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Titlebook: Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits; Dorian Florescu Book 2017 Springer International Pu

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發(fā)表于 2025-3-21 19:41:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits
編輯Dorian Florescu
視頻videohttp://file.papertrans.cn/825/824256/824256.mp4
概述Nominated as an outstanding Ph.D. thesis by the University of Sheffield.Reformulates, for the first time, the encoding performed by the integrate-and-fire neuron model as a problem of uniform sampling
叢書(shū)名稱Springer Theses
圖書(shū)封面Titlebook: Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits;  Dorian Florescu Book 2017 Springer International Pu
描述.This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed...A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron...Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations..A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of alinear filter, given the input of the filter encoded with the same neuron model..
出版日期Book 2017
關(guān)鍵詞System Identification; Spiking Neural Circuits; Time Encoding Machines; Time Decoding Machines; Integrat
版次1
doihttps://doi.org/10.1007/978-3-319-57081-5
isbn_softcover978-3-319-86072-5
isbn_ebook978-3-319-57081-5Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 22:30:25 | 只看該作者
2190-5053 grate-and-fire neuron model as a problem of uniform sampling.This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed...A new mathematical formulation is proposed for the e
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Time Encoding and Decoding in Bandlimited and Shift-Invariant Spaces,lass of time encoding machines (TEM). Using mathematical tools from nonuniform sampling theory, it was proven that, the input of a TEM belonging to a bandlimited space can be perfectly reconstructed from the corresponding output sequence of spike times. This result was subsequently generalised for i
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A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate-and-Fire Neurons,formed by an IF neuron on a function . as an equivalent input independent uniform sampling operation performed on an auxiliary function .. Under the assumption that the input is bandlimited, the new framework forms the basis for two new reconstruction methods for the IF neuron. A reconstruction cond
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發(fā)表于 2025-3-22 15:26:50 | 只看該作者
A Novel Reconstruction Framework in Shift-Invariant Spaces for Signals Encoded with Integrate-and-F-of-the-art reconstruction algorithm for IF neurons with inputs belonging to a SIS is based on an iterative computation of the stimulus. This chapter introduces new theoretical results that form the basis for a new non-iterative reconstruction algorithm, more accurate than the state-of-the-art metho
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Introduction,series with IF neurons, directly from input-output observations. The third problem considered is the lack of a general theory to characterize the processing of information by circuits that operate with spike trains, or to design circuits that implement particular processing tasks, in a similar fashion to classical analog and digital filters.
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