Literature DB >> 10490937

Correlations without synchrony

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Abstract

Peaks in spike train correlograms are usually taken as indicative of spike timing synchronization between neurons. Strictly speaking, however, a peak merely indicates that the two spike trains were not independent. Two biologically plausible ways of departing from independence that are capable of generating peaks very similar to spike timing peaks are described here: covariations over trials in response latency and covariations over trials in neuronal excitability. Since peaks due to these interactions can be similar to spike timing peaks, interpreting a correlogram may be a problem with ambiguous solutions. What peak shapes do latency or excitability interactions generate? When are they similar to spike timing peaks? When can they be ruled out from having caused an observed correlogram peak? These are the questions addressed here. The previous article in this issue proposes quantitative methods to tell cases apart when latency or excitability covariations cannot be ruled out.

Year:  1999        PMID: 10490937     DOI: 10.1162/089976699300016133

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  110 in total

1.  Changes in functional connectivity in orbitofrontal cortex and basolateral amygdala during learning and reversal training.

Authors:  G Schoenbaum; A A Chiba; M Gallagher
Journal:  J Neurosci       Date:  2000-07-01       Impact factor: 6.167

2.  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

3.  Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity.

Authors:  B S Gutkin; C R Laing; C L Colby; C C Chow; G B Ermentrout
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

4.  Stimulus encoding and feature extraction by multiple sensory neurons.

Authors:  Rüdiger Krahe; Gabriel Kreiman; Fabrizio Gabbiani; Christof Koch; Walter Metzner
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

5.  Precise burst synchrony in the superior colliculus of the awake cat during moving stimulus presentation.

Authors:  Q Pauluis; S N Baker; E Olivier
Journal:  J Neurosci       Date:  2001-01-15       Impact factor: 6.167

6.  Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study.

Authors:  J Kretzberg; M Egelhaaf; A K Warzecha
Journal:  J Comput Neurosci       Date:  2001 Jan-Feb       Impact factor: 1.621

Review 7.  Feed-forward synchronization: propagation of temporal patterns along the retinothalamocortical pathway.

Authors:  Sergio Neuenschwander; Miguel Castelo-Branco; Jerome Baron; Wolf Singer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

8.  Internal state of monkey primary visual cortex (V1) predicts figure-ground perception.

Authors:  Hans Supèr; Chris van der Togt; Henk Spekreijse; Victor A F Lamme
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

9.  No parallel fiber volleys in the cerebellar cortex: evidence from cross-correlation analysis between Purkinje cells in a computer model and in recordings from anesthetized rats.

Authors:  Dieter Jaeger
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

10.  A cross-species comparison of corticogeniculate structure and function.

Authors:  J Michael Hasse; Farran Briggs
Journal:  Vis Neurosci       Date:  2017-11-16       Impact factor: 3.241

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