Nonlinear Cognitive Signal Processing in Ultralow-Power Programmable Analog Hardware

Autor:	Dong Song, Theodore W. Berger, John Choma, Viviane S. Ghaderi
Rok vydání:	2015
Předmět:	Signal processing Analogue electronics Computer science business.industry Modular design Chip Analog multiplier Logic gate Electronic engineering Digital control Electrical and Electronic Engineering business Analog device Computer hardware
Zdroj:	IEEE Transactions on Circuits and Systems II: Express Briefs. 62:124-128
ISSN:	1558-3791 1549-7747
DOI:	10.1109/tcsii.2014.2387693
Popis:	This brief presents a programmable ultralow-power analog neural signal processing system. The analog hardware implements a nonlinear model that can replicate and predict, in real time, the temporal neural codes used in complex brain functions. The transistors of the analog circuits operate in weak inversion. A digital control system is used to program model parameters and calibrate mismatches. The chip was implemented in a 130-nm complementary metal–oxide–semiconductor technology and occupies an area of 1 mm2. The power consumption of the system is 120 nW. The modular design allows for easy scaling to achieve large-scale hardware systems that emulate spike transformations of populations of neurons.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::15afc9ced90eb5135cb828ac14583bf4 https://doi.org/10.1109/tcsii.2014.2387693 Zobrazit plný text záznamu