TY - GEN
T1 - Somatosensory feedback for brain-machine interfaces
T2 - 3rd International IEEE EMBS Conference on Neural Engineering
AU - Fridman, Gene Y.
AU - Blair, Hugh T.
AU - Blaisdell, Aaron P.
AU - Judy, Jack W.
PY - 2007/9/25
Y1 - 2007/9/25
N2 - A model that predicts psychophysical ability to discriminate electrical stimulation trains is presented. Our model is a leaky integrator, which operates based on the hypothesis that the perceived intensity of a stimulus train is a function of the total number of action potentials evoked over the volume of stimulated neurons. The model predictions are validated with our experimental results obtained from four Long Evans rats on a two-alternative behavioral task. The rats were stimulated in the whisker barrel cortex using frequency, amplitude, and duration modulation. Our results demonstrate that the rats generalized the perception of frequency, amplitude, and duration of stimulation, in a manner consistent with the model. The surprising finding of our work is that the model is able to accurately predict the psychophysical discrimination of intensity, without accounting for the neural network properties of the somatosensory cortex.
AB - A model that predicts psychophysical ability to discriminate electrical stimulation trains is presented. Our model is a leaky integrator, which operates based on the hypothesis that the perceived intensity of a stimulus train is a function of the total number of action potentials evoked over the volume of stimulated neurons. The model predictions are validated with our experimental results obtained from four Long Evans rats on a two-alternative behavioral task. The rats were stimulated in the whisker barrel cortex using frequency, amplitude, and duration modulation. Our results demonstrate that the rats generalized the perception of frequency, amplitude, and duration of stimulation, in a manner consistent with the model. The surprising finding of our work is that the model is able to accurately predict the psychophysical discrimination of intensity, without accounting for the neural network properties of the somatosensory cortex.
UR - http://www.scopus.com/inward/record.url?scp=34548803839&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548803839&partnerID=8YFLogxK
U2 - 10.1109/CNE.2007.369689
DO - 10.1109/CNE.2007.369689
M3 - Conference contribution
AN - SCOPUS:34548803839
SN - 1424407923
SN - 9781424407927
T3 - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
SP - 379
EP - 385
BT - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Y2 - 2 May 2007 through 5 May 2007
ER -