Stemmler, Martin and Koch, Christof (1999) How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate. Nature Neuroscience, 2 (6). pp. 521-527. ISSN 1097-6256. http://resolver.caltech.edu/CaltechAUTHORS:20150513-121259771
Full text is not posted in this repository. Consult Related URLs below.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20150513-121259771
Information from the senses must be compressed into the limited range of responses that spiking neurons can generate. For optimal compression, the neuron's response should match the statistics of stimuli encountered in nature. Given a maximum firing rate, a nerve cell should learn to use each available firing rate equally often. Given a set mean firing rate, it should self-organize to respond with high firing rates only to comparatively rare events. Here we derive an unsupervised learning rule that continuously adapts membrane conductances of a Hodgkin-Huxley model neuron to optimize the representation of sensory information in the firing rate. Maximizing information transfer between the stimulus and the cell's firing rate can be interpreted as a non-Hebbian developmental mechanism.
|Additional Information:||© 1999 Nature America Inc. Received 3 December 1998; Accepted 31 March 1999. This work was supported by the Alexander v. Humboldt Foundation, the Howard Hughes Medical Institute, the Deutsche Forschungsgemeinschaft, NIMH, ONR, NSF and the NSF-ERC Program at Caltech and was carried out in part at Caltech. We thank V. Lucic, F. Gabbiani, D. Schmitz and R. Stemmler for comments on the manuscript.|
|Group:||KLAB, Koch Laboratory|
|Official Citation:||Stemmler, M., & Koch, C. (1999). How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate. [10.1038/9173]. Nat Neurosci, 2(6), 521-527.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Joanne McCole|
|Deposited On:||13 May 2015 19:32|
|Last Modified:||13 May 2015 19:32|
Repository Staff Only: item control page