Long-term decoding of arm movement using Spatial Distribution of Neural Patterns

Day to day variability and non-stationarity caused by changes in subject motivation, learning and behavior pose a challenge in using local field potentials (LFP) for practical Brain Computer Interfaces. Pattern recognition algorithms require that the features possess little to no variation from the training to test data. As such models developed on one day fail to represent the characteristics on the other day. This paper provides a solution in the form of adaptive spatial features. We propose an algorithm to capture the local spatial variability of LFP patterns and provide accurate long-term decoding. This algorithm achieved more than 95% decoding of eight movement directions two weeks after its initial training.

[1]  Reza Shadmehr,et al.  Sequential neural changes during motor learning in schizophrenia , 2008, Psychiatry Research: Neuroimaging.

[2]  A. P. Georgopoulos,et al.  Neuronal population coding of movement direction. , 1986, Science.

[3]  Winnie Jensen,et al.  On variability and use of rat primary motor cortex responses in behavioral task discrimination , 2006, Journal of neural engineering.

[4]  Ahmed H. Tewfik,et al.  Long-term movement tracking from Local Field Potentials with an adaptive open-loop decoder , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[5]  Leslie G. Ungerleider,et al.  Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning , 2003, Neuropsychologia.

[6]  George Eastman House,et al.  Sparse Bayesian Learning and the Relevan e Ve tor Ma hine , 2001 .

[7]  J.P. Donoghue,et al.  Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  J. Carmena,et al.  Emergence of a Stable Cortical Map for Neuroprosthetic Control , 2009, PLoS biology.

[9]  Bernhard Schölkopf,et al.  Kernel Dependency Estimation , 2002, NIPS.

[10]  Yali Amit,et al.  Single-unit stability using chronically implanted multielectrode arrays. , 2009, Journal of neurophysiology.

[11]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[12]  Michael J. Black,et al.  Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array , 2011 .

[13]  Howard Eichenbaum,et al.  Learning Causes Reorganization of Neuronal Firing Patterns to Represent Related Experiences within a Hippocampal Schema , 2013, The Journal of Neuroscience.

[14]  Ahmed H. Tewfik,et al.  Robust movement direction decoders from local field potentials using spatio-temporal qualitative patterns , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.