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

Reinforcement learning theory formulates distinct decision-making strategies, including reactive model-free and deliberative model-based strategies. This study investigates how mice adjust their reinforcement learning strategies while learning decision-making in dynamic environments. Unlike previous studies that focuse...

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