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Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

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Product Code: 9783319570808
ISBN13: 9783319570808
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$118.37

Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

$118.37
 

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.




Author: Dorian Florescu
Publisher: Springer
Publication Date: May 03, 2017
Number of Pages: 139 pages
Binding: Hardback or Cased Book
ISBN-10: 3319570803
ISBN-13: 9783319570808
 

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