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Hippocampal Microcircuits pp 277–291Cite as

Neuronal Activity Patterns in Anaesthetized Animals

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Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI,volume 5))

Abstract

A major goal in hippocampal computational biology is to understand how neuronal circuits encode, process, store and retrieve information. To achieve this goal we must identify the activity of single neurons involved in specific neural processes within the context of the surrounding network. A major aspect of this question is how the activity of the neurons and the network is orchestrated by the many types of interneurons embedded in feedforward and feedback inhibitory microcircuits. To gain experimental insights into such dynamical processes it would be ideal to monitor the synaptic inputs, outputs and discharge pattern of anatomically defined single cells and to correlate these activities with a detailed knowledge of how the cells are incorporated into the surrounding hippocampal network, the coordinated activity of other cells in that network and ultimately the resultant behavioural consequences.

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Author information

Authors and Affiliations

  1. Neuroscience and Molecular Pharmacology, Faculty of Biomedical and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK

    Stuart Cobb & Imre Vida

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  1. Stuart Cobb
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  2. Imre Vida
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Correspondence to Stuart Cobb .

Editor information

Editors and Affiliations

  1. Department of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK

    Vassilis Cutsuridis  & Bruce Graham  & 

  2. Neuroscience & Molecular Pharmacology, Faculty of Biomedical and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK

    Stuart Cobb  & Imre Vida  & 

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Cobb, S., Vida, I. (2010). Neuronal Activity Patterns in Anaesthetized Animals. In: Cutsuridis, V., Graham, B., Cobb, S., Vida, I. (eds) Hippocampal Microcircuits. Springer Series in Computational Neuroscience, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0996-1_9

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