Topological quantum switching enabled neuroelectronic synaptic modulators for brain computer interface

Assi, D. S., Huang, H., Karthikeyan, V. , Theja, V. C.S., Merlyne de Souza, M. and Roy, V. A.L. (2024) Topological quantum switching enabled neuroelectronic synaptic modulators for brain computer interface. Advanced Materials, (doi: 10.1002/adma.202306254) (Early Online Publication)

Abstract

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) Bi2Se2Te-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.

• Item Type: Articles
• Additional Information: We gratefully acknowledge support from the EPSRC under the “New Horizons” call Grand no: EP/X016846/1.
• Keywords: Synaptic dynamics, neuromodulation, brain-computer interface, bioelectronics.
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Karthikeyan, Dr Vaithinathan and Huang, Hongli

Creator Roles

Karthikeyan, V.: Conceptualization, Methodology, Visualization, Formal analysis, Writing – original draft
Huang, H.: Software, Resources, Data curation

• Authors: Assi, D. S., Huang, H., Karthikeyan, V., Theja, V. C.S., Merlyne de Souza, M., and Roy, V. A.L.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering
• Journal Name: Advanced Materials
• Publisher: Wiley
• ISSN: 0935-9648
• ISSN (Online): 1521-4095
• Published Online: 26 March 2024
• First Published: First published in Advanced Materials 2024
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher