Máté Lengyel

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UNLABELLED Behavioral and neuroscientific data on reward-based decision making point to a fundamental distinction between habitual and goal-directed action selection. The formation of habits, which requires simple updating of cached values, has been studied in great detail, and the reward prediction error theory of dopamine function has enjoyed prominent(More)
Interpreting visual scenes typically requires us to accumulate information from multiple locations in a scene. Using a novel gaze-contingent paradigm in a visual categorization task, we show that participants' scan paths follow an active sensing strategy that incorporates information already acquired about the scene and knowledge of the statistical(More)
A key component of interacting with the world is how to direct ones' sensors so as to extract task-relevant information — a process referred to as active sensing. In this review, we present a framework for active sensing that forms a closed loop between an ideal observer, that extracts task-relevant information from a sequence of observations, and an ideal(More)
Even in state-spaces of modest size, planning is plagued by the " curse of dimen-sionality ". This problem is particularly acute in human and animal cognition given the limited capacity of working memory, and the time pressures under which planning often occurs in the natural environment. Hierarchically organized modular representations have long been(More)
Current models of human visual decision making based on sequentially provided samples posit that people make their next decision by unconsciously compensating the statistical discrepancy between measures collected in the long past and those collected very recently. While this proposal is compelling, it does not qualify as a rigorous model of human decision(More)
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