actual inflow to minimize the effects of predictable sensory features. The negative images are generated through a process of association between centrally originating predictive signals and sensory inputs from the periphery. In vitro studies in the mormyrid ELL show that pairing of parallel fiber input with Na+ spikes in postsynaptic c

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7

Etesami, Jalal, and Philipp Geiger. "Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (2020): 10118–25. http://dx.doi.org/10.1609/aaai.v34i06.6571.

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Learning from demonstrations (LfD) is an efficient paradigm to train AI agents. But major issues arise when there are differences between (a) the demonstrator's own sensory input, (b) our sensors that observe the demonstrator and (c) the sensory input of the agent we train.In this paper, we propose a causal model-based framework for transfer learning under such “sensor-shifts”, for two common LfD tasks: (1) inferring the effect of the demonstrator's actions and (2) imitation learning. First we rigorously analyze, on the population-level, to what extent the relevant underlying mechanisms (the a

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8

Havrylovych, Mariia, and Valeriy Danylov. "Research of autoencoder-based user biometric verification with motion patterns." System research and information technologies, no. 2 (August 30, 2022): 128–36. http://dx.doi.org/10.20535/srit.2308-8893.2022.2.10.

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In the current research, we continue our previous study regarding motion-based user biometric verification, which consumes sensory data. Sensory-based verification systems empower the continuous authentication narrative – as physiological biometric methods mainly based on photo or video input meet a lot of difficulties in implementation. The research aims to analyze how various components of sensor data from an accelerometer affect and contribute to defining the process of unique person motion patterns and understanding how it may express the human behavioral patterns with different activity t

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9

Henn, V. "Sensory Input Modifying Central Motor Actions." Stereotactic and Functional Neurosurgery 49, no. 5 (1986): 251–55. http://dx.doi.org/10.1159/000100183.

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10

Stolz, Thomas, Max Diesner, Susanne Neupert, et al. "Descending octopaminergic neurons modulate sensory-evoked activity of thoracic motor neurons in stick insects." Journal of Neurophysiology 122, no. 6 (2019): 2388–413. http://dx.doi.org/10.1152/jn.00196.2019.

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Neuromodulatory neurons located in the brain can influence activity in locomotor networks residing in the spinal cord or ventral nerve cords of invertebrates. How inputs to and outputs of neuromodulatory descending neurons affect walking activity is largely unknown. With the use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and immunohistochemistry, we show that a population of dorsal unpaired median (DUM) neurons descending from the gnathal ganglion to thoracic ganglia of the stick insect Carausius morosus contains the neuromodulatory amine octopamine. These

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11

Prochazka, Arthur, and Peter Ellaway. "Sensory Systems in the Control of Movement." Comprehensive Physiology 2, no. 4 (2012): 2615–27. https://doi.org/10.1002/j.2040-4603.2012.tb00464.x.

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AbstractAnimal movement is immensely varied, from the simplest reflexive responses to the most complex, dexterous voluntary tasks. Here, we focus on the control of movement in mammals, including humans. First, the sensory inputs most closely implicated in controlling movement are reviewed, with a focus on somatosensory receptors. The response properties of the large muscle receptors are examined in detail. The role of sensory input in the control of movement is then discussed, with an emphasis on the control of locomotion. The interaction between central pattern generators and sensory input, i

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12

Cattaneo, D., and J. Jonsdottir. "Sensory impairments in quiet standing in subjects with multiple sclerosis." Multiple Sclerosis Journal 15, no. 1 (2009): 59–67. http://dx.doi.org/10.1177/1352458508096874.

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Balance disorders and falls are frequently observed in subjects with multiple sclerosis (MS). Along with motor impairment, sensory disorders and integration deficits of sensory inputs lead to inadequate motor responses. The assessment of these sensory disorders in an every day tasks, such as upright stance, increases our knowledge of postural control in this pathology, thus promoting more effective treatments. The aim of the study was to describe sensory impairments and sensory strategies in different sensory conditions. A stabilometric assessment was carried out in a consecutive convenience s

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13

Ozdemir, Recep A., and Monica A. Perez. "Afferent input and sensory function after human spinal cord injury." Journal of Neurophysiology 119, no. 1 (2018): 134–44. http://dx.doi.org/10.1152/jn.00354.2017.

