Relevant bibliographies by topics / Inhibitory Neurons

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Inhibitory Neurons'

Author: Grafiati
Published: 6 September 2023
Last updated: 26 July 2025

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Journal articles on the topic "Inhibitory Neurons"

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Pesavento, Michael J., Cynthia D. Rittenhouse, and David J. Pinto. "Response Sensitivity of Barrel Neuron Subpopulations to Simulated Thalamic Input." Journal of Neurophysiology 103, no. 6 (2010): 3001–16. http://dx.doi.org/10.1152/jn.01053.2009.

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Our goal is to examine the relationship between neuron- and network-level processing in the context of a well-studied cortical function, the processing of thalamic input by whisker-barrel circuits in rodent neocortex. Here we focus on neuron-level processing and investigate the responses of excitatory and inhibitory barrel neurons to simulated thalamic inputs applied using the dynamic clamp method in brain slices. Simulated inputs are modeled after real thalamic inputs recorded in vivo in response to brief whisker deflections. Our results suggest that inhibitory neurons require more input to r
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Weissenberger, Felix, Marcelo Matheus Gauy, Xun Zou, and Angelika Steger. "Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction." Neural Computation 31, no. 11 (2019): 2252–65. http://dx.doi.org/10.1162/neco_a_01230.

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In computational neural network models, neurons are usually allowed to excite some and inhibit other neurons, depending on the weight of their synaptic connections. The traditional way to transform such networks into networks that obey Dale's law (i.e., a neuron can either excite or inhibit) is to accompany each excitatory neuron with an inhibitory one through which inhibitory signals are mediated. However, this requires an equal number of excitatory and inhibitory neurons, whereas a realistic number of inhibitory neurons is much smaller. In this letter, we propose a model of nonlinear interac
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Nykamp, Duane Q., and Daniel Tranchina. "A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses." Neural Computation 13, no. 3 (2001): 511–46. http://dx.doi.org/10.1162/089976601300014448.

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A previously developed method for efficiently simulating complex networks of integrate-and-fire neurons was specialized to the case in which the neurons have fast unitary postsynaptic conductances. However, inhibitory synaptic conductances are often slower than excitatory ones for cortical neurons, and this difference can have a profound effect on network dynamics that cannot be captured with neurons that have only fast synapses. We thus extend the model to include slow inhibitory synapses. In this model, neurons are grouped into large populations of similar neurons. For each population, we ca
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Hu, Xiaolin, and Zhigang Zeng. "Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding." Neural Computation 34, no. 1 (2022): 104–37. http://dx.doi.org/10.1162/neco_a_01453.

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Abstract The functional properties of neurons in the primary visual cortex (V1) are thought to be closely related to the structural properties of this network, but the specific relationships remain unclear. Previous theoretical studies have suggested that sparse coding, an energy-efficient coding method, might underlie the orientation selectivity of V1 neurons. We thus aimed to delineate how the neurons are wired to produce this feature. We constructed a model and endowed it with a simple Hebbian learning rule to encode images of natural scenes. The excitatory neurons fired sparsely in respons
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Druga, Rastislav. "Neocortical Inhibitory System." Folia Biologica 55, no. 6 (2009): 201–17. http://dx.doi.org/10.14712/fb2009055060201.

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The neocortex contains two neuron types, excitatory (glutamatergic) pyramidal cells and inhibitory nonpyramidal (GABAergic) cells. GABAergic, inhibitory interneurons are morphologically distinct from excitatory pyramidal cells and account for 20–25 % of all neocortical neurons. Recent studies discovered that besides morphological features, inhibitory interneurons are molecularly and physiologically heterogenous and differ significantly in arrangement and terminations of their axonal endings. In neocortical interneurons, GABA is also co-localized with calcium-binding proteins (parvalbumin, calb
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Liu, Ming-Zhe, Xiao-Jun Chen, Tong-Yu Liang, et al. "Synaptic control of spinal GRPR+neurons by local and long-range inhibitory inputs." Proceedings of the National Academy of Sciences 116, no. 52 (2019): 27011–17. http://dx.doi.org/10.1073/pnas.1905658116.

