JN Miami Valley Hospital
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Neurophysiol 79: 2857-2874, 1998;
0022-3077/98 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Prut, Y.
Right arrow Articles by Abeles, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Prut, Y.
Right arrow Articles by Abeles, M.

The Journal of Neurophysiology Vol. 79 No. 6 June 1998, pp. 2857-2874
Copyright ©1998 The American Physiological Society

Spatiotemporal Structure of Cortical Activity: Properties and Behavioral Relevance

Yifat Prut1, 2, Eilon Vaadia1, Hagai Bergman1, Iris Haalman1, Hamutal Slovin1, and Moshe Abeles1

1 Department of Physiology, School of Medicine and the Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem 91120, Israel; and 2 Regional Primate Research Center, University of Washington, Seattle, Washington 98195

Prut, Yifat, Eilon Vaadia, Hagai Bergman, Iris Haalman, Hamutal Slovin, and Moshe Abeles. Spatiotemporal structure of cortical activity: properties and behavioral relevance. J. Neurophysiol. 79: 2857-2874, 1998. The study was designed to reveal occurrences of precise firing sequences (PFSs) in cortical activity and to test their behavioral relevance. Two monkeys were trained to perform a delayed-response paradigm and to open puzzle boxes. Extracellular activity was recorded from neurons in premotor and prefrontal areas with an array of six microelectrodes. An algorithm was developed to detect PFSs, defined as a set of three spikes and two intervals with a precision of ±1 ms repeating significantly more than expected by chance. The expected level of repetition was computed based on the firing rate and the pairwise correlation of the participating units, assuming a Poisson distribution of event counts. Accordingly, the search for PFSs was corrected for rate modulations. PFSs were found in 24/25 recording sessions. Most PFSs (76%) were composed of spikes of more than one unit but usually not more than two units (67%). The PFSs spanned hundreds of milliseconds, and the average interval between two events within the PFSs was 200 ms. No traces of periodic oscillations were found in the PFS intervals. The bins of the matrix that were defined as PFSs were isolated temporally: the spikes that generated PFSs were not associated with high-frequency bursts or rapid coherent rate fluctuations. A given PFS tended to be correlated with the animal's behavior. Furthermore, for 19% of the PFS pairs that shared the same unit composition, each member of the pair was associated with a different type of behavior. The PFSs often appeared in clusters that were associated with particular phases of the behavior. The firing rate of single units did not provide a full explanation for the timing and structure of these clusters. A reduced spike train (RST) was defined for each unit by taking all spikes of that unit that were part of any PFS. In 88% of the cases the degree of modulation of the RST was higher than that of the complete spike train. The results suggest that relevant information is carried by the fine temporal structure of cortical activity. A coding scheme that involves such temporal structures is rich and sufficiently flexible to facilitate a rapid organization of cortical neurons into functional groups. The results can be accounted for by the synfire chain model, which suggests that cortical activity is mediated by synchronous activation of neural groups in a reverberatory mode.




This article has been cited by other articles:


Home page
J. Neurosci.Home page
A. Roxin, V. Hakim, and N. Brunel
The Statistics of Repeating Patterns of Cortical Activity Can Be Reproduced by a Model Network of Stochastic Binary Neurons
J. Neurosci., October 15, 2008; 28(42): 10734 - 10745.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
S. Schrader, S. Grun, M. Diesmann, and G. L. Gerstein
Detecting Synfire Chain Activity Using Massively Parallel Spike Train Recording
J Neurophysiol, October 1, 2008; 100(4): 2165 - 2176.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
T. Tetzlaff, S. Rotter, E. Stark, M. Abeles, A. Aertsen, and M. Diesmann
Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
Neural Comput., September 1, 2008; 20(9): 2133 - 2184.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
A. Kumar, S. Rotter, and A. Aertsen
Conditions for Propagating Synchronous Spiking and Asynchronous Firing Rates in a Cortical Network Model
J. Neurosci., May 14, 2008; 28(20): 5268 - 5280.
[Abstract] [Full Text] [PDF]


