The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
Abstract
It has been proposed that cortical neurons organize dynamically into functional groups (cell assemblies) by the temporal structure of their joint spiking activity. Here, we describe a novel method to detect conspicuous patterns of coincident joint spike activity among simultaneously recorded single neurons. The statistical significance of these unitary events of coincident joint spike activity is evaluated by the joint-surprise. The method is tested and calibrated on the basis of simulated, stationary spike trains of independently firing neurons, into which coincident joint spike events were inserted under controlled conditions. The sensitivity and specificity of the method are investigated for their dependence on physiological parameters (firing rate, coincidence precision, coincidence pattern complexity) and temporal resolution of the analysis. In the companion article in this issue, we describe an extension of the method, designed to deal with nonstationary firing rates.
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Cites
Ferrier lecture. Functional architecture of macaque monkey visual cortex
Hubel, D. H., & Wiesel, T. N. (1977) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1977.0085 · Cited by 2,608
Synchronization of cortical activity and its putative role in information processing and learning
Singer, W. (1993) · Annual Review of Physiology · doi:10.1146/annurev.ph.55.030193.002025 · Cited by 1,685
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
Nádasdy, Z., Hirase, H., Czurkó, A., Csicsvari, J., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09497.1999 · Cited by 932
Spatiotemporal Structure of Cortical Activity: Properties and Behavioral Relevance
Prut, Y., Vaadia, E., Bergman, H., Haalman, I., Slovin, H., & Abeles, M. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2857 · Cited by 300
Cited by
Weak pairwise correlations imply strongly correlated network states in a neural population
Schneidman, E., Berry, M. J., Segev, R., & Bialek, W. (2006) · Nature · doi:10.1038/nature04701 · Cited by 1,760
Neural synchrony in cortical networks: history, concept and current status
Uhlhaas, P. (2009) · Frontiers in Integrative Neuroscience · doi:10.3389/neuro.07.017.2009 · Cited by 758
Rewarded Outcomes Enhance Reactivation of Experience in the Hippocampus
Singer, A. C., & Frank, L. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.016 · Cited by 385
Data based identification and prediction of nonlinear and complex dynamical systems
Wang, W.-X., Lai, Y.-C., & Grebogi, C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.004 · Cited by 299
Lee, A. K., & Wilson, M. A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01030.2003 · Cited by 40
Metadata
- Authors
- Grün, S., Diesmann, M., & Aertsen, A.
- Venue
- Neural Computation
- Publisher
- MIT Press - Journals
- Published
- 2002-01-01
- Volume
- 14
- Issue
- 1
- Pages
- 43-80
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2164908099
- Cited by
- 219
- References
- 4
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- closed
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