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Spinal cord injury (SCI) often disrupts the integrity of afferent (sensory) axons projecting through the spinal cord dorsal columns to the brain. Examinations of ascending sensory tracts, therefore, are critical for monitoring the extent of SCI and recovery processes. In this review, we discuss the most common electrophysiological techniques used to assess transmission of afferent inputs to the primary motor cortex (i.e., afferent input-induced facilitation and inhibition) and the somatosensory cortex [i.e., somatosensory evoked potentials (SSEPs), dermatomal SSEPs, and electrical perceptual t

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14

Yu, Yinghua, Laurentius Huber, Jiajia Yang, et al. "Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex." Science Advances 5, no. 5 (2019): eaav9053. http://dx.doi.org/10.1126/sciadv.aav9053.

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When humans perceive a sensation, their brains integrate inputs from sensory receptors and process them based on their expectations. The mechanisms of this predictive coding in the human somatosensory system are not fully understood. We fill a basic gap in our understanding of the predictive processing of somatosensation by examining the layer-specific activity in sensory input and predictive feedback in the human primary somatosensory cortex (S1). We acquired submillimeter functional magnetic resonance imaging data at 7T (n = 10) during a task of perceived, predictable, and unpredictable touc

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15

Marken, Richard S., and Brittany Horth. "When Causality Does Not Imply Correlation: More Spadework at the Foundations of Scientific Psychology." Psychological Reports 108, no. 3 (2011): 943–54. http://dx.doi.org/10.2466/03.pr0.108.3.943-954.

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Experimental research in psychology is based on an open-loop causal model which assumes that sensory input causes behavioral output. This model was tested in a tracking experiment where participants were asked to control a cursor, keeping it aligned with a target by moving a mouse to compensate for disturbances of differing difficulty. Since cursor movements (inputs) are the only observable cause of mouse movements (outputs), the open-loop model predicts that there will be a correlation between input and output that increases as tracking performance improves. In fact, the correlation between s

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16

Bastian, J. "Plasticity in an electrosensory system. I. General features of a dynamic sensory filter." Journal of Neurophysiology 76, no. 4 (1996): 2483–96. http://dx.doi.org/10.1152/jn.1996.76.4.2483.

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1. In this study we describe changes in neuronal responses within the primary electrosensory processing nucleus of a weakly electric fish that occur when the fish are exposed to repetitive patterns of electrosensory stimuli. Extracellular single-unit recordings show that pyramidal cells within the electrosensory lateral line lobe develop, over a time course of several minutes, an insensitivity to repetitive stimuli applied to a cell's receptive field (local stimulus). The pyramidal cell response cancellation only develops if the local stimulus is applied simultaneously with a diffuse pattern o

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17

Fadli, Muhammad, Wahyuni Wahyuni, and Farid Rahman. "Penatalaksanaan Fisioterapi pada Pasien Diabetic Peripheral Neuropaty dengan Metode Sensorimotor Exercise." Ahmar Metastasis Health Journal 1, no. 3 (2021): 92–100. http://dx.doi.org/10.53770/amhj.v1i3.53.

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ABSTRACK Introduction:Diabetic peripheral neuropathy causes sensory disturbances such as the reduced sensation of vibration, pressure, pain, and joint position, this will result in reduced ability to balance and coordinate a person's gait. Sensory-motor exercise is used to correct muscle imbalances through sensory input. This study aims to determine the effect of exercise therapy on sensory improvement, balance, and functional ability using the sensory-motor exercise method in patients with diabetic peripheral neuropathy. The research method used in this study is an experiment with the case re

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18

Creutzig, Felix, and Henning Sprekeler. "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach." Neural Computation 20, no. 4 (2008): 1026–41. http://dx.doi.org/10.1162/neco.2008.01-07-455.

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Understanding the guiding principles of sensory coding strategies is a main goal in computational neuroscience. Among others, the principles of predictive coding and slowness appear to capture aspects of sensory processing. Predictive coding postulates that sensory systems are adapted to the structure of their input signals such that information about future inputs is encoded. Slow feature analysis (SFA) is a method for extracting slowly varying components from quickly varying input signals, thereby learning temporally invariant features. Here, we use the information bottleneck method to state

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19

Ishak, Shaziela, Andrea Bubka, and Frederick Bonato. "Visual Occlusion Decreases Motion Sickness in a Flight Simulator." Perception 47, no. 5 (2018): 521–30. http://dx.doi.org/10.1177/0301006618761336.

