PMID- 11316338
OWN - NLM
STAT- MEDLINE
DCOM- 20010726
LR  - 20191104
IS  - 0929-5313 (Print)
IS  - 0929-5313 (Linking)
VI  - 10
IP  - 1
DP  - 2001 Jan-Feb
TI  - Spike-frequency adaptation of a generalized leaky integrate-and-fire model 
      neuron.
PG  - 25-45
AB  - Although spike-frequency adaptation is a commonly observed property of neurons, 
      its functional implications are still poorly understood. In this work, using a 
      leaky integrate-and-fire neural model that includes a Ca2+-activated K+ current 
      (IAHP), we develop a quantitative theory of adaptation temporal dynamics and 
      compare our results with recent in vivo intracellular recordings from pyramidal 
      cells in the cat visual cortex. Experimentally testable relations between the 
      degree and the time constant of spike-frequency adaptation are predicted. We also 
      contrast the IAHP model with an alternative adaptation model based on a dynamical 
      firing threshold. Possible roles of adaptation in temporal computation are 
      explored, as a a time-delayed neuronal self-inhibition mechanism. Our results 
      include the following: (1) given the same firing rate, the variability of 
      interspike intervals (ISIs) is either reduced or enhanced by adaptation, 
      depending on whether the IAHP dynamics is fast or slow compared with the mean ISI 
      in the output spike train; (2) when the inputs are Poisson-distributed 
      (uncorrelated), adaptation generates temporal anticorrelation between ISIs, we 
      suggest that measurement of this negative correlation provides a probe to assess 
      the strength of IAHP in vivo; (3) the forward masking effect produced by the slow 
      dynamics of IAHP is nonlinear and effective at selecting the strongest input 
      among competing sources of input signals.
FAU - Liu, Y H
AU  - Liu YH
AD  - Volen Center for Complex Systems and Department of Physics, Brandeis University, 
      Waltham, MA 02454-9110, USA.
FAU - Wang, X J
AU  - Wang XJ
LA  - eng
GR  - MH53717-01/MH/NIMH NIH HHS/United States
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Research Support, U.S. Gov't, P.H.S.
PL  - United States
TA  - J Comput Neurosci
JT  - Journal of computational neuroscience
JID - 9439510
RN  - 0 (Potassium Channels)
RN  - SY7Q814VUP (Calcium)
SB  - IM
MH  - Action Potentials/physiology
MH  - Adaptation, Physiological/*physiology
MH  - Calcium/physiology
MH  - Differential Threshold
MH  - Electric Conductivity
MH  - *Models, Neurological
MH  - Neurons/*physiology
MH  - Potassium Channels/physiology
MH  - Reaction Time/physiology
MH  - Time Factors
EDAT- 2001/04/24 10:00
MHDA- 2001/07/28 10:01
CRDT- 2001/04/24 10:00
PHST- 2001/04/24 10:00 [pubmed]
PHST- 2001/07/28 10:01 [medline]
PHST- 2001/04/24 10:00 [entrez]
AID - 10.1023/a:1008916026143 [doi]
PST - ppublish
SO  - J Comput Neurosci. 2001 Jan-Feb;10(1):25-45. doi: 10.1023/a:1008916026143.