Title :
A neuromorphic VLSI grid cell system
Author :
Massoud, Tarek M. ; Horiuchi, Timothy K.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Maryland, College Park, MD, USA
Abstract :
Neurons in the medial entorhinal cortex of rats have been found to respond in a two-dimensional hexagonal “grid” pattern anchored to the environment. “Grid cells” with different spatial frequencies are thought to contribute to the creation of unimodal “place” cell responses useful for spatial navigation. In this paper we present results from an analog VLSI circuit that generates a hexagonal grid of activity using continuous attractor dynamics and transmits this pattern via neuron-like spikes. This circuit is a component of a larger system for modeling the neural circuits underlying mammalian spatial navigation.
Keywords :
VLSI; analogue circuits; integrated circuit modelling; neural nets; analog VLSI circuit; continuous attractor dynamics; mammalian spatial navigation; medial entorhinal cortex; neural circuit modeling; neuromorphic VLSI grid cell system; neuron-like spike; rat; spatial frequency; two-dimensional hexagonal grid pattern; unimodal place cell response; Computer architecture; Kernel; Microprocessors; Neuromorphics; Threshold voltage; Transistors;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6271787