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Sensory conflict theories of motion sickness (MS) assert that symptoms may result when incoming sensory inputs (e.g., visual and vestibular) contradict each other. Logic suggests that attenuating input from one sense may reduce conflict and hence lessen MS symptoms. In the current study, it was hypothesized that attenuating visual input by blocking light entering the eye would reduce MS symptoms in a motion provocative environment. Participants sat inside an aircraft cockpit mounted onto a motion platform that simultaneously pitched, rolled, and heaved in two conditions. In the occluded condit

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20

Raffi, Milena, Aurelio Trofè, Monica Perazzolo, Andrea Meoni, and Alessandro Piras. "Sensory Input Modulates Microsaccades during Heading Perception." International Journal of Environmental Research and Public Health 18, no. 6 (2021): 2865. http://dx.doi.org/10.3390/ijerph18062865.

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Microsaccades are small eye movements produced during attempted fixation. During locomotion, the eyes scan the environment; the gaze is not always directed to the focus of expansion of the optic flow field. We sought to investigate whether the microsaccadic activity was modulated by eye position during the view of radial optic flow stimuli, and if the presence or lack of a proprioceptive input signal may influence the microsaccade characteristics during self-motion perception. We recorded the oculomotor activity when subjects were either standing or sitting in front of a screen during the view

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21

Louis, Matthieu, Thomas Huber, Richard Benton, Thomas P. Sakmar, and Leslie B. Vosshall. "Bilateral olfactory sensory input enhances chemotaxis behavior." Nature Neuroscience 11, no. 2 (2007): 187–99. http://dx.doi.org/10.1038/nn2031.

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22

Fox, C. R., M. D. Lintal, S. S. Modesto, and A. Owens. "Sensory input for real-world, controlled braking." Journal of Vision 3, no. 9 (2010): 381. http://dx.doi.org/10.1167/3.9.381.

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23

SHERMAN, CARL. "Early Sensory Input Shapes Brain's Neural Structure." Clinical Psychiatry News 33, no. 5 (2005): 34. http://dx.doi.org/10.1016/s0270-6644(05)70350-7.

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24

Bastian, Joseph. "Modulation of Calcium-Dependent Postsynaptic Depression Contributes to an Adaptive Sensory Filter." Journal of Neurophysiology 80, no. 6 (1998): 3352–55. http://dx.doi.org/10.1152/jn.1998.80.6.3352.

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Bastian, Joseph. Modulation of calcium-dependent postsynaptic depression contributes to an adaptive sensory filter. J. Neurophysiol. 80: 3352–3355, 1998. The ability of organisms to ignore unimportant patterns of sensory input may be as critical as the ability to attend to those that are behaviorally relevant. Mechanisms used to reject irrelevant inputs range from peripheral filters, which allow only restricted portions of the spectrum of possible inputs to pass, to higher-level processes, which actively select stimuli to be “attended to.” Recent studies of several lower vertebrates demonstrat

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25

SUN, HAO, HANNAH E. SMITHSON, QASIM ZAIDI, and BARRY B. LEE. "Do magnocellular and parvocellular ganglion cells avoid short-wavelength cone input?" Visual Neuroscience 23, no. 3-4 (2006): 441–46. http://dx.doi.org/10.1017/s0952523806233042.

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We recently developed a new technique to measure cone inputs to visual neurons and used this technique to seek short-wavelength-sensitive (S) cone inputs to parasol, magnocellular (MC) and midget, parvocellular (PC) ganglion cells. Here, we compare our physiological measurements of S-cone weights to those predicted by a random wiring model that assumes cells' receptive fields receive input from mixed cone types. The random wiring model predicts the average weights of S-cone input to be similar to the total percentage of S-cones but with considerable scatter, and the S-cone input polarity to be

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26

Javanmard-Gh., A., D. Iwaszczuk, and S. Roth. "DEEPLIO: DEEP LIDAR INERTIAL SENSOR FUSION FOR ODOMETRY ESTIMATION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2021 (June 17, 2021): 47–54. http://dx.doi.org/10.5194/isprs-annals-v-1-2021-47-2021.

