Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

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-fir...

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Bibliographic Details
Main Author: Florescu, Dorian (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Signal processing.
Neural networks (Computer science) .
Neurosciences.
System theory.
Control theory.
Electronic circuits.
Signal, Speech and Image Processing.
Mathematical Models of Cognitive Processes and Neural Networks.
Neuroscience.
Systems Theory, Control.
Electronic Circuits and Systems.
Online Access:Full-text access
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Table of Contents:
  • 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.

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