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The next leap in implantable neural interfaces requires technological advances in materials, devices, and computing paradigms. Holistic approaches integrating optical and electrical sensing modalities can overcome spatiotemporal resolution limits of neural sensing as well as open up new avenues for non-invasive neural recording. Integration of sensing, computation and memory on a single array can enable real-time processing of neural signals for compact, low-power and high-throughput brain machine interfaces. Following this vision, we develop transparent neural interfaces for multimodal recordings combining electrophysiology with high resolution optical imaging. We follow neuromorphic approaches for on-chip neural processing and computational co-design at the system level to develop minimally invasive neural interfaces.
Relevant references:
-Wilson M, Ramezani M, Kim J, Kuzum D. The Future of Holistic Neural Interfaces: 2D Materials, Neuromorphic Computing, and Computational Co-Design. IEEE International Electron Devices Meeting (IEDM), 2022
-Liu X, Terada S, Ramezani M, Kim JH, Lu Y, Grosmark A, Losonczy A, Kuzum D. E-Cannula reveals anatomical diversity in sharp-wave ripples as a driver for the recruitment of distinct hippocampal assemblies. Cell Reports. 4;41(1), 2022.
-Liu X, Ren C, Lu Y, Liu Y, Kim JH, Leutgeb S, Komiyama T, Kuzum D. Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical–hippocampal interactions. Nature neuroscience.;24(6):886-96, 2021.
-Shi Y, Ananthakrishnan A, Oh S, Liu X, Hota G, Cauwenberghs G, Kuzum D. A neuromorphic brain interface based on RRAM crossbar arrays for high throughput real-time spike sorting. IEEE transactions on electron devices. 69(4):2137-44, 2021.
-Liu X, Ren C, Huang Z, Wilson M, Kim JH, Lu Y, Ramezani M, Komiyama T, Kuzum D. Decoding of cortex-wide brain activity from local recordings of neural potentials. Journal of neural engineering. 18(6):066009, 2021.
Cellular imaging directly below one of the graphene electrodes
Neuroelectronics Lab
Department of Electrical and Computer Engineering
University of California San Diego
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