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Abstract. Having a good estimate of the position and orientation of a mobile agent is essential for many application domains such as robotics, autonomous driving, and virtual and augmented reality. In particular, when using LiDAR and IMU sensors as the inputs, most existing methods still use classical filter-based fusion methods to achieve this task. In this work, we propose DeepLIO, a modular, end-to-end learning-based fusion framework for odometry estimation using LiDAR and IMU sensors. For this task, our network learns an appropriate fusion function by considering different modalities of it

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27

Aggrey Shitsukane, Calvins Otieno, James Obuhuma, Lawrence Mukhongo, and Gideon Wandabwa. "Enhanced Perception and Control in Autonomous Robot Using Proximity-Based Fuzzy Logic Sensor Fusion." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 3837–48. https://doi.org/10.32628/cseit25112864.

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Reliable navigation in unknown environments is a fundamental challenge in autonomous robotics. This paper presents an optimized sensor fusion framework for nonholonomic mobile robots operating without prior maps. We integrate multi-directional proximity sensors emulating ultrasonic and IR systems via a fuzzy logic-based fusion engine that interprets uncertain, overlapping sensory inputs in real time. The system leverages low level proximity data and converts it into navigation commands by dynamically adjusting input weighting based on environmental complexity. The architecture is implemented i

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Adetunla, Adedotun O., Olanrewaju Kolade, Adeyinka M. Adeoye, and Saheed Akande. "Development of a Prototype Sensory Device as a Substitute for Single Sided Deaf People in Developing Nations." Journal Européen des Systèmes Automatisés 55, no. 6 (2022): 765–69. http://dx.doi.org/10.18280/jesa.550608.

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Hearing loss is the inability to hear sounds ranging from 20 decibels or more in one or both ears. It can affect one or both ears and leads to difficulty in hearing speech or sounds in general. Single-sided deafness or unilateral hearing loss is a very widespread disability. However, most people only see hearing loss as being a binary problem assuming that you either have perfect hearing in both ears or are completely deaf in both ears, and dismiss the other types of hearing loss. Sensory substitution involves remapping the information gathered by one sensory receptor to another. Sensory recep

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Appelbaum, Lawrence G., David V. Smith, Carsten N. Boehler, Wen D. Chen, and Marty G. Woldorff. "Rapid Modulation of Sensory Processing Induced by Stimulus Conflict." Journal of Cognitive Neuroscience 23, no. 9 (2011): 2620–28. http://dx.doi.org/10.1162/jocn.2010.21575.

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Humans are constantly confronted with environmental stimuli that conflict with task goals and can interfere with successful behavior. Prevailing theories propose the existence of cognitive control mechanisms that can suppress the processing of conflicting input and enhance that of the relevant input. However, the temporal cascade of brain processes invoked in response to conflicting stimuli remains poorly understood. By examining evoked electrical brain responses in a novel, hemifield-specific, visual-flanker task, we demonstrate that task-irrelevant conflicting stimulus input is quickly detec

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Ludueña, Guillermo A., and Claudius Gros. "A Self-Organized Neural Comparator." Neural Computation 25, no. 4 (2013): 1006–28. http://dx.doi.org/10.1162/neco_a_00424.

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Learning algorithms need generally the ability to compare several streams of information. Neural learning architectures hence need a unit, a comparator, able to compare several inputs encoding either internal or external information, for instance, predictions and sensory readings. Without the possibility of comparing the values of predictions to actual sensory inputs, reward evaluation and supervised learning would not be possible. Comparators are usually not implemented explicitly. Necessary comparisons are commonly performed by directly comparing the respective activities one-to-one. This im

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31

Fitzgerald, Maria. "Patrick David Wall. 5 April 1925—8 August 2001." Biographical Memoirs of Fellows of the Royal Society 72 (December 2021): 371–88. http://dx.doi.org/10.1098/rsbm.2021.0014.

