Responses of neurons in primary and inferior temporal visual cortices to natural scenes
- 22 December 1997
- journal article
- research article
- Published by The Royal Society in Proceedings Of The Royal Society B-Biological Sciences
- Vol. 264 (1389) , 1775-1783
- https://doi.org/10.1098/rspb.1997.0246
Abstract
The primary visual cortex (V1) is the first cortical area to receive visual input, and inferior temporal (IT) areas are among the last along the ventral visual pathway. We recorded, in area V1 of anaesthetized cats and area IT of awake macaque monkeys, responses of neurons to videos of natural scenes. Responses were analysed to test various hypotheses concerning the nature of neural coding in these two regions. A variety of spike–train statistics were measured including spike–count distributions, interspike interval distributions, coefficients of variation, power spectra, Fano factors and different sparseness measures. All statistics showed non–Poisson characteristics and several revealed self–similarity of the spike trains. Spike–count distributions were approximately exponential in both visual areas for eight different videos and for counting windows ranging from 50 ms to 5 s. The results suggest that the neurons maximize their information carrying capacity while maintaining a fixed long–term–average firing rate, or equivalently, minimize their average firing rate for a fixed information carrying capacity.Keywords
This publication has 30 references indexed in Scilit:
- Fractal character of the neural spike train in the visual system of the catJournal of the Optical Society of America A, 1997
- Competition for brain spaceNature, 1996
- An efficient code in V1?Nature, 1996
- Optimization principles for the neural codeNetwork: Computation in Neural Systems, 1996
- Development of low entropy coding in a recurrent networkNetwork: Computation in Neural Systems, 1996
- Auditory Temporal Integration: What Is Being Accumulated?Current Directions in Psychological Science, 1996
- Temporal correlation in cat striate-cortex neural spike trainsIEEE Engineering in Medicine and Biology Magazine, 1996
- Real and optimal neural images in early visionNature, 1992
- A statistical analysis of natural images matches psychophysically derived orientation tuning curvesProceedings Of The Royal Society B-Biological Sciences, 1991
- Scanning from coarse to fine spatial scales in the human visual system after the onset of a stimulusJournal of the Optical Society of America A, 1987