In the theory of context-sensitive associative memory (CSAM) described in [1, 2, 3, 4] a broad range of psychological phenomena of short-term memory (STM) and temporal context (mental set) can be naturally understood as implications of the states of " residual excitation " in neural elements. Such hypothetical states of analog dynamic memory were referred… (More)
A universal learning neurocomputer is a brain– inspired information processing system that can be taught to perform, in principle, an arbitrary algorithm (universal in Turing's sense). Conventional computers and universal Turing machines are examples of universal programmable systems. However, the process of programming these systems does not match our… (More)
A useful relationship between some associative neu-ral networks and programmable logic arrays (PLA) is discussed. The shown analogy helps to understand the properties of this class of neural networks as extensions of the properties of PLA's.
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 as ensembles of protein molecules. The formalism is based on an abstract computational model referred to as Protein Molecule Machine (PMM). A PMM is a continuous-time first-order… (More)
Turing's "Machines". These machines are humans who calculate. 1.0 Introduction 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 squares), and (D,B) is a simple robot that consists of the sensory-motor devices, D, and the brain, B. The… (More)
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) perform, in principle, any mental computations using imaginary memory aids, (3) recall the real sensory and motor events and synthesize a combinatorial number of imaginary events, (4)… (More)
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 characteristics are the brain's broad universality as a learning system and its mysterious ability to dynamically change (reconfigure) its behavior depending on a combinatorial… (More)
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 for the whole human brain. The whole series is entitled"The Brain Zero Project. My Brain as a Dynamically Reconfigurable Universal Learning Neurocomputer."(For more information… (More)