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Patrick (Pat) Wall was a neurophysiologist and true pioneer in the science of pain. He discovered that the sensory information arising from receptors in our body, such as those for touch and heat, could be modified, or ‘gated’, in the spinal cord by other sensory inputs and also by information descending from the brain; this meant, as is now well recognized, that the final sensory experience is not necessarily predictable from the original pain-eliciting sensory input. He used this to explain the poor relationship between injury and pain, and to illustrate the fallacy of judging what someone ‘

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32

Antón-Bolaños, Noelia, Alejandro Sempere-Ferràndez, Teresa Guillamón-Vivancos, et al. "Prenatal activity from thalamic neurons governs the emergence of functional cortical maps in mice." Science 364, no. 6444 (2019): 987–90. http://dx.doi.org/10.1126/science.aav7617.

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The mammalian brain’s somatosensory cortex is a topographic map of the body’s sensory experience. In mice, cortical barrels reflect whisker input. We asked whether these cortical structures require sensory input to develop or are driven by intrinsic activity. Thalamocortical columns, connecting the thalamus to the cortex, emerge before sensory input and concur with calcium waves in the embryonic thalamus. We show that the columnar organization of the thalamocortical somatotopic map exists in the mouse embryo before sensory input, thus linking spontaneous embryonic thalamic activity to somatose

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Porr, Bernd, and Paul Miller. "Forward propagation closed loop learning." Adaptive Behavior 28, no. 3 (2019): 181–94. http://dx.doi.org/10.1177/1059712319851070.

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For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to cha

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Sparks, Daniel W., and C. Andrew Chapman. "Heterosynaptic modulation of evoked synaptic potentials in layer II of the entorhinal cortex by activation of the parasubiculum." Journal of Neurophysiology 116, no. 2 (2016): 658–70. http://dx.doi.org/10.1152/jn.00095.2016.

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The superficial layers of the entorhinal cortex receive sensory and associational cortical inputs and provide the hippocampus with the majority of its cortical sensory input. The parasubiculum, which receives input from multiple hippocampal subfields, sends its single major output projection to layer II of the entorhinal cortex, suggesting that it may modulate processing of synaptic inputs to the entorhinal cortex. Indeed, stimulation of the parasubiculum can enhance entorhinal responses to synaptic input from the piriform cortex in vivo. Theta EEG activity contributes to spatial and mnemonic

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TURKEWITZ, GERALD, and PATRICIA A. KENNY. "The Role of Developmental Limitations of Sensory Input on Sensory/Perceptual Organization." Journal of Developmental & Behavioral Pediatrics 6, no. 5 (1985): 302???306. http://dx.doi.org/10.1097/00004703-198510000-00014.

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Liu, Yuqi. "The Rise of Sensory Fidget Toys: Origins, Psychological Principles, and Their Role in Stress Relief and Mental Health." SHS Web of Conferences 213 (2025): 02027. https://doi.org/10.1051/shsconf/202521302027.

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Sensory stress relief toys’ history, psychological principles, and benefits for stress reduction and mental health are examined in this article. The article begins by explaining the sensory system and sensory processing disorders (SPD), focusing on how sensory toys regulate behavior in special needs groups like ADHD and autism. Ancient Greek prayer beads, Chinese workout balls, and modern fingertip tops were studied as sensory stress alleviation toys. The psychological basis of sensory toys, tactile sensory input in emotion regulation and sensory integration, is discussed last. It highlights t

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Tamarkin, D. A., and R. B. Levine. "Synaptic interactions between a muscle-associated proprioceptor and body wall muscle motor neurons in larval and Adult manduca sexta." Journal of Neurophysiology 76, no. 3 (1996): 1597–610. http://dx.doi.org/10.1152/jn.1996.76.3.1597.

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1. Synaptic remodeling of a proprioceptive circuit during metamorphosis of the insect, Manduca sexta, is described. The stretch receptor organ is a muscle-associated proprioceptor that is innervated by a single sensory neuron. It inserts dorsolaterally in the abdomen in parallel with the intersegmental muscles of each abdominal segment. The synaptic input from the stretch receptor sensory neuron to select abdominal internal (intersegmental) and external muscle motor neurons was characterized in both the larva and adult. 2. In the larva, the sensory neuron provides excitatory synaptic input to

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Suranthiran, Sugathevan, and Suhada Jayasuriya. "Signal Conditioning With Memory-Less Nonlinear Sensors." Journal of Dynamic Systems, Measurement, and Control 126, no. 2 (2004): 284–93. http://dx.doi.org/10.1115/1.1766030.

