Efficiency and ambiguity in an adaptive neural code
Top Cited Papers
- 1 August 2001
- journal article
- Published by Springer Nature in Nature
- Vol. 412 (6849) , 787-792
- https://doi.org/10.1038/35090500
Abstract
We examine the dynamics of a neural code in the context of stimuli whose statistical properties are themselves evolving dynamically. Adaptation to these statistics occurs over a wide range of timescales-from tens of milliseconds to minutes. Rapid components of adaptation serve to optimize the information that action potentials carry about rapid stimulus variations within the local statistical ensemble, while changes in the rate and statistics of action-potential firing encode information about the ensemble itself, thus resolving potential ambiguities. The speed with which information is optimized and ambiguities are resolved approaches the physical limit imposed by statistical sampling and noise.Keywords
This publication has 35 references indexed in Scilit:
- Information Processing with Frequency-Dependent Synaptic ConnectionsNeurobiology of Learning and Memory, 1998
- Asymmetric Dynamics in Optimal Variance AdaptationNeural Computation, 1998
- Entropy and Information in Neural Spike TrainsPhysical Review Letters, 1998
- Adaptation of retinal processing to image contrast and spatial scaleNature, 1997
- The rate of information transfer at graded-potential synapsesNature, 1996
- Statistics of natural images: Scaling in the woodsPhysical Review Letters, 1994
- Reading a Neural CodeScience, 1991
- Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequencesProceedings of the Royal Society of London. B. Biological Sciences, 1988
- Distributed Relaxation Processes in Sensory AdaptationScience, 1974
- Some informational aspects of visual perception.Psychological Review, 1954