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The brain is composed of billions of neurons, the elementary units of neuronal information processing. The neocortex, which is critical to most higher brain functions, is a highly complex network of neurons each of which receives signals from thousands of other neurons and projects its own output via sequences of spikes (“Spike Train”) to thousands of other neurons (Braitenberg and Schüz 2009). In order to observe neuronal activity in the active brain, a large variety of recording techniques are being employed, ranging from recordings of individual neurons (intra- or extracellularly), to recordings of neuronal populations on mesoscopic or macroscopic scales. Any particular choice of the recording technique reflects the hypothesis the researcher has in mind about the mechanisms of neuronal processing. The focus on spike recordings from individual neurons implies that one strives to understand the elementary units of neuronal processing. However, approaching the...
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References
Braitenberg V, Schüz A (2009) Cortex: statistics and geometry of neuronal connectivity, 2nd edn. Springer, New York. ISBN-13: 978-3540638162
Grün S, Rotter S (2010) Analysis of parallel spike trains. In: Grün S, Rotter S (eds) Springer series in computational neuroscience. Springer, New York. ISBN 978-1-4419-5674-3, e-ISBN 978-1-4419-5675-0
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Grün, S. (2015). Spike Train Analysis: Overview. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_776
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DOI: https://doi.org/10.1007/978-1-4614-6675-8_776
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Publisher Name: Springer, New York, NY
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