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Spinal gastrin-releasing peptide receptor-expressing (GRPR+) neurons play an essential role in itch signal processing. However, the circuit mechanisms underlying the modulation of spinal GRPR+neurons by direct local and long-range inhibitory inputs remain elusive. Using viral tracing and electrophysiological approaches, we dissected the neural circuits underlying the inhibitory control of spinal GRPR+neurons. We found that spinal galanin+GABAergic neurons form inhibitory synapses with GRPR+neurons in the spinal cord and play an important role in gating the GRPR+neuron-dependent itch signaling
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Tamura, Hiroshi, Hidekazu Kaneko, Keisuke Kawasaki, and Ichiro Fujita. "Presumed Inhibitory Neurons in the Macaque Inferior Temporal Cortex: Visual Response Properties and Functional Interactions With Adjacent Neurons." Journal of Neurophysiology 91, no. 6 (2004): 2782–96. http://dx.doi.org/10.1152/jn.01267.2003.

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Neurons in area TE of the monkey inferior temporal cortex respond selectively to images of particular objects or their characteristic visual features. The mechanism of generation of the stimulus selectivity, however, is largely unknown. This study addresses the role of inhibitory TE neurons in this process by examining their visual response properties and interactions with adjacent target neurons. We applied cross-correlation analysis to spike trains simultaneously recorded from pairs of adjacent neurons in anesthetized macaques. Neurons whose activity preceded a decrease in activity from thei
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Shosaku, A. "Cross-correlation analysis of a recurrent inhibitory circuit in the rat thalamus." Journal of Neurophysiology 55, no. 5 (1986): 1030–43. http://dx.doi.org/10.1152/jn.1986.55.5.1030.

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Spontaneous activities of vibrissa-responding neurons in the rat ventrobasal complex (VB) and somatosensory part of the thalamic reticular nucleus (S-TR) were simultaneously recorded and subjected to cross-correlation analysis to investigate the functional organization of recurrent inhibitory action of the S-TR on VB neurons. Excitatory and/or inhibitory interactions were found between approximately 75% (25/34) of the pairs of S-TR and VB neurons with receptive fields (RFs) on the same vibrissa. In contrast, there was no significant interaction between 54 pairs of neurons having RFs on differe
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Lu, Yun-Fei, Yykio Hattori, Akiyoshi Moriwaki, Yasushi Hayashi, and Yasuo Hori. "Inhibition of neurons in the rat medial amygdaloid nucleus in vitro by somatostatin." Canadian Journal of Physiology and Pharmacology 73, no. 5 (1995): 670–74. http://dx.doi.org/10.1139/y95-086.

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Effects of somatostatin (SRIF) on neurons in the medial amygdaloid nucleus were investigated in rat brain slice preparations, using extracellular recordings. Following bath application of SRIF at 10−7–10−6 M, 63 of 81 (78%) medial amygdala neurons showed an inhibitory response. The inhibitory effect of SRIF was dose dependent, and the threshold concentration was approximately 10−9 M. The inhibitory response to SRIF persisted during synaptic blockade in two-thirds of neurons tested. The inhibitory effect of SRIF was reduced by picrotoxin, a GABAA receptor antagonist, in one-third of neurons. Th
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Unda, Brianna K., Vickie Kwan, and Karun K. Singh. "Neuregulin-1 Regulates Cortical Inhibitory Neuron Dendrite and Synapse Growth through DISC1." Neural Plasticity 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/7694385.

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Cortical inhibitory neurons play crucial roles in regulating excitatory synaptic networks and cognitive function and aberrant development of these cells have been linked to neurodevelopmental disorders. The secreted neurotrophic factor Neuregulin-1 (NRG1) and its receptor ErbB4 are established regulators of inhibitory neuron connectivity, but the developmental signalling mechanisms regulating this process remain poorly understood. Here, we provide evidence that NRG1-ErbB4 signalling functions through the multifunctional scaffold protein, Disrupted in Schizophrenia 1 (DISC1), to regulate the de
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Dissertations / Theses on the topic "Inhibitory Neurons"

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Husson, Zoé. "Glycinergic neurons and inhibitory transmission in the cerebellar nuclei." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066279/document.

