Action-selection is determined by a combination of goal-directed and habitual processes. Habits are defined as the reward-independent, stimulus-response relationships which form when an action is regularly executed in the same context, regardless of outcome. An influential computational model proposes that habit format...
Charlotte Collingwood, Francesca Greenstreet, Marcus Stephenson-Jones et al.· bioRxiv· 0 citations
Effective decision making in stochastic environments requires balancing flexible, value-based learning with a stabilising influence of habitual action selection. While dopamine-mediated reward prediction errors (RPEs) are a well-established component of value learning, the mechanisms underlying habit- like behaviour re...
Yu-Hao Wang, L. Burgeno, J. Cerpa et al.· bioRxiv· 0 citations
It is suggested that parkinsonian STN beta activity can organise into mesoscopic traveling waves, which has important implications for the pathophysiology of PD and the improvement of sensing-guided DBS.
P. Nilchian, A. Averna, H. Cagnan et al.· bioRxiv· 0 citations
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
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