Relevant bibliographies by topics / Neurons

Contents

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

Academic literature on the topic 'Neurons'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Neurons"

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Holmstrom, Lars, Patrick D. Roberts, and Christine V. Portfors. "Responses to Social Vocalizations in the Inferior Colliculus of the Mustached Bat Are Influenced by Secondary Tuning Curves." Journal of Neurophysiology 98, no. 6 (December 2007): 3461–72. http://dx.doi.org/10.1152/jn.00638.2007.

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Neurons in the inferior colliculus (IC) of the mustached bat integrate input from multiple frequency bands in a complex fashion. These neurons are important for encoding the bat's echolocation and social vocalizations. The purpose of this study was to quantify the contribution of complex frequency interactions on the responses of IC neurons to social vocalizations. Neural responses to single tones, two-tone pairs, and social vocalizations were recorded in the IC of the mustached bat. Three types of data driven stimulus-response models were designed for each neuron from single tone and tone pai
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Kirch, Christoph, and Leonardo L. Gollo. "Spatially resolved dendritic integration: towards a functional classification of neurons." PeerJ 8 (November 24, 2020): e10250. http://dx.doi.org/10.7717/peerj.10250.

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The vast tree-like dendritic structure of neurons allows them to receive and integrate input from many neurons. A wide variety of neuronal morphologies exist, however, their role in dendritic integration, and how it shapes the response of the neuron, is not yet fully understood. Here, we study the evolution and interactions of dendritic spikes in excitable neurons with complex real branch structures. We focus on dozens of digitally reconstructed illustrative neurons from the online repository NeuroMorpho.org, which contains over 130,000 neurons. Yet, our methods can be promptly extended to any
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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 (June 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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Cardi, P., and F. Nagy. "A rhythmic modulatory gating system in the stomatogastric nervous system of Homarus gammarus. III. Rhythmic control of the pyloric CPG." Journal of Neurophysiology 71, no. 6 (June 1, 1994): 2503–16. http://dx.doi.org/10.1152/jn.1994.71.6.2503.

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1. Two modulatory neurons, P and commissural pyloric (CP), known to be involved in the long-term maintenance of pyloric central pattern generator operation in the rock lobster Homarus gammarus, are members of the commissural pyloric oscillator (CPO), a higher-order oscillator influencing the pyloric network. 2. The CP neuron was endogenously oscillating in approximately 30% of the preparations in which its cell body was impaled. Rhythmic inhibitory feedback from the pyloric pacemaker anterior burster (AB) neuron stabilized the CP neuron's endogenous rhythm. 3. The organization of the CPO is de
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Stiefel, Klaus M., and G. Bard Ermentrout. "Neurons as oscillators." Journal of Neurophysiology 116, no. 6 (December 1, 2016): 2950–60. http://dx.doi.org/10.1152/jn.00525.2015.

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Regularly spiking neurons can be described as oscillators. In this article we review some of the insights gained from this conceptualization and their relevance for systems neuroscience. First, we explain how a regularly spiking neuron can be viewed as an oscillator and how the phase-response curve (PRC) describes the response of the neuron's spike times to small perturbations. We then discuss the meaning of the PRC for a single neuron's spiking behavior and review the PRCs measured from a variety of neurons in a range of spiking regimes. Next, we show how the PRC can be related to a number of
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Ruff, Douglas A., and Richard T. Born. "Feature attention for binocular disparity in primate area MT depends on tuning strength." Journal of Neurophysiology 113, no. 5 (March 1, 2015): 1545–55. http://dx.doi.org/10.1152/jn.00772.2014.

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Attending to a stimulus modulates the responses of sensory neurons that represent features of that stimulus, a phenomenon named “feature attention.” For example, attending to a stimulus containing upward motion enhances the responses of upward-preferring direction-selective neurons in the middle temporal area (MT) and suppresses the responses of downward-preferring neurons, even when the attended stimulus is outside of the spatial receptive fields of the recorded neurons (Treue S, Martinez-Trujillo JC. Nature 399: 575–579, 1999). This modulation renders the representation of sensory informatio
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JOHNSTON, DAVID, SIMON PETER MEKHAIL, MARY ANN GO, and VINCENT R. DARIA. "MODELING NEURONAL RESPONSE TO SIMULTANEOUS AND SEQUENTIAL MULTI-SITE SYNAPTIC STIMULATION." International Journal of Modern Physics: Conference Series 17 (January 2012): 1–8. http://dx.doi.org/10.1142/s2010194512007878.

