Models of Rate and Phase Coding of Place Cells in Hippocampal Microcircuits

Cutsuridis, Vassilis (2018) Models of Rate and Phase Coding of Place Cells in Hippocampal Microcircuits. In: Hippocampal Microcircuits: A computational modeller's resource book. Springer. ISBN 978-1-4419-0996-1

Full content URL: https://www.springer.com/gb/book/9781441909954

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Models of Rate and Phase Coding of Place Cells in Hippocampal Microcircuits

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Abstract

Place cells are neurons that fire when the animal occupies a specific location within its environment (O’Keefe and Nadel, 1978). As different place cells have different place fields (locations where they fire), they are thought to provide a cognitive map for the rat. Furthermore, place cells are speed-dependent oscillators, as their oscillation frequency is determined by the animal’s traveling speed (Buzsaki, 2011). Their firing rates and phases also change with respect to LFP theta (O’Keefe & Recce, 1993; Johnson & Redish, 2007; Skaggs et al., 1996; Wilson and McNaughton, 1993). Theta oscillations (4-10Hz) are observed during animal exploration and rapid eye movement sleep (Buzsaki, 2002). During exploration (Fig. 1 top) hippocampal place cells’ firing rate increases as the position of the rat in the place field increases, reaching a maximal value just after the middle of the place field and beyond this point it decreases again (Fig 1 medium; Harris et al., 2002; Mehta et al., 2002). Place cells have also been shown to systematically shift their phase of firing to earlier phases of the theta rhythm as the animal transverses the place field (a phenomenon known as theta phase precession) (Fig 1 bottom; O’Keefe & Recce, 1993; Skaggs et al., 1996).
The goal of this chapter is to present computer models of place cell rate and phase coding in hippocampal microcircuits in order to explore the mechanisms by which both coding schemes are generated and/or maintained in these microcircuits. Of crucial importance is how theta-modulated inhibition interacts with synaptic plasticity in order to preserve the rate and phase coding properties of place cells in the CA1 microcircuits.

Additional Information:The final publication can be accessed online at https://www.springer.com/gb/book/9781441909954
Keywords:computer model, place cells, neuroscience, memory, space
Subjects:B Subjects allied to Medicine > B140 Neuroscience
G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:32388
Deposited On:04 Sep 2018 15:13

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