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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

Paperback Published: 17th May 2019
ISBN: 9783319860725
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.

ISBN: 9783319860725
ISBN-10: 3319860720
Series: Springer Theses
Audience: General
Format: Paperback
Language: English
Number Of Pages: 139
Published: 17th May 2019
Publisher: Springer International Publishing AG
Country of Publication: CH
Dimensions (cm): 23.39 x 15.6  x 0.84
Weight (kg): 0.23

Earn 429 Qantas Points
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