Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits (Springer Theses) free ebook download.

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Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits (Springer Theses) free ebook download

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Medicine

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Author(s):	Dorian Florescu

Date:	2017-05-23	Format:	PDF	Language:	English	ISBN/ASIN:	3319570803
Pages:	139	OCR:		Quality:		ISBN13:	9783319570808
Uploader:	stirkout	Upload Date:	4/25/2017 11:16:03 AM

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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 a linear filter, given the input of the filter encoded with the same neuron model.

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Tags: Circuits Identification Implementation Methods Neural Reconstruction Spiking Springer Theses

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