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The flow of information in the brain theorizes that each neuron in a network receives synaptic inputs and sends off its processed signals to neighboring neurons. Here, we model these synaptic inputs to understand how each neuron processes these inputs and transmits neurotransmitters to neighboring neurons. We use the NEURON simulation package to stimulate a neuron at multiple synaptic locations along its dendritic tree. Accumulation of multiple synaptic inputs causes changes in the neuron's membrane potential leading to firing of an action potential. Our simulations show that simultaneous syna
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Baker, Curtis L. "Spatial- and temporal-frequency selectivity as a basis for velocity preference in cat striate cortex neurons." Visual Neuroscience 4, no. 02 (February 1990): 101–13. http://dx.doi.org/10.1017/s0952523800002273.

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AbstractMeasurements were made of the optimal velocity for drifting bar-shaped stimuli to excite striate cortex neurons of the cat. These data were compared to the optimal spatial and temporal frequencies of the same neurons, as determined with drifting sine-wave grating stimuli. A systematic relationship was revealed, whereby those neurons preferring higher velocities of bar motion also preferred lower spatial and higher temporal frequencies of gratings. The optimal bar velocity for a given neuron could be quantitatively predicted from the ratio of that neuron's optimal temporal frequency to
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Yotov, Kostadin, Emil Hadzhikolev, and Stanka Hadzhikoleva. "Integral Neuron: A New Concept for Nonlinear Neuron Modeling Using Weight Functions. Creation of XOR Neurons." Mathematics 12, no. 24 (December 18, 2024): 3982. https://doi.org/10.3390/math12243982.

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In the present study, an extension of the idea of dynamic neurons is proposed by replacing the weights with a weight function that is applied simultaneously to all neuron inputs. A new type of artificial neuron called an integral neuron is modeled, in which the total signal is obtained as the integral of the weight function. The integral neuron enhances traditional neurons by allowing the signal shape to be linear and nonlinear. The training of the integral neuron involves finding the parameters of the weight function, where its functional values directly influence the total signal in the neur
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Wright, Nathaniel C., Mahmood S. Hoseini, Tansel Baran Yasar, and Ralf Wessel. "Coupling of synaptic inputs to local cortical activity differs among neurons and adapts after stimulus onset." Journal of Neurophysiology 118, no. 6 (December 1, 2017): 3345–59. http://dx.doi.org/10.1152/jn.00398.2017.

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Cortical activity contributes significantly to the high variability of sensory responses of interconnected pyramidal neurons, which has crucial implications for sensory coding. Yet, largely because of technical limitations of in vivo intracellular recordings, the coupling of a pyramidal neuron’s synaptic inputs to the local cortical activity has evaded full understanding. Here we obtained excitatory synaptic conductance ( g) measurements from putative pyramidal neurons and local field potential (LFP) recordings from adjacent cortical circuits during visual processing in the turtle whole brain
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Dissertations / Theses on the topic "Neurons"

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Moonens, Sofie. "Mirror Neurons : The human mirror neuron system." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6103.

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This literature review explores human mirror neurons from several angles. First it retells mirror neuron history, from the initial discovery in the macaque monkey research through to the experiments determining if there is a human brain homologue. Then the merits of two opposing evolutionary views – mirror neurons as an adaptation or an association, here referring to an adaptation’s byproduct – are discussed. Lastly the autistic mirror neuron dysfunction hypothesis – stating that a faulty mirror neuron system is at the basis of autistic behavioral patterns – is examined for its validity but ul
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Steinbush, H. W. M. "Het neuron als bruggenbouwer "bridging disciplines by neurons" /." Maastricht : Maastricht : Instituut hersenen en gedrag ; University Library, Universiteit Maastricht [host], 1999. http://arno.unimaas.nl/show.cgi?fid=12984.

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Moubarak, Estelle. "Constraints imposed by morphological and biophysical properties of axon and dendrites on the electrical behaviour of rat substantia nigra pars compacta dopaminergic neurons." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0746.

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L’activité électrique des neurones est déterminée par des interactions complexes entre leurs propriétés morphologiques et biophysiques. Les neurones dopaminergiques (DA) de la substance noire compacte (SNc) présentent une caractéristique morphologique peu commune parmi les neurones de mammifères: leur axone émerge fréquemment d’une dendrite à une distance très variable du soma. Malgré cette importante variabilité dans la localisation de l’axone, peu d’articles ont étudié un lien potentiel entre morphologie neuronale et activité électrique dans ces cellules. Dans un premier article, nous avons
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Serrat, Reñé Román. "Papel de Alex3 en la vía de señalización de Wnt y en la dinámica mitocondrial." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/83338.

