Accession Number:

ADA278247

Title:

Research in VLSI System Implementation of Neuromorphic Learning Networks.

Descriptive Note:

Final rept. 1 Nov 92-31 Oct 94,

Corporate Author:

BELL COMMUNICATIONS RESEARCH INC LIVINGSTON NJ

Personal Author(s):

• Alspector, Joshua

Report Date:

1994-10-31

Pagination or Media Count:

6.0

Abstract:

The methodology of the researchers was to build experimental prototype learning systems they wanted to develop a prototype of an enhanced neuronsynapse chip using some ideas that they have gained from existing chips, develop a prototype VME based experimental platform for the above devices, write experimental prototype system software to run the above prototype boards and chips as co-processors for typical computer system such as a SUN4 and develop new algorithms to perform other types of learning suitable for prototype VLSI implementation. The following results were achieved System Level Hardware- redesigned prototype learning chips were fabricated, System Level Software- software modules to interface with their prototype system has has been written, Algorithms-theoretical and simulation experiments were carried out to gauge the efficiency of one-weight-at-a-time vs. parallel perturbations

Descriptors:

• *LEARNING MACHINES
• *CHIPS(ELECTRONICS)
• ALGORITHMS
• SOFTWARE ENGINEERING
• INTERFACES
• NERVE CELLS
• COMPUTER NETWORKS
• SYNAPSE
• PERTURBATIONS
• PROTOTYPES
• VERY LARGE SCALE INTEGRATION
• EXPERIMENTAL DESIGN
• EFFICIENCY

Subject Categories:

• Electrical and Electronic Equipment
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE