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Titlebook: Dynamic-Clamp; From Principles to A Thierry Bal,Alain Destexhe Book 2009 Springer-Verlag New York 2009 Biophysics.Cortex.Neurobiology.Stent

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书目名称Dynamic-Clamp
副标题From Principles to A
编辑Thierry Bal,Alain Destexhe
视频video
丛书名称Springer Series in Computational Neuroscience
图书封面Titlebook: Dynamic-Clamp; From Principles to A Thierry Bal,Alain Destexhe Book 2009 Springer-Verlag New York 2009 Biophysics.Cortex.Neurobiology.Stent
描述.Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer...The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. .Dynamic-Clamp: From Principles to Applications. contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons...Thi
出版日期Book 2009
关键词Biophysics; Cortex; Neurobiology; Stent; cells; computational neuroscience; neurons; physiology
版次1
doihttps://doi.org/10.1007/978-0-387-89279-5
isbn_softcover978-1-4419-2790-3
isbn_ebook978-0-387-89279-5Series ISSN 2197-1900 Series E-ISSN 2197-1919
issn_series 2197-1900
copyrightSpringer-Verlag New York 2009
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Synaptic Conductances and Spike Generation in Cortical Cells,astic and oscillatory network activity can be applied repeatedly and precisely to neurons. In this chapter, I review our work using this approach, addressing the nature of the threshold and of the reliability of spike generation in cortical neurons, how synaptic conductance input patterns are encode
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Dynamic-Clamp-Constructed Hybrid Circuits for the Study of Synchronization Phenomena in Networks ofnd in the case of excitation from two special cases, one in which the coupling becomes effectively continuous and another in which complex behavior results from a discontinuous PRC. The firing intervals and network period predictions were generally accurate within 10% of the values actually observed
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Re-Creating In Vivo-Like Activity and Investigating the Signal Transfer Capabilities of Neurons: Dyies. Third, the dynamic-clamp experiments could re-create “in vivo-like” background synaptic activity by injection of stochastic excitatory and inhibitory conductances, and we showed that this activity profoundly modifies the input–output transfer function of thalamic and cortical neurons. We also i
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Impact of Background Synaptic Activity on Neuronal Response Properties Revealed by Stepwise Replica
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