Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion.

By Federico Stella, Péter Baracskay, J. O’Neill, J. Csicsvari. 2019

107 citations recorded by the source corpus.

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.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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In Cellular and Molecular Neuroscience

  1. Andrea Soltoggio
  2. Sebastian Risi
  3. Jeff Clune
  4. David Tingley
  5. Stefano Fusi
  6. Gido M. van de Ven
  7. Maxim Bazhenov
  8. Risto Miikkulainen

In Cognitive Neuroscience

  1. Sebastian Risi
  2. Andrea Soltoggio
  3. Jeff Clune
  4. Risto Miikkulainen
  5. David Tingley
  6. J. Krichmar
  7. Stefano Fusi
  8. Gido M. van de Ven

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