Journal
NEURAL NETWORKS
Volume 22, Issue 9, Pages 1340-1351Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2009.05.004
Keywords
Hippocampus; Spike; Spatio-temporal pattern; Volterra kernel; Feedback; Multiple-input multiple-output system
Funding
- National Science Foundation (NSF)
- Human-Assisted Neural Devices (HAND)
- National Institutes of Health (NIH)
- National Institute of Biomedical Imaging and BioEngineering (NIBIB)
- University of Southern California
Ask authors/readers for more resources
Developing a neural prosthesis for the damaged hippocampus requires restoring the transformation of population neural activities performed by the hippocampal circuitry. To bypass a damaged region, output spike trains need to be predicted from the input spike trains and then reinstated through stimulation We formulate a multiple-input, multiple-output (MIMO) nonlinear dynamic model for the input-output transformation of spike trains. In this approach, a MIMO model comprises a series of physiologically-plausible multiple-input, single-output (MISO) neuron models that consist of five components each: (1) feedforward Volterra kernels transforming the input spike trains into the synaptic potential,(2) a feedback kernel transforming the output spikes into the spike-triggered after-potential, (3) a noise term capturing the system uncertainty, (4) an adder generating the pre-threshold potential, and (5) a threshold function generating output spikes. It is shown that this model is equivalent to a generalized linear model with a probit link function. To reduce model complexity and avoid overfitting, statistical model selection and cross-validation methods are employed to choose the significant inputs and interactions between inputs. The model is applied successfully to the hippocampal CA3-CA1 population dynamics Such a model can serve as a Computational basis for the development of hippocampal prostheses. (C) 2009 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available