Recurrent network model for learning goal-directed sequences through reverse replay
Abstract
Reverse replay of hippocampal place cells occurs frequently at rewarded locations, suggesting its contribution to goal-directed path learning. Symmetric spike-timing dependent plasticity (STDP) in CA3 likely potentiates recurrent synapses for both forward (start to goal) and reverse (goal to start) replays during sequential activation of place cells. However, how reverse replay selectively strengthens forward synaptic pathway is unclear. Here, we show computationally that firing sequences bias synaptic transmissions to the opposite direction of propagation under symmetric STDP in the co-presence of short-term synaptic depression or afterdepolarization. We demonstrate that significant biases are created in biologically realistic simulation settings, and this bias enables reverse replay to enhance goal-directed spatial memory on a W-maze. Further, we show that essentially the same mechanism works in a two-dimensional open field. Our model for the first time provides the mechanistic account for the way reverse replay contributes to hippocampal sequence learning for reward-seeking spatial navigation.
Data availability
Our study is based on computer simulations, and we are sharing codes in Github.
Article and author information
Author details
Funding
Ministry of Education, Culture, Sports, Science, and Technology (15H04265)
- Tomoki Fukai
Core Research for Evolutional Science and Technology (JPMJCR13W1)
- Tomoki Fukai
Ministry of Education, Culture, Sports, Science, and Technology (16H01289)
- Tomoki Fukai
Ministry of Education, Culture, Sports, Science, and Technology (17H06036)
- Tomoki Fukai
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2018, Haga & Fukai
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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