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La proteína Alex3 forma parte de la familia de genes exclusiva de los mamíferos euterios Armcx, caracterizada por presentar una alta expresión en el SNC, por encontrarse localizada en clúster en el cromosoma X y porque se originaron a partir de la retrotransposición del gen Armc10 y una rápida duplicación en tándem en una evolución temprana de los mamíferos euterios. Las proteínas Armcx/Armc10 poseen primariamente una localización subcelular bimodal, encontrándose asociadas a la membrana externa mitocondrial y en el núcleo celular, localización que concuerda con sus secuencias proteicas que po
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Wilson, Jennifer M. M. "Mechanisms of neuronal integration in adrenomedullary sympathetic preganglionic neurons." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6334.

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Sympathetic preganglionic neurons innervating the adrenal medulla (AD-SPN) regulate the release of adrenal catecholamines into the bloodstream. This research was undertaken to investigate the intrinsic properties and synaptic pathways characteristic of AD-SPN in neonatal rat spinal cord slice preparation. The presence of Lucifer Yellow from the patch pipette and Rhodamine-Dextran-Lysine from the adrenal medulla in the same neuron post recording identified AD-SPN. Active intrinsic properties revealed and characterised include: a potassium-mediated transient outward rectification present in 96%
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Ganguly, Karunesh. "Activity-dependent regulation of neuronal excitability in hippocampal neurons /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3059903.

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Avó, Freixo Francisco Duque Projecto. "Novel roles for the mitotic kinase Nek7 in hippocampal neurons." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/399540.

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The microtubule cytoskeleton plays essential roles during cell division, migration, differentiation, defining cell morphology and organizing intracellular transport. The properties of microtubules, such as their stability, polarity and dynamics, are spatially and temporally regulated by several factors, including post-translational modifications, stabilizing/destabilizing MAPs, motors, kinases, phosphatases, etc. Many of these factors were identified in cycling cells and particularly during mitosis. Nevertheless, some bona-fide mitotic microtubule regulators are also expressed in differenti
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Stanke, Jennifer J. "Beyond Neuronal Replacement: Embryonic Retinal Cells Protect Mature Retinal Neurons." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250820277.

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Bonifazi, Paolo. "Information processing in dissociated neuronal cultures of rat hippocampal neurons." Doctoral thesis, SISSA, 2005. http://hdl.handle.net/20.500.11767/4080.

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One of the major aims of Systems Neuroscience is to understand how the nervous system transforms sensory inputs into appropriate motor reactions. In very simple cases sensory neurons are immediately coupled to motoneurons and the entire transformation becomes a simple reflex, in which a noxious signal is immediately transformed into an escape reaction. However, in the most complex behaviours, the nervous system seems to analyse in detail the sensory inputs and is performing some kind of information processing (IP). IP takes place at many different levels of the nervous system: from the peri
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Albrecht, David. "Efectos de la proteína SPARC sobre la maduración de las sinapsis autápticas colinérgicas." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/107673.

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Las sinapsis son un elemento clave para el funcionamiento del sistema nervioso y la formación de las sinapsis es un proceso decisivo a lo largo de la vida. El establecimiento de los contactos sinápticos ocurre tanto en el sistema nervioso en desarrollo como en el cerebro adulto. Durante todo este proceso las neuronas y las células gliales se encuentran íntimamente acopladas por todo el sistema nervioso. Las investigaciones de las últimas décadas han evidenciado que las células gliales poseen un rol que va más allá del clásicamente atribuido, demostrando que la glía posee una función relevante
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Books on the topic "Neurons"

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Gerstner, Wulfram. Spiking neuron models: Single neurons, populations, plasticity. Cambridge, U.K: Cambridge University Press, 2002.

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Fillenz, Marianne. Noradrenergic neurons. Cambridge [England]: Cambridge University Press, 1990.

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Taylor, John Gerald. Coupled Oscillating Neurons. London: Springer London, 1992.

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Colombo, Bruno, ed. The Musical Neurons. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08132-3.

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Taylor, John Gerald, and C. L. T. Mannion, eds. Coupled Oscillating Neurons. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1965-4.