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Le cervelet, composé d'un cortex et de noyaux, est responsable du contrôle moteur fin des mouvements et de la posture. En combinant une approche génétique (basée sur l'utilisation de lignées de souris transgéniques) avec des traçages anatomiques, des marquages immunohistochimiques et des expériences d'électrophysiologie et d'optogénétique, nous établissons les caractères distinctifs des neurones inhibiteurs des noyaux cérébelleux et en détaillons la connectivité ainsi que les fonctions dans le circuit cérébelleux. Les neurones inhibiteurs glycinergiques des noyaux profonds constituent une popu
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Li, Yan. "Inhibitory synpatic transmission in striatal neurons after transient cerebral ischemia." Connect to resource online, 2009. http://hdl.handle.net/1805/2021.

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Thesis (Ph.D.)--Indiana University, 2009.<br>Title from screen (viewed on December 1, 2009). Department of Anatomy and Cell Biology, Indiana University-Purdue University Indianapolis (IUPUI). Advisor(s): Zao C. Xu, Feng C. Zhou, Charles R. Yang, Theodore R. Cummins. Includes vitae. Includes bibliographical references (leaves 115-135).
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Bampasakis, Dimitris. "Inhibitory synaptic plasticity and gain modulation in cerebellar nucleus neurons." Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17179.

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Neurons can encode information using the rate of their action potentials, making the relation between input rate and output rate a prominent feature of neuronal information processing. This relation, known as I{O function, can rapidly change in response to various factors or neuronal processes. Most noticeably, a neuron can undergo a multiplicative operation, resulting in a change of the slope of its I{O curve, also know as gain change. Gain changes represent multiplicative operations, and they are wide- spread. They have been found to play an important role in the encoding of spatial location
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Wang, Hui. "Structural and functional studies of the neuronal growth inhibitory factor, human metallothionein-3." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/HKUTO/record/B39559014.

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Wang, Hui, and 王暉. "Structural and functional studies of the neuronal growth inhibitory factor, human metallothionein-3." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B39559014.

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Mardinly, Alan Robert. "Regulation of Synapse Development by Activity Dependent Transcription in Inhibitory Neurons." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10739.

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Neuronal activity and subsequent calcium influx activates a signaling cascade that causes transcription factors in the nucleus to rapidly induce an early-response program of gene expression. This early-response program is composed of transcriptional regulators that in turn induce transcription of late-response genes, which are enriched for regulators of synaptic development and plasticity that act locally at the synapse.
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Chik, Tai-wai David. "Global coherent activities in inhibitory neural systems Chik Tai Wai David." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31040408.

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Lofredi, Roxanne [Verfasser]. "Characterization of inhibitory and projection specific neurons of the presubiculum / Roxanne Lofredi." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1126505005/34.

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Pangalos, Maria. "Analysis of hippocampal inhibitory and excitatory neurons during sharp wave-associated ripple." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17590.

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Im Hippokampus gibt es verschiedene Netzwerkoszillationen mit unterschiedlichen Frequenzen. Ein Typ dieser Oszillationen sind die ”Ripple” mit einer Frequenz von etwa 200 Hz, welche in Komplexen mit einer Aktivitätswelle, der ”Sharp wave” auftreten. Sharp wave-ripple Komplexe (SWR) werden mit der Konsolidierung von Gedächtnis in Zusammenhang gebracht. Das Netzwerk, das den SWR unterliegt, hat bestimmte Mechanismen, von denen einige in der vorliegenden Arbeit näher untersucht werden. Im ersten Teil wird untersucht, wie ein hemmendes Interneuron in der hippokampalen Region CA1, das ”oriens-lacu
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Chik, Tai-wai David, and 戚大衛. "Global coherent activities in inhibitory neural systems: Chik Tai Wai David." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31040408.

