The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons
Abstract
1. In neocortical slices, the majority of neurons fire quite regularly in response to constant current injections. But neurons in the intact animal fire irregularly in response to constant current injection as well as to visual stimuli. 2. To quantify this observation, we developed a new measure of variability, which compares only adjacent interspike intervals and is therefore less sensitive to rate variations than existing measures such as the coefficient of variation of interspike intervals. 3. We find that the variability of firing is much higher in cells of primary visual cortex in the anesthetized cat than in slice. The response to current injected from an intracellular electrode in vivo is also variable, but slightly more regular and less bursty than in response to visual stimuli. 4. Using a new technique for analyzing the variability of integrate-and-fire neurons, we prove that this behavior is consistent with a simple integrate-and-fire model receiving a large amount of synaptic background activity, but not with a noisy spiking mechanism.
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Citations
Cites
Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
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Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689
Self-citationIntrinsic firing patterns of diverse neocortical neurons
Connors, B. W., & Gutnick, M. J. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90185-d · Cited by 1,448
Noise, neural codes and cortical organization
Shadlen, M. N., & Newsome, W. T. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90059-0 · Cited by 1,252
Electrophysiological properties of neocortical neurons in vitro
Connors, B. W., Gutnick, M. J., & Prince, D. A. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.6.1302 · Cited by 935
A Theoretical Analysis of Neuronal Variability
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Dynamics of Encoding in a Population of Neurons
Knight, B. W. (1972) · The Journal of General Physiology · doi:10.1085/jgp.59.6.734 · Cited by 709
Some Models of Neuronal Variability
Stein, R. B. (1967) · Biophysical Journal · doi:10.1016/s0006-3495(67)86574-3 · Cited by 487
Statistical Analysis and Functional Interpretation of Neuronal Spike Data
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Synaptic noise and other sources of randomness in motoneuron interspike intervals.
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Cited by
The high-conductance state of neocortical neurons in vivo
Destexhe, A., Rudolph, M., & Paré, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1198 · Cited by 1,073
Gain Modulation from Background Synaptic Input
Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846
Chaotic Balanced State in a Model of Cortical Circuits
Vreeswijk, C. V., & Sompolinsky, H. (1998) · Neural Computation · doi:10.1162/089976698300017214 · Cited by 732
Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.
Holmgren, C., Harkany, T., Svennenfors, B., & Zilberter, Y. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.044784 · Cited by 573
Metadata
- Authors
- Holt, G. R., Softky, W. R., Koch, C., & Douglas, R. J.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1996-05-01
- Volume
- 75
- Issue
- 5
- Pages
- 1806-1814
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1841807818
- Cited by
- 526
- References
- 32
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Holt, G. R., Softky, W. R., Koch, C., & Douglas, R. J. (1996). Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. Journal of Neurophysiology. https://doi.org/10.1152/jn.1996.75.5.1806
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
