Literature DB >> 8734581

Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons.

G R Holt1, W R Softky, C Koch, R J Douglas.   

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.

Mesh:

Year:  1996        PMID: 8734581     DOI: 10.1152/jn.1996.75.5.1806

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  190 in total

1.  The control of rate and timing of spikes in the deep cerebellar nuclei by inhibition.

Authors:  V Gauck; D Jaeger
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

2.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

3.  Backpropagation of physiological spike trains in neocortical pyramidal neurons: implications for temporal coding in dendrites.

Authors:  S R Williams; G J Stuart
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

4.  Impact of correlated synaptic input on output firing rate and variability in simple neuronal models.

Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

5.  Fast propagation of firing rates through layered networks of noisy neurons.

Authors:  Mark C W van Rossum; Gina G Turrigiano; Sacha B Nelson
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

6.  Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron.

Authors:  Y H Liu; X J Wang
Journal:  J Comput Neurosci       Date:  2001 Jan-Feb       Impact factor: 1.621

7.  Stress enhances muscle nociceptor activity in the rat.

Authors:  X Chen; P G Green; J D Levine
Journal:  Neuroscience       Date:  2011-04-15       Impact factor: 3.590

8.  Tuning neocortical pyramidal neurons between integrators and coincidence detectors.

Authors:  Michael Rudolph; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

9.  Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.

Authors:  Carl Holmgren; Tibor Harkany; Björn Svennenfors; Yuri Zilberter
Journal:  J Physiol       Date:  2003-06-17       Impact factor: 5.182

10.  Cerebellar Purkinje cells control eye movements with a rapid rate code that is invariant to spike irregularity.

Authors:  Hannah L Payne; Ranran L French; Christine C Guo; Td Barbara Nguyen-Vu; Tiina Manninen; Jennifer L Raymond
Journal:  Elife       Date:  2019-05-03       Impact factor: 8.140

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