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Gatsby Computational Neuroscience Unit

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Alexander Roxin

 

Wednesday 18th April 2018

 

Time:4.00pm

 

Ground Floor Seminar Room

25 Howland Street, London, W1T 4JG

 

Theta-modulation drives the emergence of network-wide connectivity patterns underlying replay in a model of hippocampal place cells

 

Place cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal is quiescent or sleeping, one can observe similar sequences of activation known as replay, which underlie the process of memory consolidation. However, it remains unclear how replay is generated. Here we show how a temporally asymmetric plasticity rule during spatial exploration gives rise to spontaneous replay in a model network by shaping the recurrent connectivity to reflect the topology of the learned environment. Crucially, the rate of this encoding is strongly modulated by ongoing rhythms. Oscillations in the theta range optimize learning by generating repeated pre-post pairings on a time-scale commensurate with the window for plasticity, while lower and higher frequencies generate learning rates which are lower by orders of magnitude.