CHAOS-BASED MIXED SIGNAL IMPLEMENTATION OF SPIKING NEURONS-Reference-Cited by-同舟云学术

CHAOS-BASED MIXED SIGNAL IMPLEMENTATION OF SPIKING NEURONS

Published:2009-12 Issue:06 Volume:19 Page:465-471
ISSN:0129-0657
Container-title:International Journal of Neural Systems
language:en
Short-container-title:Int. J. Neur. Syst.

Author:

ROSSELLO JOSEP L.¹,CANALS VINCENT¹,MORRO ANTONI¹,VERD JAUME¹

Affiliation:

1. Physics Department, Universitat de les Illes Balears, Campus UIB, Cra., Valldemossa km. 7.5, Ed. MO Palma de Mallorca, Balears, 07122, Spain

Abstract

A new design of Spiking Neural Networks is proposed and fabricated using a 0.35 μm CMOS technology. The architecture is based on the use of both digital and analog circuitry. The digital circuitry is dedicated to the inter-neuron communication while the analog part implements the internal non-linear behavior associated to spiking neurons. The main advantages of the proposed system are the small area of integration with respect to digital solutions, its implementation using a standard CMOS process only and the reliability of the inter-neuron communication.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129065709002166

Reference12 articles.

1. Solving graph algorithms with networks of spiking neurons

2. EMERGENCE OF PREFERRED FIRING SEQUENCES IN LARGE SPIKING NEURAL NETWORKS DURING SIMULATED NEURONAL DEVELOPMENT

3. SPIKING NEURAL NETWORKS

4. Self-configuring spiking neural networks

5. Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach

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