Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abeles M (1982) Local cortical circuits: an electrophysiological study. Springer, Berlin
Abeles M (1983) The quantification and graphic display of correlation among three spike trains. IEEE Trans BME 30:235–239
Abeles M, Gerstein J (1988) Detecting spatiotemporal firing patterns among simultaneously recorded single neurons. J Neurophysiol 60:909–924
Abeles M, Gat I (2001) Detecting precise firing sequences in experimental data. J Neurosci Methods 107:141–154
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
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
Cox DR, Isham V (1980) Point processes. Chapman and Hall, London
Dayhoff J, Gerstein GL (1983) Favored patterns in spike trains. II. Application. J Neurophysiol 49:1349–1363
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
Fisher RA (1932) Statistical methods for research workers, 4th edn. Oliver and Boyd, London
Gray CM, Singer W (1989) Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc Natl Acad Sci USA 86:1698–1989
Grün S, Diesmann M, Grammont F, Riehle A, Aertsen A (1999) Detecting unitary events without discretization of time. J Neurosci Methods 94:67–79
Hatsopoulos N, Geman S, Amarasingham A, Bienenstock E (2003) At what time scale does the nervous system operate?. Neurocomp 52–54:25–29
Klemm WR, Sherry CJ (1981) Serial ordering in spike trains: what’s it “trying to tell us”? Int J Neurosci 14:15–23
Landolt J, Reinis S, Weiss D (1985) Identification of local neuronal circuits in the visual cortex of the cat. Soc Neurosci Abstr 11:1010
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
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
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
Pearson ES (1950) On questions raised by the combination of tests based on discontinuous distributions. Biometrika 37:383–398
Schrader S, Grün S, Diesmann M, Gerstein G (2008) Detecting synfire chain activity using massively parallel spike train recording. J Neurophysiol 100:2165–2176
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
Stark E, Abeles M (2009) Unbiased estimation of precise temporal correlations between spike trains. J Neurosci Methods 179(1):90–100
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
Thomson AM, Lamy C (2009) Functional maps of neocortical local circuitry. Front Neurosci 1:19–42
Toyama K, Kimura M, Tanaka K (1981) Cross-correlation analysis of interneuronal connectivity in cat visual cortex. J Neurophysiol 46:191–201
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Abeles, M. (2010). Spatio-Temporal Patterns. In: Grün, S., Rotter, S. (eds) Analysis of Parallel Spike Trains. Springer Series in Computational Neuroscience, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5675-0_9
Download citation
DOI: https://doi.org/10.1007/978-1-4419-5675-0_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5674-3
Online ISBN: 978-1-4419-5675-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)