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Books on the topic "Inhibitory Neurons"

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Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Elsevier, 1996.

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Pallas, Sarah L. Developmental Plasticity of Inhibitory Circuitry. Springer, 2014.

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Saraga, Fernanda. Use of compartmental models to predict physiological properties of hippocampal inhibitory neurons. 2006.

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GABA(A) receptors that mediate a tonic inhibitory current in hippocampal neurons: Modulation by antagonists and anti-convulsants. National Library of Canada, 2002.

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Dickenson, Tony. A new theory of pain. Edited by Paul Farquhar-Smith, Pierre Beaulieu, and Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0007.

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Of all the seminal papers on pain, the one described in this chapter must be one of the most influential. It has been cited over 11,000 times. This paper proposed the theory that the transmission of pain from peripheral fibres through the spinal cord to the brain was not a passive fixed process but was subject to modulation and alteration. It also suggested that there was interplay between different afferent fibres, spinal excitatory neurons, and inhibitory spinal neuron and that the brain could exert influence on the spinal cord. Most of modern pain science and clinical management is based on
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Levine, Michael S., Elizabeth A. Wang, Jane Y. Chen, Carlos Cepeda, and Véronique M. André. Altered Neuronal Circuitry. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199929146.003.0010.

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In mouse models of Huntington’s disease (HD), synaptic alterations in the cerebral cortex and striatum are present before overt behavioral symptoms and cell death. Similarly, in HD patients, it is now widely accepted that early deficits can occur in the absence of neural atrophy or overt motor symptoms. In addition, hyperkinetic movements seen in early stages are followed by hypokinesis in the late stages, indicating that different processes may be affected. In mouse models, such behavioral alterations parallel complex biphasic changes in glutamate-mediated excitatory, γ‎-aminobutyric acid (GA
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Mather, George. Two-Stroke Apparent Motion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0073.

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“Two-stroke” apparent motion is a powerful illusion of directional motion generated by alternating just two animation frames, which occurs when a brief blank interframe interval is inserted at alternate frame transitions. This chapter discusses this illusion, which can be explained in terms of the receptive field properties of motion-sensing neurons in the human visual system. The temporal response of these neurons contains both an excitatory phase and an inhibitory phase; when the timing of the interframe interval just matches the switch in response sign, the illusion occurs. Concepts covered
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Schaible, Hans-Georg, and Rainer H. Straub. Pain neurophysiology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0059.

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Physiological pain is evoked by intense (noxious) stimuli acting on healthy tissue functioning as a warning signal to avoid damage of the tissue. In contrast, pathophysiological pain is present in the course of disease, and it is often elicited by low-intensity stimulation or occurs even as resting pain. Causes of pathophysiological pain are either inflammation or injury causing pathophysiological nociceptive pain or damage to nerve cells evoking neuropathic pain. The major peripheral neuronal mechanism of pathophysiological nociceptive pain is the sensitization of peripheral nociceptors for m
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Stafstrom, Carl E. Disorders Caused by Botulinum Toxin and Tetanus Toxin. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0156.

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Anaerobic organisms of the genus Clostridia (C) can cause significant human disease. Exotoxins secreted by C botulinum and C tetani cause botulism and tetanus, respectively (summarized in Table 156.1). Botulinum neurotoxin causes neuromuscular blockade by interfering with vesicular acetylcholine release, leading to cholinergic blockade at the neuromuscular junctions of skeletal muscle, and consequently, symmetric flaccid paralysis. Tetanus toxin prevents release of inhibitory neurotransmitters at central synapses, leading to overactivity of motor neurons and muscle rigidity and spasms. This ch
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Sandkühler, Jürgen. Making the link from “central sensitization” to clinical pain. Edited by Paul Farquhar-Smith, Pierre Beaulieu, and Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0047.

