A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation

@article{Berger2012AHC,
  title={A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation},
  author={T. W. Berger and Dong Song and R. H. M. Chan and V. Z. Marmarelis and J. Lacoss and Jack D Wills and Robert E. Hampson and Sam A. Deadwyler and John J. Granacki},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2012},
  volume={20},
  pages={198-211}
}
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… CONTINUE READING
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