NDLI: Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns

Content Provider	IEEE Xplore Digital Library
Author	Sanchez, J.C. Sung-Phil Kim Erdogmus, D. Rao, Y.N. Principe, J.C. Wessberg, J. Nicolelis, M.
Copyright Year	2002
Description	Author affiliation: Dept. of Biomed. Eng., Florida Univ., Gainesville, FL, USA (Sanchez, J.C.)
Abstract	Linear and nonlinear (TDNN) models have been shown to estimate hand position using populations of action potentials collected in the pre-motor and motor cortical areas of a primate's brain. One of the applications of this discovery is to restore movement in patients suffering from paralysis. For real-time implementation of this technology, reliable and accurate signal processing models that produce small error variance in the estimated positions are required. In this paper, we compare the mapping performance of the FIR filter, gamma filter and recurrent neural network (RNN) in the peaks of reaching movements. Each approach has strengths and weaknesses that are compared experimentally. The RNN approach shows very accurate peak position estimations with small error variance.
Sponsorship	IEEE Signal Process. Soc. IEEE Neural Network Council Swiss Nat. Sci. Found
Starting Page	139
Ending Page	148
File Size	411005
Page Count	10
File Format	PDF
ISBN	0780376161
DOI	10.1109/NNSP.2002.1030025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trajectory Finite impulse response filter Nonlinear filters Recurrent neural networks Neurons Biological system modeling Delay effects Electrodes Predictive models Delay estimation
Content Type	Text
Resource Type	Article

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Input-Output Mapping Performance of Linear and Nonlinear Models for Estimating Hand Trajectories from Cortical Neuronal Firing Patterns," presented at (2002)

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