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Sifr, Ken Al. Too many neurons. New York: Vantage Press, 1997.

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1931-, Taylor John Gerald, and Mannion C. L. T, eds. Coupled oscillating neurons. London: Springer-Verlag, 1992.

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Armstrong, William E., and Jeffrey G. Tasker, eds. Neurophysiology of Neuroendocrine Neurons. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118606803.

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Augenbraun, Eliene. Acidified compartments in neurons. [New York]: [Columbia University], 1992.

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J, Bean Andrew, ed. Protein trafficking in neurons. Amsterdam: Elsevier/Academic Press, 2007.

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Book chapters on the topic "Neurons"

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Cheng, Xiaoyan, Sebastian Simmich, Finn Zahari, Tom Birkoben, Maximiliane Noll, Tobias Wolfer, Eckhard Hennig, Robert Rieger, Hermann Kohlstedt, and Andreas Bahr. "Biologically Inspired and Energy-Efficient Neurons." In Springer Series on Bio- and Neurosystems, 357–84. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36705-2_15.

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AbstractSilicon neurons represent different levels of biological details and accuracies as a trade-off between complexity and power consumption. With respect to this trade-off and high similarity to neuron behaviour models, relaxation-type oscillator circuits often yield a good compromise to emulate neurons. In this chapter, two exemplified relaxation-type silicon neurons are presented that emulate neural behaviour with energy consumption under the scale of nJ/spike. The first proposed fully CMOS relaxation SiN is based on mathematical Izhikevich model and can mimic a broad range of physiologically observable spike patterns. The results of kinds of biologically plausible output patterns and coupling process of two SiNs are presented in 0.35 $$\upmu $$ μ m CMOS technology. The second type is a novel ultra-low-frequency hybrid CMOS-memristive SiN based on relaxation oscillators and analog memristive devices. The hybrid SiN directly emulates neuron behaviour in the range of physiological spiking frequencies (less than 100 Hz). The relaxation oscillator is implemented and fabricated in 0.13 $$\upmu $$ μ m CMOS technology. An autonomous neuronal synchronization process is demonstrated with two relaxation oscillators coupled by an analog memristive device in the measurement to emulate the synchronous behaviour between spiking neurons.
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Akiyama, Haruhiko. "Neurons." In Neuroinflammatory Mechanisms in Alzheimer’s Disease Basic and Clinical Research, 225–36. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8350-4_12.

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Abe, Koji. "Neurons." In Cerebral Ischemia, 217–32. Totowa, NJ: Humana Press, 1999. http://dx.doi.org/10.1007/978-1-59259-479-5_8.

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Lyle, Randall R. "Neurons." In Encyclopedia of Child Behavior and Development, 1012–13. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1958.

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Sabah, Nassir H. "Neurons." In Neuromuscular Fundamentals, 231–74. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003024798-7.

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Saucedo, Leslie. "Neurons." In Getting to Know Your Cells, 37–42. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30146-9_7.

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Stetter, Martin. "Neurons and Neuronal Signal Propagation." In Exploration of Cortical Function, 5–22. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0430-5_2.

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Strisciuglio, Nicola, and Nicolai Petkov. "Brain-Inspired Algorithms for Processing of Visual Data." In Lecture Notes in Computer Science, 105–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_8.

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AbstractThe study of the visual system of the brain has attracted the attention and interest of many neuro-scientists, that derived computational models of some types of neuron that compose it. These findings inspired researchers in image processing and computer vision to deploy such models to solve problems of visual data processing.In this paper, we review approaches for image processing and computer vision, the design of which is based on neuro-scientific findings about the functions of some neurons in the visual cortex. Furthermore, we analyze the connection between the hierarchical organization of the visual system of the brain and the structure of Convolutional Networks (ConvNets). We pay particular attention to the mechanisms of inhibition of the responses of some neurons, which provide the visual system with improved stability to changing input stimuli, and discuss their implementation in image processing operators and in ConvNets.
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Dieudonné, Stéphane. "Golgi Neurons." In Essentials of Cerebellum and Cerebellar Disorders, 201–5. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24551-5_24.

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Pietrajtis, Katarzyna, and Stéphane Dieudonné. "Golgi Neurons." In Handbook of the Cerebellum and Cerebellar Disorders, 829–52. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-1333-8_34.

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Conference papers on the topic "Neurons"

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Ge, Yuhong, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, and Dahua Lin. "X-neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 458–65. IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801727.