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Proposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored

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39

Berberian, Nareg, Matt Ross, and Sylvain Chartier. "Embodied working memory during ongoing input streams." PLOS ONE 16, no. 1 (2021): e0244822. http://dx.doi.org/10.1371/journal.pone.0244822.

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Sensory stimuli endow animals with the ability to generate an internal representation. This representation can be maintained for a certain duration in the absence of previously elicited inputs. The reliance on an internal representation rather than purely on the basis of external stimuli is a hallmark feature of higher-order functions such as working memory. Patterns of neural activity produced in response to sensory inputs can continue long after the disappearance of previous inputs. Experimental and theoretical studies have largely invested in understanding how animals faithfully maintain se

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Ghose, Geoffrey M. "Attentional Modulation of Visual Responses by Flexible Input Gain." Journal of Neurophysiology 101, no. 4 (2009): 2089–106. http://dx.doi.org/10.1152/jn.90654.2008.

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Although it is clear that sensory responses in the cortex can be strongly modulated by stimuli outside of classical receptive fields as well as by extraretinal signals such as attention and anticipation, the exact rules governing the neuronal integration of sensory and behavioral signals remain unclear. For example, most experiments studying sensory interactions have not explored attention, while most studies of attention have relied on the responses to relatively limited sets of stimuli. However, a recent study of V4 responses, in which location, orientation, and spatial attention were system

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Tampuu, Ardi, Romet Aidla, Jan Aare van Gent, and Tambet Matiisen. "LiDAR-as-Camera for End-to-End Driving." Sensors 23, no. 5 (2023): 2845. http://dx.doi.org/10.3390/s23052845.

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The core task of any autonomous driving system is to transform sensory inputs into driving commands. In end-to-end driving, this is achieved via a neural network, with one or multiple cameras as the most commonly used input and low-level driving commands, e.g., steering angle, as output. However, simulation studies have shown that depth-sensing can make the end-to-end driving task easier. On a real car, combining depth and visual information can be challenging due to the difficulty of obtaining good spatial and temporal alignment of the sensors. To alleviate alignment problems, Ouster LiDARs c

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Lin, Jiarui. "Sensory Inputs Guiding Cognitive Behaviors and Decision Making." Highlights in Science, Engineering and Technology 74 (December 29, 2023): 1399–404. http://dx.doi.org/10.54097/gew7ng02.

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Understanding human behaviors and higher cognitive functioning has long been an ultimate goal for psychologists and neuroscientists. Sensory inputs are pivotal in shaping the intricate landscape of complex behaviors and decision-making processes in both humans and animals. The distinct pathways through which the sensory information is perceived from the environment are referred as sensory modalities. Each sensory modality corresponds to a specific type of sensory input or sense, such as vision, hearing, or tactile, enabling us to gather information about the world around us. Sensory inputs int

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Carter, D. A., H. Guo, A. A. Connelly, et al. "Viscerosensory input drives angiotensin II type 1A receptor-expressing neurons in the solitary tract nucleus." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 314, no. 2 (2018): R282—R293. http://dx.doi.org/10.1152/ajpregu.00290.2017.

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Homeostatic regulation of visceral organ function requires integrated processing of neural and neurohormonal sensory signals. The nucleus of the solitary tract (NTS) is the primary sensory nucleus for cranial visceral sensory afferents. Angiotensin II (ANG II) is known to modulate peripheral visceral reflexes, in part, by activating ANG II type 1A receptors (AT1AR) in the NTS. AT1AR-expressing NTS neurons occur throughout the NTS with a defined subnuclear distribution, and most of these neurons are depolarized by ANG II. In this study we determined whether AT1AR-expressing NTS neurons receive

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Morita, Takakuni, Takeshi Kikuchi, and Chiharu Ishii. "Development of Sensory Feedback Device for Myoelectric Prosthetic Hand to Provide Hardness of Objects to Users." Journal of Robotics and Mechatronics 28, no. 3 (2016): 361–70. http://dx.doi.org/10.20965/jrm.2016.p0361.

