Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

October 1, 1998, Vol. 10, No. 7, Pages 1721-1729
(doi: 10.1162/089976698300017106)
© 1998 Massachusetts Institute of Technology
Linearization of F-I Curves by Adaptation
Article PDF (82.64 KB)
Abstract

We show that negative feedback to highly nonlinear frequency-current (F-I) curves results in an effective linearization. (By highly nonlinear we mean that the slope at threshold is infinite or very steep.) We then apply this to a specific model for spiking neurons and show that the details of the adaptation mechanism do not affect the results. The crucial points are that the adaptation is slow compared to other processes and the unadapted F-I curve is highly nonlinear.