TY - GEN
T1 - What can a single neuron compute?
AU - Areas, Blaise Agüera Y.
AU - Fairhall, Adrienne L.
AU - Bialek, William
PY - 2001
Y1 - 2001
N2 - In this paper we formulate a description of the computation performed by a neuron as a combination of dimensional reduction and nonlinearity. We implement this description for the Hodgkin-Huxley model, identify the most relevant dimensions and find the nonlinearity. A two dimensional description already captures a significant fraction of the information that spikes carry about dynamic inputs. This description also shows that computation in the Hodgkin-Huxley model is more complex than a simple integrate-and-fire or perceptron model.
AB - In this paper we formulate a description of the computation performed by a neuron as a combination of dimensional reduction and nonlinearity. We implement this description for the Hodgkin-Huxley model, identify the most relevant dimensions and find the nonlinearity. A two dimensional description already captures a significant fraction of the information that spikes carry about dynamic inputs. This description also shows that computation in the Hodgkin-Huxley model is more complex than a simple integrate-and-fire or perceptron model.
UR - http://www.scopus.com/inward/record.url?scp=84899015752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899015752&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84899015752
SN - 0262122413
SN - 9780262122412
T3 - Advances in Neural Information Processing Systems
BT - Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000
PB - Neural information processing systems foundation
T2 - 14th Annual Neural Information Processing Systems Conference, NIPS 2000
Y2 - 27 November 2000 through 2 December 2000
ER -