Towards brain-inspired computing

TL;DR

This paper explores brain-inspired computing using random spike trains and orthogonators to realize multivalued deterministic logic, aiming for fast, low-power, and environment-tolerant circuit design with neuro-bits in a multidimensional hyperspace.

Contribution

It introduces a novel logic scheme based on random pulse trains and orthogonators, enabling multivalued logic and neuro-bit hyperspace for improved computing performance.

Findings

Demonstrated 3D hyperspace bases using Gaussian noise sources.

Showed identical speed for hyperspace basis elements with correlated noise.

Proposed neuro-bit based logic for low power and environment tolerance.

Abstract

We present introductory considerations and analysis toward computing applications based on the recently introduced deterministic logic scheme with random spike (pulse) trains [Phys. Lett. A 373 (2009) 2338-2342]. Also, in considering the questions, "Why random?" and "Why pulses?", we show that the random pulse based scheme provides the advantages of realizing multivalued deterministic logic. Pulse trains are realized by an element called orthogonator. We discuss two different types of orthogonators, parallel (intersection-based) and serial (demultiplexer-based) orthogonators. The last one can be slower but it makes sequential logic design straightforward. We propose generating a multidimensional logic hyperspace [Physics Letters A 373 (2009) 1928-1934] by using the zero-crossing events of uncorrelated Gaussian electrical noises available in the chips. The spike trains in the hyperspace are non-overlapping, and are referred to as neuro-bits. To demonstrate this idea, we generate 3-dimensional hyperspace bases using 2 Gaussian noises as sources for neuro-bits, respectively. In such a scenario, the detection of different hyperspace basis elements may have vastly differing delays. We show that it is possible to provide an identical speed for all the hyperspace bases elements using correlated noise sources, and demonstrate this for the 2 neuro-bits situations. The key impact of this paper is to demonstrate that a logic design approach using such neuro-bits can yield a fast, low power processing and environmental variation tolerant means of designing computer circuitry. It also enables the realization of multi-valued logic, significantly increasing the complexity of computer circuits by allowing several neuro-bits to be transmitted on a single wire.