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Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits : Springer Theses - Dorian Florescu

Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

Springer Theses

Hardcover Published: 24th May 2017
ISBN: 9783319570808
Number Of Pages: 139

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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.

Nomenclature.- Acronyms.- 1 Introduction.- 2 Time Encoding and Decoding in Bandlimited and Shift-Invariant Spaces.- 3 A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate and-Fire Neurons.- 4 A Novel Reconstruction Framework in Shift-Invariant Spaces for Signals Encoded with Integrate-and-Fire Neurons.- 5 A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data.- 6 A New Method for Implementing Linear Filters in the Spike Domain.- 7 Conclusions and Future Work.- Bibliography.

ISBN: 9783319570808
ISBN-10: 3319570803
Series: Springer Theses
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 139
Published: 24th May 2017
Publisher: Springer International Publishing AG
Country of Publication: CH
Dimensions (cm): 23.39 x 15.6  x 1.12
Weight (kg): 0.4

Earn 426 Qantas Points
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