Brain-implantable biomimetic electronics as the next era in neural prosthetics
- 1 July 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 89 (7), 993-1012
- https://doi.org/10.1109/5.939806
Abstract
An interdisciplinary multilaboratory effort to develop an implantable neural prosthetic that can coexist and bidirectionally communicate with living brain tissue is described. Although the final achievement of such such a goal is many years in the future, it is proposed that the path to an implantable prosthetic is now definable, allowing the problem to be solved in a rational, incremental manner. Outlined in this report is our collective progress in developing the underlying science and technology that will enable the functions of specific brain damaged regions to be replaced by multichip modules consisting of novel hybrid analog/digital microchips. The component microchips are "neurocomputational" incorporating experimentally based mathematical models of the nonlinear dynamic and adaptive properties of biological neurons and neural networks. The hardware developed to date, although limited in capacity, can perform computations supporting cognitive functions such as pattern recognition, but more generally will support any brain function for which there is sufficient experimental information. To allow the "neurocomputational" multichip module to communicate with existing brain tissue, another novel microcircuitry element has been developed-silicon-based multielectrode arrays that are "neuromorphic," i.e., designed to conform to the region-specific cytoarchitecture of the brain, When the "neurocomputational" and "neuromorphic" components are fully integrated, our vision is that the resulting prosthetic, after intracranial implantation, will receive electrical impulses from targeted subregions of the the brain, process the information using the hardware model of that brain region, and communicate back to the functioning brain. The proposed prosthetic microchips also have been designed with parameters that can be optimized after implantation, allowing each prosthetic to adapt to a particular user/patient.Keywords
This publication has 45 references indexed in Scilit:
- Dynamic synapse: Harnessing the computing power of synaptic dynamicsNeurocomputing, 1999
- Modeling of nonlinear nonstationary dynamic systems with a novel class of artificial neural networksIEEE Transactions on Neural Networks, 1999
- ELECTRICAL AND CALCIUM SIGNALING IN DENDRITES OF HIPPOCAMPAL PYRAMIDAL NEURONSAnnual Review of Physiology, 1998
- Synaptic Plasticity and Learning and Memory: 15 Years of ProgressNeurobiology of Learning and Memory, 1998
- Volterra models and three-layer perceptronsIEEE Transactions on Neural Networks, 1997
- A biologically based model of functional properties of the hippocampusNeural Networks, 1994
- Instantaneous characterization of time varying nonlinear systems (neurophysiological responses)IEEE Transactions on Biomedical Engineering, 1992
- Cochlear ProstheticsAnnual Review of Neuroscience, 1990
- Cellular neural networks: applicationsIEEE Transactions on Circuits and Systems, 1988
- Restoration of grasping functions in quadriplegic patients by Functional Electrical Stimulation (FES)International Journal of Rehabilitation Research, 1987