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[abstFig src='/00280003/12.jpg' width=""300"" text='Sensory feedback device for myoelectric hand' ] In this paper, a sensory feedback device was developed to improve the operability of a myoelectric prosthetic hand. The device is worn on the user’s upper arm and provides object hardness feedback to by winding a belt onto the upper arm using a motor. When the finger of the myoelectric prosthetic hand grabs the object, the contact force on the object is detected by a pressure sensor attached to a finger cushion on the myoelectric prosthetic hand. Based on the sensor’s input, the hardness of the

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Anastasio, Thomas J., Paul E. Patton, and Kamel Belkacem-Boussaid. "Using Bayes' Rule to Model Multisensory Enhancement in the Superior Colliculus." Neural Computation 12, no. 5 (2000): 1165–87. http://dx.doi.org/10.1162/089976600300015547.

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The deep layers of the superior colliculus (SC) integrate multisensory inputs and initiate an orienting response toward the source of stimulation (target). Multisensory enhancement, which occurs in the deep SC, is the augmentation of a neural response to sensory input of one modality by input of another modality. Multisensory enhancement appears to underlie the behavioral observation that an animal is more likely to orient toward weak stimuli if a stimulus of one modality is paired with a stimulus of another modality. Yet not all deep SC neurons are multisensory. Those that are exhibit the pro

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Jalil Piran, Mohammad, Amjad Ali, and Doug Young Suh. "Fuzzy-Based Sensor Fusion for Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/439272.

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In wireless sensor networks, sensor fusion is employed to integrate the acquired data from diverse sensors to provide a unified interpretation. The best and most salient advantage of sensor fusion is to obtain high-level information in both statistical and definitive aspects, which cannot be attained by a single sensor. In this paper, we propose a novel sensor fusion technique based on fuzzy theory for our earlier proposed Cognitive Radio-based Vehicular Ad Hoc and Sensor Networks (CR-VASNET). In the proposed technique, we considered four input sensor readings (antecedents) and one output (con

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Gudžiūnas, Vaidotas, Aurelijus Domeika, Berta Ylaitė, Donatas Daublys, and Linas Puodžiukynas. "Quantitative Assessment of the Effect of Instability Levels on Reactive Human Postural Control Using Different Sensory Organization Strategies." Applied Sciences 14, no. 22 (2024): 10311. http://dx.doi.org/10.3390/app142210311.

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Reactive postural control (RPC), essential for maintaining balance during daily activities, relies on a complex sensory system integrating visual, vestibular, and proprioceptive inputs. Deficits in RPC can lead to falls, especially in unpredictable environments where sensory inputs are challenged. Traditional rehabilitation often fails to prepare patients adequately for real-world conditions. This study aims to explore the effects of varying instability levels (ILs) and sensory integration strategies (SIS) on RPC by evaluating balance disturbances without applying additional external force. Tw

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Dreher, B., A. Michalski, B. G. Cleland, and W. Burke. "Effects of selective pressure block of Y-type optic nerve fibers on the receptive-field properties of neurons in area 18 of the visual cortex of the cat." Visual Neuroscience 9, no. 1 (1992): 65–78. http://dx.doi.org/10.1017/s0952523800006374.

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AbstractRecordings were made from single neurons in area 18 of anesthetized cats (N2O/O2 mixture supplemented by continuous intravenous infusion of barbiturate) in which one optic nerve had been pressure blocked to selectively block conduction in the largest (Y-type) fibers. Cortical neurons were stimulated visually via the normal eye or via the eye with the pressure-blocked optic nerve (“Y-blocked eye”). Several properties of the receptive fields such as their spatial organization (S or C cells), orientation tuning, and the presence and strength of end-zone inhibition appear to be unaffected

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Freeman, Oliver J., Mathew H. Evans, Garth J. S. Cooper, Rasmus S. Petersen, and Natalie J. Gardiner. "Thalamic amplification of sensory input in experimental diabetes." European Journal of Neuroscience 44, no. 1 (2016): 1779–86. http://dx.doi.org/10.1111/ejn.13267.

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Luczak, A., P. Bartho, and K. D. Harris. "Gating of Sensory Input by Spontaneous Cortical Activity." Journal of Neuroscience 33, no. 4 (2013): 1684–95. http://dx.doi.org/10.1523/jneurosci.2928-12.2013.

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