Title :
A VHDL-AMS based spiking neuron model
Author_Institution :
Fac. of Electron., Telecommun. & Technol. Inf., Tech. Univ. "Gh. Asachi" Iasi, Iasi, Romania
Abstract :
Nowadays trends in the electronic system design look beyond the conventional computing architectures towards biologically inspired solutions to find new circuit ideas to advance the computational power of the future computational structures. The present paper introduces a VHDL-AMS based spiking neuron model, which exhibits realistic behavior. This approach is suitable to integrate hybrid neuro-eletronic circuits into a compact model used to perform the functional verification of the electronic system, which precedes its VLSI implementation.
Keywords :
VLSI; electronic design automation; hardware description languages; mixed analogue-digital integrated circuits; neural chips; VHDL-AMS; VLSI implementation; biologically inspired solutions; computational structures; computing architectures; electronic system design; functional verification; hybrid neuro-eletronic circuits; spiking neuron model; Biological information theory; Biological system modeling; Biology computing; Biomembranes; Brain modeling; Capacitance; Circuit simulation; Neurons; Power system modeling; Very large scale integration;
Conference_Titel :
Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4244-3785-6
Electronic_ISBN :
978-1-4244-3786-3
DOI :
10.1109/ISSCS.2009.5206130
