Advertisement
Published in:
2017 | OriginalPaper | Chapter
3. A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate-and-Fire Neurons
Author : Dorian Florescu
Published in: Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
This chapter introduces a new framework for studying time encoding and decoding by reformulating the input dependent nonuniform sampling operation performed by an IF neuron on a function u as an equivalent input independent uniform sampling operation performed on an auxiliary function \( \bar{\psi }' \). Under the assumption that the input is bandlimited, the new framework forms the basis for two new reconstruction methods for the IF neuron. A reconstruction condition is derived by introducing new theoretical results characterizing function \( \bar{\psi }' \). Using numerical simulations, it is proven that the new algorithms have a similar level of accuracy, but are significantly faster that the state-of-the-art reconstruction algorithms.