Titlebook: Hippocampal Microcircuits; A Computational Mode Vassilis Cutsuridis,Bruce Graham,Imre Vida Book 20101st edition Springer-Verlag New York 20

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Neuronal Activity Patterns During Hippocampal Network Oscillations In Vitroand information processing in the brain; oscillations are assumed to entrain and provide temporal structure to this. Recent work from different laboratories has uncovered cell type-specific activity patterns during network oscillations, indicating that the cells may differentially contribute to the

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Neuronal Activity Patterns in Anaesthetized Animalshis 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 a

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Spatial and Behavioral Correlates of Hippocampal Neuronal Activity: A Primer for Computational Analyincipal cells of areas CA1 and CA3, which otherwise are characterized by very low baseline firing rates, suddenly fire at rapid rates related to the current location of the animal, its ongoing behavior, specific salient stimuli, or some combination of these factors and the context of the behavioral

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The Making of a Detailed CA1 Pyramidal Neuron Model; Lee et al., 2005) acquisition and retrieval of contextual fear conditioning (Lee, 2004), temporal pattern completion (Hoang, 2008), temporal processing of information (Hunsaker et al., 2008), spatial and object novelty detection (Hunsaker et al., 2007; Vago, 2008) and several others. However, desp

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CA3 Cells: Detailed and Simplified Pyramidal Cell Modelsall (Hölscher, 2003). The classic anatomical representation of the hippocampal circuitry is organized around the synaptic loop from the entorhinal cortex to the dentate gyrus, to area CA3, to CA1, to the subicular complex, and back to the entorhinal cortex. In this pathway, area CA3 constitutes a pi

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Entorhinal Cortex Cellslso recently been shown that place cells, intensely studied in the hippocampus, exist upstream of hippocampus in superficial layers of entorhinal cortex (Fyhn et al., 2004). In the light of these findings, mechanisms generating the gradient in rhythmicity of entorhinal grid cells have received large

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Single Neuron Models: Interneuronsrobak 1995; Mann and Paulsen 2007). As such, we need to understand the intrinsic and synaptic network dynamics of interneurons. For example, it is clear that plasticity (Perez et al. 2001) and place cell coding (Maurer et al. 2006; Wilent and Nitz 2007) specifically involve interneurons and that int