TY - GEN
T1 - Firing rate adaptation without losing sensitivity to input fluctuations
AU - La Camera, Giancarlo
AU - Rauch, Alexander
AU - Senn, Walter
AU - Lüscher, Hans R.
AU - Fusi, Stefano
PY - 2002
Y1 - 2002
N2 - Spike frequency adaptation is an important cellular mechanism by which neocortical neurons accommodate their responses to transient, as well as sustained, stimulations. This can be quantified by the slope reduction in the f-I curves due to adaptation. When the neuron is driven by a noisy, in vivo-like current, adaptation might also affect the sensitivity to the fluctuations of the input. We investigate how adaptation, due to calcium-dependent potassium current, affects the dynamics of the depolarization, as well as the stationary f-I curves of a white noise driven, integrate-and-fire model neuron. In addition to decreasing the slope of the f-I curves, adaptation of this type preserves the sensitivity of the neuron to the fluctuations of the input
AB - Spike frequency adaptation is an important cellular mechanism by which neocortical neurons accommodate their responses to transient, as well as sustained, stimulations. This can be quantified by the slope reduction in the f-I curves due to adaptation. When the neuron is driven by a noisy, in vivo-like current, adaptation might also affect the sensitivity to the fluctuations of the input. We investigate how adaptation, due to calcium-dependent potassium current, affects the dynamics of the depolarization, as well as the stationary f-I curves of a white noise driven, integrate-and-fire model neuron. In addition to decreasing the slope of the f-I curves, adaptation of this type preserves the sensitivity of the neuron to the fluctuations of the input
UR - https://www.scopus.com/pages/publications/84902141093
U2 - 10.1007/3-540-46084-5_30
DO - 10.1007/3-540-46084-5_30
M3 - Conference contribution
AN - SCOPUS:84902141093
SN - 9783540440741
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 180
EP - 185
BT - Artificial Neural Networks, ICANN 2002 - International Conference, Proceedings
A2 - Dorronsoro, Jose R.
A2 - Dorronsoro, Jose R.
PB - Springer Verlag
T2 - 2002 International Conference on Artificial Neural Networks, ICANN 2002
Y2 - 28 August 2002 through 30 August 2002
ER -