Preference of Sensory Neural Coding forSignals
- 18 March 2005
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review Letters
- Vol. 94 (10) , 108103
- https://doi.org/10.1103/physrevlett.94.108103
Abstract
We investigated the influences of different types of temporal correlations in the input signal on the functions and coding properties of neurons in the primary visual cortex (V1). We found that the temporal transfer functions of V1 neurons exhibit higher gain, and the spike responses exhibit higher coding efficiency and information transmission rates, for the (natural long-term correlation) signals than for (no correlation) and (stronger long-term correlation) signals. These results suggest that the intermediate long-term correlation ubiquitous to natural signals may play an important role in shaping and optimizing the machinery of neurons in their adaptation to the natural environment.
Keywords
This publication has 22 references indexed in Scilit:
- Natural Stimulus Statistics Alter the Receptive Field Structure of V1 NeuronsJournal of Neuroscience, 2004
- Vision and the statistics of the visual environmentCurrent Opinion in Neurobiology, 2003
- Neural coding of naturalistic motion stimuliNetwork: Computation in Neural Systems, 2001
- Input synchrony and the irregular firing of cortical neuronsNature Neuroscience, 1998
- Responses of neurons in primary and inferior temporal visual cortices to natural scenesProceedings Of The Royal Society B-Biological Sciences, 1997
- Processing of natural time series of intensities by the visual system of the blowflyVision Research, 1997
- Efficient Coding of Natural Scenes in the Lateral Geniculate Nucleus: Experimental Test of a Computational TheoryJournal of Neuroscience, 1996
- Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferentsProceedings Of The Royal Society B-Biological Sciences, 1995
- Markov-dependency and spectral analyses on spike-counts in mesencephalic reticular neurons during sleep and attentive statesBrain Research, 1986
- ‘1/fnoise’ in music and speechNature, 1975