NDLI: ATR's artificial brain ("CAM-Brain") project: A sample of what individual "CoDi-1 Bit" model evolved neural net modules can do with digital and analog I/O

Content Provider	IEEE Xplore Digital Library
Author	de Garis, H. Buller, A. Korkin, M. Gers, F. Nawa, N.E. Hough, M.
Copyright Year	1999
Description	Author affiliation: Dept. of Evolutionary Syst., ATR, Kyoto, Japan (de Garis, H.)
Abstract	This work presents a sample of what evolved neural net circuit modules using the socalled "CoDi-1 Bit" neural net model can do. This work is part of an 8 year research project at ATR which aims to build an artificial brain containing a billion neurons by the year 2001, that will be used to control the behaviors of a kitten robot "Robokoneko". It looks as though the figure is more likely to be 40 million, but the numbers are not of great concern. What is more important is the issue of evolvability of the cellular automata (CA) based neural net circuits which grow and evolve in special FPGA (Field Programmable Gate Array) hardware, at hardware speeds (e.g. updating 150 billion CA cells per second, and performing a complete run of a genetic algorithm, i.e. tens of thousands of circuit growths and fitness evaluations to evolve the elite neural net circuit in about 1 second). The specialized hardware which performs this evolution is labeled the CAM-Brain Machine (CBM). It implements the CoDi-1 Bit model, and was delivered to ATR in May 1999. The CBM should make practical the assemblage of 10,000s of evolved neural net modules into humanly defined artificial brain architectures. For the past few months, the latest hardware version of the CBM has been simulated in software to see just how evolvable and functional individual evolved modules can be. This work reports on some of the results of these simulations, for which the input/output is either binary or analog.
Starting Page	102
Ending Page	110
File Size	85106
Page Count	9
File Format	PDF
ISBN	0769502563
DOI	10.1109/EH.1999.785441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological neural networks Circuits Hardware Artificial neural networks Cellular neural networks Neural networks Field programmable gate arrays Brain modeling Neurons Automatic control
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

ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do

Atr's artificial brain (cam-brain) project: a sample of what individual codi-1bit model evolved neural net modules can do.

ATR's ARTIFICIAL BRAIN ("CAM-Brain") PROJECT A SAMPLE OF WHAT INDIVIDUAL "CoDi-1Bit" MODEL EVOLVED NEURAL NET MODULES CAN DO WITH DIGITAL AND ANALOG I/O

ATR's Artificial Brain (CAM-Brain) Project: A Sample of What Individual CoDi-1Bit Model Evolved Neural Net Modules Can Do

ATR's ARTIFICIAL BRAIN ("CAM-Brain") PROJECT - A SAMPLE OF WHAT INDIVIDUAL "CoDi-1Bit" MODEL EVOLVED NEURAL NET MODULES CAN DO WITH DIGITAL AND ANALOG I/O

ATR's Artificial Brain ("CAM-Brain") Project: A Sample of what Individual "CoDi1Bit " Model Evolved Neural Net Modules can do with Digital and Analog I/O (1999)

ATR's Artificial Brain (CAM-Brain) Project: a progress report

Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain project

Spiker: analog waveform to digital spiketrain conversion in atr's artificial brain (cam-brain) project.

ATR's artificial brain ("CAM-Brain") project: A sample of what individual "CoDi-1 Bit" model evolved neural net modules can do with digital and analog I/O

Similar Documents

ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do

Atr's artificial brain (cam-brain) project: a sample of what individual codi-1bit model evolved neural net modules can do.

ATR's ARTIFICIAL BRAIN ("CAM-Brain") PROJECT A SAMPLE OF WHAT INDIVIDUAL "CoDi-1Bit" MODEL EVOLVED NEURAL NET MODULES CAN DO WITH DIGITAL AND ANALOG I/O

ATR's Artificial Brain (CAM-Brain) Project: A Sample of What Individual CoDi-1Bit Model Evolved Neural Net Modules Can Do

ATR's ARTIFICIAL BRAIN ("CAM-Brain") PROJECT - A SAMPLE OF WHAT INDIVIDUAL "CoDi-1Bit" MODEL EVOLVED NEURAL NET MODULES CAN DO WITH DIGITAL AND ANALOG I/O

ATR's Artificial Brain ("CAM-Brain") Project: A Sample of what Individual "CoDi1Bit " Model Evolved Neural Net Modules can do with Digital and Analog I/O (1999)

ATR's Artificial Brain (CAM-Brain) Project: a progress report

Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain project

Spiker: analog waveform to digital spiketrain conversion in atr's artificial brain (cam-brain) project.

ATR's artificial brain ("CAM-Brain") project: A sample of what individual "CoDi-1 Bit" model evolved neural net modules can do with digital and analog I/O