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Cao, Guoxin, You Zhou, Jeong Soon Lee, Jung Yul Lim, and Namas Chandra. "Mechanical Model of Neuronal Function Loss." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39447.

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The mechanism of mild traumatic brain injury (mTBI) is directly related to the relationship between the mechanical response of neurons and their biological/chemical functions since the neuron is the main functional component of brain.1 The hypotheses is that the external mechanical load will firstly cause the mechanical deformation of neurons, and then, when the mechanical deformation of neurons reaches to a critical point (the mechanical deformation threshold), it will initiate the chemical/biological response (e.g. neuronal function loss). Therefore, defining and measuring the mechanical def
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Previtera, Michelle L., Mason Hui, Malav Desai, Devendra Verma, Rene Schloss, and Noshir A. Langrana. "Neuronal Precursor Cell Proliferation on Elastic Substrates." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53246.

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Numerous stem cells therapies have been studied for the replacement of damaged neurons due to spinal cord injury. Our laboratory’s goal is to design an implantable platform for spinal cord neuron (SCN) proliferation and differentiation in order to replace damaged neurons in the injured spinal cord. Based on previous literature, we suspect we can promote neuronal precursor cell (NPC) proliferation and differentiation utilizing elastic matrices.
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Rohlev, Anton, Christian Radehaus, Jacques I. Pankove, R. F. Carson, and G. Borglis. "Optoelectronic Neuron." In Optical Computing. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/optcomp.1991.me5.

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In analogy to biological neurons that interact with other neurons both electrically and chemically, the optoelectronic neurons interact with other optoelectronic neurons electrically and/or optically. Like a biological neuron, the optoelectronic neuron can have multiple input and thresholding. While the chemical interaction between biological neurons can employ different neurotransmitters, the optical interaction between optoelectronic neurons can employ photons of different wavelengths.
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Chauhan, Vibha, Quy Nguyen, Jeremy Francis, and Paola Leone. "Differential Degeneration of Neurons in a Mouse Model of Canavan Disease." In 27th Annual Rowan-Virtua Research Day. Rowan University Libraries, 2023. https://doi.org/10.31986/issn.2689-0690_rdw.stratford_research_day.68_2023.

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Canavan disease (CD) is an inherited leukodystrophy caused by inactivating mutations to the glial enzyme aspartoacylase (ASPA). ASPA catabolizes neuronal N-acetylaspartate (NAA) into free acetate and aspartate and loss of this function results in the chronic elevation of non-catabolized NAA and the failure of developmental myelination. Elevated NAA is thought to cause damage to myelin and myelin-producing cells (oligodendrocytes, but the viability of neurons in CD is relatively unexplored. We compare here the progressive degeneration of neurons in two regions of the CD mouse brain, the thalamu
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Taylor, V. J., and Thomas F. Krile. "Electrooptical implementation of the Huberman-Hogg neural model." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.fb3.

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The proposed hybrid electrooptical implementation of the Huberman-Hogg (H-H) model has several major components.1 The H-H model specifies that the neuron connections are between nearest diagonal neighbors and that the output of a neuron is a nonlinear function of the neuron memory and a difference operation performed on the neuron inputs. The first component is a liquid crystal TV which serves as an input device that converts electrical signals to a 2-D array of optical signals. This 2-D array simulates one layer of neurons. The second component is an optical system that specifies the intercon
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Ball, John M., Clarence C. Franklin, David J. Schulz, and Satish S. Nair. "Co-Regulation of Calcium and Delayed Rectifier Currents Maintains Neuronal Output in a Model of a Crustacean Cardiac Motor Neuron." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2299.

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Homeostatic processes are widespread throughout all living systems, and the nervous system is no exception. Individual neurons as well as neuronal networks must maintain levels of excitability and connectivity to ensure that consistent functional output is achieved. Possible mechanisms for maintaining functional output using co-regulation of channel conductances is studied for a motor neuron, using a computational model. The results are both consistent with and extend the biological observations.
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Lee, Yun-Jhu, Mehmet Berkay On, Luis El Srouji, Li Zhang, Mahmoud Abdelghany, and S. J. Ben Yoo. "Demonstration of Neural Heterogeneity with Programmable Brain-Inspired Optoelectronic Spiking Neurons." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.tu3f.4.

