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Mismatch reduction through dendritic nonlinearities in a 2D silicon dendritic neuron array


Wang, Y; Liu, S C (2011). Mismatch reduction through dendritic nonlinearities in a 2D silicon dendritic neuron array. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2011, Rio de Janeiro, Brazil, 15 May 2011 - 18 May 2011, 677-680.

Abstract

This paper describes a novel 2D programmable dendritic neuron array consisting of a 3×32 dendritic compartment array and a 1×32 somatic compartment array. Each dendritic compartment contains two types of regenerative nonlinearities: an NMDA nonlinearity and a dendritic spike nonlinearity. The chip supports the programmability of local synaptic weights and the configuration of dendritic morphology for individual neurons through the address-event representation protocol. With a novel local cable circuit between neighboring compartments, different dendritic morphologies can be constructed. From results measured on a chip fabricated in a 4-metal, 2-poly, 0.35µm CMOS technology, we show one instance of how dendritic nonlinearities can contribute to neuronal computation: the dendritic spike mechanism dynamically reduces the mismatch-induced coefficient of variation of the somatic response amplitude from approximately 40% to 3.5%.

Abstract

This paper describes a novel 2D programmable dendritic neuron array consisting of a 3×32 dendritic compartment array and a 1×32 somatic compartment array. Each dendritic compartment contains two types of regenerative nonlinearities: an NMDA nonlinearity and a dendritic spike nonlinearity. The chip supports the programmability of local synaptic weights and the configuration of dendritic morphology for individual neurons through the address-event representation protocol. With a novel local cable circuit between neighboring compartments, different dendritic morphologies can be constructed. From results measured on a chip fabricated in a 4-metal, 2-poly, 0.35µm CMOS technology, we show one instance of how dendritic nonlinearities can contribute to neuronal computation: the dendritic spike mechanism dynamically reduces the mismatch-induced coefficient of variation of the somatic response amplitude from approximately 40% to 3.5%.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Event End Date:18 May 2011
Deposited On:09 Mar 2012 14:31
Last Modified:05 Apr 2016 15:43
Publisher:IEEE
Series Name:IEEE International Symposium on Circuits and Systems (ISCAS) 2011
Number of Pages:3
ISSN:0271-4302
ISBN:978-1-4244-9472-9;978-1-4244-9473-6
Publisher DOI:https://doi.org/10.1109/ISCAS.2011.5937656

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