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The landmark paper discussed in this chapter is ‘Central sensitization: Implications for the diagnosis and treatment of pain’, published by C. J. Woolf in 2011. The phrase ‘central sensitization’ is often used as an umbrella term for all kinds of central nervous system (CNS) mechanisms contributing to pain hypersensitivity. The International Association for the Study of Pain (IASP) defines ‘central sensitization’ as the ‘increased responsiveness of nociceptive neurons in the CNS’. In the CNS, highly distinct mechanisms contribute to pain hypersensitivity depending upon pain aetiology and disea
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Book chapters on the topic "Inhibitory Neurons"

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Kawaguchi, Yasuo. "Local Circuit Neurons in the Frontal Cortico-Striatal System." In Excitatory-Inhibitory Balance. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0039-1_9.

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Ito, Masao. "Historical Overview: The Search for inhibitory neurons and their function." In Excitatory-Inhibitory Balance. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0039-1_1.

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Trussell, Laurence O. "Inhibitory Neurons in the Auditory Brainstem." In Synaptic Mechanisms in the Auditory System. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9517-9_7.

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Theile, Jonathan W., Rueben A. Gonzales, and Richard A. Morrisett. "Ethanol Modulation of GABAergic Inhibition in Midbrain Dopamine Neurons: Implications for the Development of Alcohol-Seeking Behaviors." In Inhibitory Synaptic Plasticity. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6978-1_6.

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Golomb, David, and John Rinzel. "Synchronization among heterogeneous inhibitory RTN neurons globally coupled." In Computation in Neurons and Neural Systems. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_5.

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Lopez-Gutierrez, Javier, and B. Mario Cervantes. "Achalasia." In Mastering Endo-Laparoscopic and Thoracoscopic Surgery. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3755-2_31.

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AbstractAchalasia is the result of a progressive degeneration process of the ganglion cells of the myenteric plexus, located in the esophageal wall. The disorder motility that characterizes achalasia appears to result primarily from the loss of inhibitory neurons within the wall of the esophagus itself. This loss of the inhibitory innervation in the LOS causes the basal sphincter pressure to rise and renders the sphincter muscle incapable of normal relaxation. The loss of inhibitory neurons from the smooth muscle portion of the esophageal body results in aperistalais [1]. The manifestations of
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Lambert, Nevin A., and Neil L. Harrison. "GABAB Receptors on Inhibitory Neurons in the Hippocampus." In Presynaptic Receptors in the Mammalian Brain. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6825-0_9.

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Bacigalupo, Juan, Bernardo Morales, Pedro Labarca, Gonzalo Ugarte, and Rodolfo Madrid. "Inhibitory Responses to Odorants in Vertebrate Olfactory Neurons." In From Ion Channels to Cell-to-Cell Conversations. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-1795-9_16.

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Nicolaus, Jill M., and Philip S. Ulinski. "Inward Rectifying Conductances in Inhibitory Neurons of Turtle Visual Cortex." In Computation in Neurons and Neural Systems. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_15.

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Rathmayer, Werner. "Inhibition Through Neurons of the Common Inhibitory Type (CI-Neurons) in Crab Muscles." In Frontiers in Crustacean Neurobiology. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-5689-8_31.

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Conference papers on the topic "Inhibitory Neurons"

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Sturgill, Brandon S., Madison S. Jiang, Eleanor N. Jeakle, et al. "Antioxidant Coated Microelectrode Arrays: Effects on Putative Inhibitory and Excitatory Neurons." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10781940.

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Ziari, Mehrdad, William H. Steier, and Robert L. S. Devine. "Nonlinear Neurons Using the Fieldshielding Effect in Photorefractive CdTe." In Photorefractive Materials, Effects, and Devices II. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/pmed.1990.h3.

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A key element in the optical implementation of any neural network is the nonlinear neuron. The most common required feature of this device is a saturating response to an activation input. The activation input is the weighted sum of all the incident beams which are routed through an interconnection network to the neuron. We report on nonlinear neurons using the fieldshielding effect in photorefractive crystals which perform an incoherent addition of the incident intensities1,2. The device responds to CW or synchronously pulsed inputs in a variety of saturated, thresholded or bidirectional manne
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Rakymzhan, Adiya, and Alberto Vazquez. "The Contribution of Cortical Neuronal Populations to Resting-State Cerebrovascular Regulation Revealed by Two-Photon Microscopy Imaging." In Optics and the Brain. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/brain.2023.btu1b.2.

