2 citations · 4 across the 5 of their papers we have counts for
5 papers
A nonclassical symbolic theory of working memory, mental computations, and mental set
Victor Eliashberg
The paper tackles four basic questions associated with human brain as a learning system. How can the brain learn to (1) mentally simulate different external memory aids, (2) perfor…
Concept of E-machine: How does a "dynamical" brain learn to process "symbolic" information? Part I
Victor Eliashberg
The human brain has many remarkable information processing characteristics that deeply puzzle scientists and engineers. Among the most important and the most intriguing of these ch…
What Is Working Memory and Mental Imagery? A Robot that Learns to Perform Mental Computations
Victor Eliashberg
This paper goes back to Turing (1936) and treats his machine as a cognitive model (W,D,B), where W is an "external world" represented by memory device (the tape divided into square…
Ensembles of Protein Molecules as Statistical Analog Computers
Victor Eliashberg
A class of analog computers built from large numbers of microscopic probabilistic machines is discussed. It is postulated that such computers are implemented in biological systems…
Can the whole brain be simpler than its "parts"?
Victor Eliashberg
This is the first in a series of connected papers discussing the problem of a dynamically reconfigurable universal learning neurocomputer that could serve as a computational model…