City Research Online

Abstract

We present the Bio-Silicon Intelligence System (BSIS), an innovative hybrid platform that integrates biological neural networks with silicon-based computing. The BSIS, a Physics-Informed Hybrid Hierarchical Reinforcement Learning State Machine, employs carbon nanotube-coated electrodes to interface rat brains with computational systems, enabling high-fidelity neural interfacing and bidirectional communication through self-organizing systems in both biological and silicon forms. Our system leverages both analogue and digital AI theory, incorporating concepts from computational theory, chaos theory, dynamical systems theory, physics, and quantum mechanics. Additionally, the BSIS replicates the neuronal dynamics typical of intelligent brain tissue, employing nonlinear operations underlying learning and information storage. Neural signals are read through the FreeEEG32 board and BrainFlow software, then features are extracted and mapped to game actions by tracking feature changes in continuous data. Metadata is encoded into both analogue and digital brain stimulation signals at the microvolt level using our proprietary software and hardware. The system employs a dual signaling approach for training the rat brain, incorporating a reward solution and sound as well as human-inaudible distress sounds. This paper details the design, theory, functionality, and technical specifications of the BSIS, highlighting its interdisciplinary approach and advanced technological integration.

Publication Type:	Other (Preprint)
Additional Information:	This article has been submitted to Symmetry by MDPI.
Publisher Keywords:	Carbon nanotube-coated electrodes; Bidirectional brain computer communication; Neurotechnology; Brain-computer interfaces (BCIs); Neural signal processing; Neural interfacing; Synthetic Biological Intelligence; Chaos Theory; Dynamical Systems Theory; Computational Theory
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics
Departments:	School of Health & Psychological Sciences School of Health & Psychological Sciences > Psychology
SWORD Depositor:	Symplectic Administrator

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