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We recorded calcium activity in excitatory neurons and inhibitory Parvalbumin neurons, while concurrently measuring vascular changes with two-photon imaging. We demonstrate that spontaneous vascular fluctuations are largely modulated by ongoing activity of Parvalbumin neurons.
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Liu, Zhiheng, and Xia Shi. "Modeling of Synchronous Behaviors of Excitatory and Inhibitory Neurons in Complex Neuronal Networks." In 2018 IEEE 4th International Conference on Computer and Communications (ICCC). IEEE, 2018. http://dx.doi.org/10.1109/compcomm.2018.8780741.

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Zhu, Guibo, Zhaoxiang Zhang, Xu-Yao Zhang, and Cheng-Lin Liu. "Diverse Neuron Type Selection for Convolutional Neural Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/498.

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The activation function for neurons is a prominent element in the deep learning architecture for obtaining high performance. Inspired by neuroscience findings, we introduce and define two types of neurons with different activation functions for artificial neural networks: excitatory and inhibitory neurons, which can be adaptively selected by self-learning. Based on the definition of neurons, in the paper we not only unify the mainstream activation functions, but also discuss the complementariness among these types of neurons. In addition, through the cooperation of excitatory and inhibitory ne
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Ioka, Eri, Yasuyuki Matusya, and Hiroyuki Kitajima. "Bifurcation in mutually coupled three neurons with inhibitory synapses." In 2011 European Conference on Circuit Theory and Design (ECCTD). IEEE, 2011. http://dx.doi.org/10.1109/ecctd.2011.6043617.

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Ullah, Ihsan, Sean Reilly, and Michael G. Madden. "Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413021.

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Wang, Xiaodan, Annie R. Bice, and Adam Q. Bauer. "Mapping Local and Global Interactions between Parvalbumin Inhibitory Neurons and Excitatory Neurons over the Cortex in Awake Mice." In Optics and the Brain. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/brain.2023.btu1b.4.

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We created a novel method for mapping the interactions between parvalbumin inhibitory interneurons (PV-INs) and excitatory neurons over the cortex in mice. Local and distant influences of PV-INs are region-specific and can span hemispheres.
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Wang, Xiaodan, Annie R. Bice, and Adam Q. Bauer. "Mapping Local and Global Interactions between Parvalbumin Inhibitory Neurons and Excitatory Neurons over the Cortex in Awake Mice." In Optics and the Brain. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/brain.2024.bm5c.2.

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We created a novel method for mapping the interactions between parvalbumin inhibitory interneurons (PV-INs) and excitatory neurons over the cortex in mice. Local and distant influences of PV-INs are region-specific and can span hemispheres.
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Tsuji, Shigeki, Tetsushi Ueta, Hiroshi Kawakami, and Kazuyuki Aihara. "Synchronization and Bifurcation Phenomena in Inhibitory Neurons with Gap-junction." In 2006 IEEE/NLM Life Science Systems and Applications Workshop. IEEE, 2006. http://dx.doi.org/10.1109/lssa.2006.250420.

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Reports on the topic "Inhibitory Neurons"

1

Johnson, Don H. Simulation of Excitatory/Inhibitory Interactions in Single Auditory Neurons. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada253614.

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2

Enderle, John D., and Edward J. Engelken. Simulation of Oculomotor Post-Inhibitory Rebound Burst Firing using a Hodgkin-Huxley Model of a Neuron. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada293821.

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3

Polt, Robin. Enzyme Inhibitors of Cell-Surface Carbohydrates: Insects as Model Systems for Neuronal Development and Repair Mechanisms. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397723.

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4

Polt, Robin. Enzyme Inhibitors of Cell-Surface Carbohydrates: Insects as Model Systems for Neuronal Development and Repair Mechanisms. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada382533.

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