NDLI: State-dependent sensory processing in networks of VLSI spiking neurons

Content Provider	IEEE Xplore Digital Library
Author	Neftci, E. Chicca, E. Cook, M. Indiveri, G. Douglas, R.
Copyright Year	2010
Description	Author affiliation: Institute of Neuroinformatics, University of Zurich and ETH Zurich (Neftci, E.; Chicca, E.; Cook, M.; Indiveri, G.; Douglas, R.)
Abstract	An increasing number of research groups develop dedicated hybrid analog/digital very large scale integration (VLSI) devices implementing hundreds of spiking neurons with bio-physically realistic dynamics. However, despite the significant progress in their design, there is still little insight in translating circuitry of neural assemblies into desired (non-trivial) function. In this work, we propose to use neural circuits implementing the soft Winner-Take-All (WTA) function. By showing that recurrently connected instances of them can have persistent activity states, which can be used as a form of working memory, we argue that such circuits can perform state-dependent computation. We demonstrate such a network in a distributed neuromorphic system consisting of two multi-neuron chips implementing soft WTA, stimulated by an event-based vision sensor. The resulting network is able to track and remember the position of a localized stimulus along a trajectory previously encoded in the system.
Starting Page	2789
Ending Page	2792
File Size	564889
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Very large scale integration Neurons Neuromorphics Silicon Assembly Sensor systems Trajectory Robustness Digital circuits Integrated circuit interconnections
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons

A cost model for VLSI/MCM systems

Robust classification of correlated patterns with a neuromorphic VLSI network of spiking neurons

Sequencer circuits for VLSI programming

Current mode circuits for programmable neural networks

VLSI Hamming neural net showing digital decoding

Implementing homeostatic plasticity in VLSI networks of spiking neurons

Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

Analog very large scale integration implementation of dendrite segment with voltage dependent spiking behavior

State-dependent sensory processing in networks of VLSI spiking neurons

Similar Documents

Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons

A cost model for VLSI/MCM systems

Robust classification of correlated patterns with a neuromorphic VLSI network of spiking neurons

Sequencer circuits for VLSI programming

Current mode circuits for programmable neural networks

VLSI Hamming neural net showing digital decoding

Implementing homeostatic plasticity in VLSI networks of spiking neurons

Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

Analog very large scale integration implementation of dendrite segment with voltage dependent spiking behavior

State-dependent sensory processing in networks of VLSI spiking neurons