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Computational Neuroscience Journal Club

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If you have a question about this talk, please contact Rodrigo Echeveste .

Gido van de Ven will present:

• Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion

• Federico Stella, Peter Baracskay, Joseph O’Neill, and Jozsef Csicsvari

• Neuron (2019)

• https://www.sciencedirect.com/science/article/pii/S0896627319300790

Abstract: Hippocampal activity patterns representing movement trajectories are reactivated in immobility and sleep periods, a process associated with memory recall, consolidation, and decision making. It is thought that only fixed, behaviorally relevant patterns can be reactivated, which are stored across hippocampal synaptic connections. To test whether some generalized rules govern reactivation, we examined trajectory reactivation following non-stereotypical exploration of familiar open-field environments. We found that random trajectories of varying lengths and timescales were reactivated, resembling that of Brownian motion of particles. The animals’ behavioral trajectory did not follow Brownian diffusion demonstrating that the exact behavioral experience is not reactivated. Therefore, hippocampal circuits are able to generate random trajectories of any recently active map by following diffusion dynamics. This ability of hippocampal circuits to generate representations of all behavioral outcome combinations, experienced or not, may underlie a wide variety of hippocampal-dependent cognitive functions such as learning, generalization, and planning.

This talk is part of the Computational Neuroscience series.

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