Chaos-based mixed signal implementation of spiking neurons.
A new design of Spiking Neural Networks is proposed and fabricated using a 0.35 microm 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.
Rossello
Josep L
JL
Physics Department, Universitat de les Illes Balears, Campus UIB, Cra., Valldemossa km. 7.5, Ed. MO Palma de Mallorca, Balears, 07122, Spain. j.rossello@uib.es
Canals
Vincent
V
Morro
Antoni
A
Verd
Jaume
J
D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001185:Artificial Intelligence; D002490:Central Nervous System / Q000502:physiology; D003198:Computer Simulation; D003201:Computers / Q000639:trends; D004581:Electronics / Q000379:methods; D006801:Humans; D055641:Mathematical Concepts; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D009435:Synaptic Transmission / Q000502:physiology