Home page
Cereb CortexHome page
F. Pulvermuller and Y. Shtyrov
Spatiotemporal Signatures Of Large-Scale Synfire Chains for Speech Processing as Revealed by MEG
Cereb Cortex, May 5, 2008; (2008) bhn060v1.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
A. Tang, D. Jackson, J. Hobbs, W. Chen, J. L. Smith, H. Patel, A. Prieto, D. Petrusca, M. I. Grivich, A. Sher, et al.
A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro
J. Neurosci., January 9, 2008; 28(2): 505 - 518.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. N. D. Kerr, C. P. J. de Kock, D. S. Greenberg, R. M. Bruno, B. Sakmann, and F. Helmchen
Spatial Organization of Neuronal Population Responses in Layer 2/3 of Rat Barrel Cortex
J. Neurosci., November 28, 2007; 27(48): 13316 - 13328.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
K. Hamaguchi, M. Okada, and K. Aihara
Variable timescales of repeated spike patterns in synfire chain with mexican-hat connectivity.
Neural Comput., September 1, 2007; 19(9): 2468 - 2491.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
A. Roy, P. N. Steinmetz, S. S. Hsiao, K. O. Johnson, and E. Niebur
Synchrony: A Neural Correlate of Somatosensory Attention
J Neurophysiol, September 1, 2007; 98(3): 1645 - 1661.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
C. M. Gray, B. Goodell, and A. Lear
Multichannel Micromanipulator and Chamber System for Recording Multineuronal Activity in Alert, Non-Human Primates
J Neurophysiol, July 1, 2007; 98(1): 527 - 536.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
A. Luczak, P. Bartho, S. L. Marguet, G. Buzsaki, and K. D. Harris
Sequential structure of neocortical spontaneous activity in vivo
PNAS, January 2, 2007; 104(1): 347 - 352.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
T. Shmiel, R. Drori, O. Shmiel, Y. Ben-Shaul, Z. Nadasdy, M. Shemesh, M. Teicher, and M. Abeles
Temporally Precise Cortical Firing Patterns Are Associated With Distinct Action Segments
J Neurophysiol, November 1, 2006; 96(5): 2645 - 2652.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
H. Nakahara, S.-i. Amari, and B. J. Richmond
A comparison of descriptive models of a single spike train by information-geometric measure.
Neural Comput., March 1, 2006; 18(3): 545 - 568.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. J. Rosen and R. Mooney
Synaptic Interactions Underlying Song-Selectivity in the Avian Nucleus HVC Revealed by Dual Intracellular Recordings
J Neurophysiol, February 1, 2006; 95(2): 1158 - 1175.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
B. S. Gutkin, G. B. Ermentrout, and A. D. Reyes
Phase-Response Curves Give the Responses of Neurons to Transient Inputs
J Neurophysiol, August 1, 2005; 94(2): 1623 - 1635.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
G. Czanner, S. Grun, and S. Iyengar
Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods
Neural Comput., July 1, 2005; 17(7): 1456 - 1479.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
E. M. Izhikevich
Polychronization: Computation with Spikes
Neural Comput., February 1, 2005; 18(2): 245 - 282.
[Abstract] [Full Text] [PDF]


Home page
Cereb CortexHome page
E. M. Izhikevich, J. A. Gally, and G. M. Edelman
Spike-timing Dynamics of Neuronal Groups
Cereb Cortex, August 1, 2004; 14(8): 933 - 944.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
K. Kitano and T. Fukai
Temporal Characteristics of the Predictive Synchronous Firing Modeled by Spike-Timing-Dependent Plasticity
Learn. Mem., May 1, 2004; 11(3): 267 - 276.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J.-M. Fellous, P. H. E. Tiesinga, P. J. Thomas, and T. J. Sejnowski
Discovering Spike Patterns in Neuronal Responses
J. Neurosci., March 24, 2004; 24(12): 2989 - 3001.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
N. Masuda and K. Aihara
Ergodicity of Spike Trains: When Does Trial Averaging Make Sense?
Neural Comput., June 1, 2003; 15(6): 1341 - 1372.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
H. Nakahara and S.-i. Amari
Information-Geometric Measure for Neural Spikes
Neural Comput., October 1, 2002; 14(10): 2269 - 2316.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
S. Grun, M. Diesmann, and A. Aertsen
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
Neural Comput., January 1, 2002; 14(1): 43 - 80.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
S. Grun, M. Diesmann, and A. Aertsen
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data
Neural Comput., January 1, 2002; 14(1): 81 - 119.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
R. Gutig, A. Aertsen, and S. Rotter
Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics
Neural Comput., January 1, 2002; 14(1): 121 - 153.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
B. Feige, A. Aertsen, and R. Kristeva-Feige
Dynamic Synchronization Between Multiple Cortical Motor Areas and Muscle Activity in Phasic Voluntary Movements
J Neurophysiol, November 1, 2000; 84(5): 2622 - 2629.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
L. Martignon, G. Deco, K. Laskey, M. Diamond, W. Freiwald, and E. Vaadia
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
Neural Comput., November 1, 2000; 12(11): 2621 - 2653.
[Abstract] [Full Text]


Home page
ScienceHome page
A. S. Dave and D. Margoliash
Song Replay During Sleep and Computational Rules for Sensorimotor Vocal Learning
Science, October 27, 2000; 290(5492): 812 - 816.
[Abstract] [Full Text]


Home page
J. Neurophysiol.Home page
S. N. Baker and R. N. Lemon
Precise Spatiotemporal Repeating Patterns in Monkey Primary and Supplementary Motor Areas Occur at Chance Levels
J Neurophysiol, October 1, 2000; 84(4): 1770 - 1780.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
E. Y. Chang, K. F. Morris, R. Shannon, and B. G. Lindsey
Repeated Sequences of Interspike Intervals in Baroresponsive Respiratory Related Neuronal Assemblies of the Cat Brain Stem
J Neurophysiol, September 1, 2000; 84(3): 1136 - 1148.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. W. Oram, M. C. Wiener, R. Lestienne, and B. J. Richmond
Stochastic Nature of Precisely Timed Spike Patterns in Visual System Neuronal Responses
J Neurophysiol, June 1, 1999; 81(6): 3021 - 3033.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
R. C. deCharms
Information coding in the cortex by independent or coordinated populations
PNAS, December 22, 1998; 95(26): 15166 - 15168.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online