ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2012
A hippocampal cognitive prosthesis: multi-input, multi-output nonlinear modeling and VLSI implementation.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
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- Factors influencing the social acceptance of brain-computer interface technology among Chinese general public: an exploratory study.Frontiers in human neuroscience · 2024Article
- Nonlinear dynamical modeling of neural activity using volterra series with GA-enhanced particle swarm optimization algorithm.Cognitive neurodynamics · 2023Article
- Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network.Frontiers in computational neuroscience · 2023Review
- A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size.Neural computation · 2021Article
- The complement cascade at the Utah microelectrode-tissue interface.Biomaterials · 2021Article
- Plasticity and Adaptation in Neuromorphic Biohybrid Systems.iScience · 2020Review
- A comprehensive model-based framework for optimal design of biomimetic patterns of electrical stimulation for prosthetic sensation.Journal of neural engineering · 2020Article
- A compiler for biological networks on silicon chips.PLoS computational biology · 2020Article
- Delaying memory decline: different options and emerging solutions.Translational psychiatry · 2020Review
- Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions.PloS one · 2020Article
- Article
- Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems.Neural computation · 2019Article
- A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks.Frontiers in neuroscience · 2019Article
- Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018Article
- Integration of Nanobots Into Neural Circuits As a Future Therapy for Treating Neurodegenerative Disorders.Frontiers in neuroscience · 2018Article
- An FPGA Platform for Real-Time Simulation of Spiking Neuronal Networks.Frontiers in neuroscience · 2017Article
- Evolving Applications, Technological Challenges and Future Opportunities in Neuromodulation: Proceedings of the Fifth Annual Deep Brain Stimulation Think Tank.Frontiers in neuroscience · 2017Article
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9 authors.
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Abstract
This paper describes the development of a cognitive prosthesis designed to restore the ability to form new long-term memories typically lost after damage to the hippocampus. The animal model used is delayed nonmatch-to-sample (DNMS) behavior in the rat, and the "core" of the prosthesis is a biomimetic multi-input/multi-output (MIMO) nonlinear model that provides the capability for predicting spatio-temporal spike train output of hippocampus (CA1) based on spatio-temporal spike train inputs recorded presynaptically to CA1 (e.g., CA3). We demonstrate the capability of the MIMO model for highly accurate predictions of CA1 coded memories that can be made on a single-trial basis and in real-time. When hippocampal CA1 function is blocked and long-term memory formation is lost, successful DNMS behavior also is abolished. However, when MIMO model predictions are used to reinstate CA1 memory-related activity by driving spatio-temporal electrical stimulation of hippocampal output to mimic the patterns of activity observed in control conditions, successful DNMS behavior is restored. We also outline the design in very-large-scale integration for a hardware implementation of a 16-input, 16-output MIMO model, along with spike sorting, amplification, and other functions necessary for a total system, when coupled together with electrode arrays to record extracellularly from populations of hippocampal neurons, that can serve as a cognitive prosthesis in behaving animals.
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Registered trials
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