CHAOS-BASED MIXED SIGNAL IMPLEMENTATION OF SPIKING NEURONS
| Autor: | J.L. Rossello, Jaume Verd, Vincent Canals, Antoni Morro |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Central Nervous System
Theoretical computer science Computer Networks and Communications Computer science Reliability (computer networking) Action Potentials Hardware_PERFORMANCEANDRELIABILITY Synaptic Transmission Artificial Intelligence Neural Pathways Hardware_INTEGRATEDCIRCUITS Animals Humans Computer Simulation Electronics Neurons Spiking neural network Computers business.industry Signal Processing Computer-Assisted Mixed-signal integrated circuit Mathematical Concepts General Medicine Digital circuitry CHAOS (operating system) Nonlinear system Nonlinear Dynamics CMOS Neural Networks Computer Nerve Net business Computer hardware |
| Zdroj: | ResearcherID |
| ISSN: | 1793-6462 0129-0657 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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