Document Detail

Reconstruction of hand movement trajectories from a dynamic ensemble of spiking motor cortical neurons.
MedLine Citation:
PMID:  17271180     Owner:  NLM     Status:  PubMed-not-MEDLINE    
One of the many challenges in long-term decoding from chronically implanted electrodes involves tracking changes in the firing properties of the neural ensemble while simultaneously reconstructing the desired signal. We provide an approach to this problem based on adaptive point process filtering. In particular, we construct a lock-step adaptive filter built upon stochastic models for: a) the receptive field parameters of individual neurons within the ensemble, b) the biological signal to be reconstructed, and c) the instantaneous likelihood of firing in each neuron given the current state of a) and b). We assessed the ability of this filter to maintain a good representation of movement information in a dynamic ensemble of primary motor neurons tuned to hand kinematics. We simulated a recording scenario for this ensemble, where neurons were continuously becoming lost to the recording device while recordings from other, previously unobserved neurons became available. We found that this adaptive decoding algorithm was able to maintain accurate estimates of hand direction, even after the entire neural population had been replaced multiple times, but that the hand velocity signal tended to degrade over long periods.
U Eden; W Truccolo; M Fellows; J Donoghue; E Brown
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  6     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2004  
Date Detail:
Created Date:  2007-02-02     Completed Date:  2007-09-20     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4017-20     Citation Subset:  -    
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