Spatio-Temporal Patterns

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 7)


Precise time relations among spikes was reported by many authors and criticized by many. This chapter describes how such patterns may be detected and how to assess their statistical significance. The stress is on practical aspects of the methodology. The chapter illustrates examples of analysis of real data that were recorded in the cortex of behaving monkeys.


Point Process Spike Train Premotor Cortex Fano Factor Neurosci Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Abeles M (1982) Local cortical circuits: an electrophysiological study. Springer, Berlin Google Scholar
  2. Abeles M (1983) The quantification and graphic display of correlation among three spike trains. IEEE Trans BME 30:235–239 CrossRefGoogle Scholar
  3. Abeles M, Gerstein J (1988) Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. J Neurophysiol 60:909–924 PubMedGoogle Scholar
  4. Abeles M, Gat I (2001) Detecting precise firing sequences in experimental data. J Neurosci Methods 107:141–154 CrossRefPubMedGoogle Scholar
  5. Baker S, Lemon RN (2000) Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance level. J Neurophysiol 84:1770–1780 PubMedGoogle Scholar
  6. Brillinger DR (1975) Statistical inference for stationary point processes. In: Puri ML (ed) Stochastic processes and related topics. Proceedings of the summer research institute on statistical inference for stochastic processes. New York, Academic Press, pp 55–99 Google Scholar
  7. Cox DR, Isham V (1980) Point processes. Chapman and Hall, London Google Scholar
  8. Dayhoff J, Gerstein GL (1983) Favored patterns in spike trains. II. Application. J Neurophysiol 49:1349–1363 PubMedGoogle Scholar
  9. Eckhorn R, Bauer R, Jordan W, Brosch M, Kruse W, Munk M, Reitboeck HJ (1988) Coherent oscillations: a mechanism of feature linking in the visual cortex? Multiple electrode and correlation analyses in the cat. Biol Cybern 60:121–130 CrossRefPubMedGoogle Scholar
  10. Fisher RA (1932) Statistical methods for research workers, 4th edn. Oliver and Boyd, London Google Scholar
  11. Gray CM, Singer W (1989) Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc Natl Acad Sci USA 86:1698–1989 CrossRefPubMedGoogle Scholar
  12. Grün S, Diesmann M, Grammont F, Riehle A, Aertsen A (1999) Detecting unitary events without discretization of time. J Neurosci Methods 94:67–79 CrossRefPubMedGoogle Scholar
  13. Hatsopoulos N, Geman S, Amarasingham A, Bienenstock E (2003) At what time scale does the nervous system operate?. Neurocomp 52–54:25–29 CrossRefGoogle Scholar
  14. Klemm WR, Sherry CJ (1981) Serial ordering in spike trains: what’s it “trying to tell us”? Int J Neurosci 14:15–23 CrossRefPubMedGoogle Scholar
  15. Landolt J, Reinis S, Weiss D (1985) Identification of local neuronal circuits in the visual cortex of the cat. Soc Neurosci Abstr 11:1010 Google Scholar
  16. Legendy C, Salckman M (1985) Bursts and recurrences of bursts in the spike trains of spontaneously active striate cortex neurons. J Neurophysiol 53:926–939 PubMedGoogle Scholar
  17. Maldonado P, Babul C, Singer W, Rodriguez E, Berger D, Grün S (2008) Synchronization of neuronal responses in primary visual cortex of monkeys viewing natural images. J Neurophysiol 100:1523–1532 CrossRefPubMedGoogle Scholar
  18. Oram MW, Wiener MC, Lestienne R, Richmond BJ (1999) Stochastic nature of precisely timed spike patterns in visual system neuronal responses. J Neurophysiol 82:3021–3033 Google Scholar
  19. Pearson ES (1950) On questions raised by the combination of tests based on discontinuous distributions. Biometrika 37:383–398 PubMedGoogle Scholar
  20. Schrader S, Grün S, Diesmann M, Gerstein G (2008) Detecting synfire chain activity using massively parallel spike train recording. J Neurophysiol 100:2165–2176 CrossRefPubMedGoogle Scholar
  21. Shmiel T, Drori R, Shmiel O, Ben-Shaul Y, Nadasdy Z, Shemesh M, Teicher M, Abeles M (2006) Temporally precise cortical firing patterns are associated with distinct action segments. J Neurophysiol 96:2645–2652 CrossRefPubMedGoogle Scholar
  22. Stark E, Abeles M (2009) Unbiased estimation of precise temporal correlations between spike trains. J Neurosci Methods 179(1):90–100 CrossRefPubMedGoogle Scholar
  23. Tetko IV, Villa AEP (2001) A patterns grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. Detection of repeated patterns. J Neurosci Methods 105:1–14 CrossRefPubMedGoogle Scholar
  24. Thomson AM, Lamy C (2009) Functional maps of neocortical local circuitry. Front Neurosci 1:19–42 CrossRefGoogle Scholar
  25. Toyama K, Kimura M, Tanaka K (1981) Cross-correlation analysis of interneuronal connectivity in cat visual cortex. J Neurophysiol 46:191–201 PubMedGoogle Scholar
  26. Villa AEP, Tetko IV, Hyland B, Najem A (1999) Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task. Proc Natl Acad Sci USA 96:1106–1111 CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.The Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research CenterBar-Ilan UniversityRamat-GanIsrael

Personalised recommendations