NDLI: Biologically inspired evolutionary temporal neural circuits

Content Provider	IEEE Xplore Digital Library
Author	Derakhshani, R. Schuckers, S.A.C.
Copyright Year	2002
Description	Author affiliation: Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA (Derakhshani, R.; Schuckers, S.A.C.)
Abstract	The success of classical artificial neural networks as well as the wealth of new data about neuronal functions encourages researchers to explore new possibilities for the creation of biologically inspired artificial neural circuits. Temporal sequence is an important factor which is underrepresented in classical artificial neural networks. We developed a computational model of a neuronal circuit that incorporates more biological resemblance in a form of a fully interconnected temporal network. The proposed function of the circuit is crucial in selecting the parameters which control each neuron and their final arrangement. However, the mathematics behind the dynamics of nonlinear, time sensitive, interconnected neural circuits and their learning processes as well as the choice of temporal neural code is daunting. To solve this problem, we use evolutionary optimization methods to find the appropriate configuration of simulated neural circuits. The results of a preliminary simulated neural circuit demonstrate that pattern recognition tasks can be performed with robustness to noisy or distorted patterns.
Sponsorship	IEEE IEEE Neural Networks Soc. (NNS) Int. Neural Network Soc
Starting Page	1357
Ending Page	1361
File Size	473752
Page Count	5
File Format	PDF
ISBN	0780372786
ISSN	10987576
DOI	10.1109/IJCNN.2002.1007693
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological information theory Artificial neural networks Integrated circuit interconnections Circuit simulation Biology computing Computer networks Biological system modeling Computational modeling Neurons Mathematics
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

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