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Topological Quantum Switching enabled Neuroelectronic Synaptic Modulators for Brain Computer Interface.

Dani S AssiHongli HuangVaithinathan KarthikeyanVaskuri C S ThejaMaria Merlyne de SouzaVellaisamy A L Roy
Published in: Advanced materials (Deerfield Beach, Fla.) (2024)
Aging and genetic-related disorders in the human brain lead to impairment of daily cognitive functions. Due to their neural synaptic complexity and the current limits of knowledge, reversing these disorders remains a substantial challenge for Brain-Computer Interfaces (BCI). In this work, we provide a solution to potentially override aging and neurological disorder-related cognitive function loss in the human brain through the application of our quantum synaptic device. To illustrate this point, we design and develop a quantum topological insulator (QTI) Bi 2 Se 2 Te-based synaptic neuroelectronic device, where the electric field-induced tunable topological surface edge states and quantum switching properties make them a premier option for establishing artificial synaptic neuromodulation approaches. Leveraging these unique quantum synaptic properties, our developed synaptic device provides the capability to neuromodulate distorted neural signals, leading to the reversal of age-related disorders via BCI. With the synaptic neuroelectronic characteristics of our device, we demonstrate excellent efficacy in treating cognitive neural dysfunctions through modulated neuromorphic stimuli. As a proof of concept, we demonstrate real-time neuromodulation of electroencephalogram (EEG) deduced distorted event-related potentials (ERP) by modulation of our synaptic device array. This article is protected by copyright. All rights reserved.
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