Title :
Towards a spiking VLSI implementation of Freeman´s olfactory model
Author :
Holz, Thomas A. ; Harris, John G.
Author_Institution :
Computational Neuro-Eng. Lab., Florida Univ., Gainesville, FL, USA
Abstract :
We introduce the Freeman model - a nonlinear dynamic system proposed to model the operation of the cortex - and explain how its interconnected nature complicates physical realizations. We propose changing the Freeman model so that it is a spiking network in order to alleviate the implementation problems while preserving the important dynamic characteristics. We include simulation results showing that our modified spiking model demonstrates those dynamics. Finally, we show experimental results from a VLSI chip implementation of the spiking model as a proof-of-concept.
Keywords :
VLSI; neural nets; nonlinear network analysis; Freeman olfactory model; cortex; dynamic characteristics; nonlinear dynamic system; nonlinear network; proof-of-concept; spiking VLSI implementation; spiking network; spiking neuron; Brain modeling; Chaos; Electroencephalography; Laboratories; Low pass filters; Neural engineering; Nonlinear dynamical systems; Olfactory; Physics computing; Very large scale integration;
Conference_Titel :
Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
Print_ISBN :
0-7803-8715-5
DOI :
10.1109/ICECS.2004.1399649