Author

T. Akam

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Open access Jul 2026

Learning complex temporal dependencies via local synaptic plasticity

The ability to extract and exploit temporal structure across diverse tasks is central to human cognition. Neuroscientists have typically relied on recurrent neural networks (RNNs) trained with backpropagation through time (BPTT) when modelling neural and behavioural processes such as decision-making and motor control....

J. Ng-Kee-Kwong, Mufeng Tang, T. Akam et al. · bioRxiv · 0 citations

Open access Aug 2026

Transition from model-free to structure-informed decision making in dynamic environments

This study analyzed how mice adjust their reinforcement learning strategies as they are trained in a two-step decision-making task and found that structure-informed strategies became increasingly dominant in their behaviors during training.

Mao Yasueda, Masakazu Taira, T. Akam et al. · bioRxiv · 0 citations