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Neural heterogeneity enables spiking neural networks to implement complex functions with fewer neurons. We designed, simulated, and demonstrated programmable optoelectronic spiking neurons that can achieve multiple neuron characteristics based on external tuning voltages.
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Howard, R. V., W. K. Chai, and H. S. Tzou. "Modal Voltages of Linear and Nonlinear Structures Using Distributed Artificial Neurons." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0547.

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Abstract Laminated or embedded distributed neurons on structural components serve as in-situ sensors monitoring structure’s dynamic state and health status. Thin film piezoelectric patches are perfect candidates for this purpose. A generic piezoelectric neuron concept is introduced first, followed by definitions of neural signals generated by an arbitrary neuron laminated on a generic nonlinear double-curvature elastic shell. This generic neuron theory can be applied to a large class of linear and nonlinear common geometries, e.g., spheres, cylindrical shells, plates, etc. To demonstrate the n
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Lin, Steven, and Demetri Psaltis. "GaAs optoelectronic neurons." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mk1.

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Monolithically integrated optoelectronic circuits have emerged as a viable solution for implementing nonlinear operations and providing gain in optical neural networks. However, before they can be incorporated into a practical system, these devices must be in the form of large arrays and have sufficient optical gain to compensate for the optical losses due to the low efficiency of the interconnection medium. Furthermore, they much dissipate little electrical power so that the performance will not be limited by heat dissipation and at the same time exhibit high input sensitivity to accommodate
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Reports on the topic "Neurons"

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Bongsebandhu-phubhakdi, Saknan, and Anan Srikiatkhachorn. On-media axon branching and adhesion investigation of neurons as stimulated by modulated potentials on micro-patterned gold substrate. Faculty of Medicine, Chulalongkorn University, 2016. https://doi.org/10.58837/chula.res.2016.22.

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The main focus of this research paper is on-media axon branching and adhesion investigation of neurons as stimulated by modulated potentials on micro-patterned gold substrate. Due to the prolonged and inefficient procedures of nerve repair, it is essential that we effectively incorporate different parameters and techniques as well as investigate cell-cell and cell-substrate interactions to explore new boundaries. This could lead to more operational options for nerve regeneration. Initially, the behavior of cell growth is first observed. 3T3 and Neuro2A cells are grown according to specific pro
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Orendurff, Dody. Consciousness, neurons, and laughing gas. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.837.

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Rothganger, Fredrick, James Aimone, Christina Warrender, and Derek Trumbo. Neurons to algorithms LDRD final report. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1096471.

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Almassian, Amin. Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2720.

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Brown, Thomas H. Self-Organization of Hebbian Synapses on Hippocampal Neurons. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada299559.

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Brown, Thomas H. Self-Organization of Hebbian Synapses on Hippocampal Neurons. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada309810.

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Carvey, Paul M. Cytokine Induction of Dopamine Neurons from Progenitor Cells. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada391417.

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Gothilf, Yoav, Yonathan Zohar, Susan Wray, and Hanna Rosenfeld. Inducing sterility in farmed fish by disrupting the development of the GnRH System. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7696512.bard.

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Hypothalamic gonadotropinreleasing hormone (GnRH1) is the key hormone in the control of gametogenesis and gonadal growth in vertebrates. Developmentally, hypothalamic GnRHproducing neurons originate from the olfactory placode, migrate along olfactory axons into the forebrain, and continue to the preoptic area and hypothalamus where they function to stimulate gonadotropin secretion from the pituitary gland. An appropriate location of GnRH neurons within the hypothalamus is necessary for normal reproductive function in the adult; abnormal migration and targeting of GnRH neurons during embryogene
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Ori, Naomi, and Sarah Hake. Similarities and differences in KNOX function. United States Department of Agriculture, March 2008. http://dx.doi.org/10.32747/2008.7696516.bard.

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Hypothalamic gonadotropinreleasing hormone (GnRH1) is the key hormone in the control of gametogenesis and gonadal growth in vertebrates. Developmentally, hypothalamic GnRHproducing neurons originate from the olfactory placode, migrate along olfactory axons into the forebrain, and continue to the preoptic area and hypothalamus where they function to stimulate gonadotropin secretion from the pituitary gland. An appropriate location of GnRH neurons within the hypothalamus is necessary for normal reproductive function in the adult; abnormal migration and targeting of GnRH neurons during embryogene
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Morrow, Thomas J. Modulation of Thalamic Somatosensory Neurons by Arousal and Attention. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada200073.

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