6533b822fe1ef96bd127ca83

RESEARCH PRODUCT

Implementation of compact VLSI FitzHugh-Nagumo neurons

Jordi CospDaniel FernándezJordi MadrenasStéphane Binczak

subject

Very-large-scale integrationCapacitorNonlinear resistorlawComputer scienceRobustness (computer science)TransistorHardware_INTEGRATEDCIRCUITSElectronic engineeringHardware_PERFORMANCEANDRELIABILITYResistorInductorlaw.invention

description

In this paper we show a low power and very compact VLSI implementation of a FitzHugh-Nagumo neuron for large network implementations. The circuit consists of only 17 small transistors and two capacitors and consumes less than 23 muW. It is composed of a nonlinear resistor and a lossy active inductor. We demonstrate that a simple low Q active inductor can be used instead of a complex one because the parasitic series resistor can be easily embedded to the FitzHugh-Nagumo model. We also perform a statistical analysis to check the robustness of the circuit against mismatch.

yearjournalcountryeditionlanguage
2008-05-012008 IEEE International Symposium on Circuits and Systems
https://doi.org/10.1109/iscas.2008.4541931