Search Results - "Daw, Nathaniel D."

Prioritized memory access explains planning and hippocampal replay by Mattar, Marcelo G., Daw, Nathaniel D.

“…To make decisions, animals must evaluate candidate choices by accessing memories of relevant experiences. Yet little is known about which experiences are…”
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Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework by Gershman, Samuel J, Daw, Nathaniel D

“…We review the psychology and neuroscience of reinforcement learning (RL), which has experienced significant progress in the past two decades, enabled by the…”
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Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation by Fleming, Stephen M, Daw, Nathaniel D

“…People are often aware of their mistakes, and report levels of confidence in their choices that correlate with objective performance. These metacognitive…”
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Linear reinforcement learning in planning, grid fields, and cognitive control by Piray, Payam, Daw, Nathaniel D.

“…It is thought that the brain’s judicious reuse of previous computation underlies our ability to plan flexibly, but also that inappropriate reuse gives rise to…”
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A model for learning based on the joint estimation of stochasticity and volatility by Piray, Payam, Daw, Nathaniel D.

“…Previous research has stressed the importance of uncertainty for controlling the speed of learning, and how such control depends on the learner inferring the…”
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Model-Based Influences on Humans' Choices and Striatal Prediction Errors by Daw, Nathaniel D., Gershman, Samuel J., Seymour, Ben, Dayan, Peter, Dolan, Raymond J.

“…The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying…”
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The algorithmic anatomy of model-based evaluation by Daw, Nathaniel D., Dayan, Peter

“…Despite many debates in the first half of the twentieth century, it is now largely a truism that humans and other animals build models of their environments…”
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Predictive representations can link model-based reinforcement learning to model-free mechanisms by Russek, Evan M, Momennejad, Ida, Botvinick, Matthew M, Gershman, Samuel J, Daw, Nathaniel D

“…Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement…”
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Computational processes of simultaneous learning of stochasticity and volatility in humans by Piray, Payam, Daw, Nathaniel D.

“…Making adaptive decisions requires predicting outcomes, and this in turn requires adapting to uncertain environments. This study explores computational…”
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Serotonin and Dopamine: Unifying Affective, Activational, and Decision Functions by Cools, Roshan, Nakamura, Kae, Daw, Nathaniel D

“…Serotonin, like dopamine (DA), has long been implicated in adaptive behavior, including decision making and reinforcement learning. However, although the two…”
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Biased belief updating and suboptimal choice in foraging decisions by Garrett, Neil, Daw, Nathaniel D.

“…Deciding which options to engage, and which to forego, requires developing accurate beliefs about the overall distribution of prospects. Here we adapt a…”
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Learning the opportunity cost of time in a patch-foraging task by Constantino, Sara M., Daw, Nathaniel D.

“…Although most decision research concerns choice between simultaneously presented options, in many situations options are encountered serially, and the decision…”
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Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons by Engelhard, Ben, Finkelstein, Joel, Cox, Julia, Fleming, Weston, Jang, Hee Jae, Ornelas, Sharon, Koay, Sue Ann, Thiberge, Stephan Y., Daw, Nathaniel D., Tank, David W., Witten, Ilana B.

“…There is increased appreciation that dopamine neurons in the midbrain respond not only to reward 1 and reward-predicting cues 1 , 2 , but also to other…”
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A simple model for learning in volatile environments by Piray, Payam, Daw, Nathaniel D

“…Sound principles of statistical inference dictate that uncertainty shapes learning. In this work, we revisit the question of learning in volatile environments,…”
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The ubiquity of model-based reinforcement learning by Doll, Bradley B, Simon, Dylan A, Daw, Nathaniel D

“…Highlights ► Model-free RL is a successful theory of cortico-striatal DA function. ► Flexible model-based RL methods offer to enrich understanding of brain and…”
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Reminders of past choices bias decisions for reward in humans by Bornstein, Aaron M., Khaw, Mel W., Shohamy, Daphna, Daw, Nathaniel D.

“…We provide evidence that decisions are made by consulting memories for individual past experiences, and that this process can be biased in favour of past…”
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Taking Psychiatry Research Online by Gillan, Claire M., Daw, Nathaniel D.

“…Psychiatry is in need of a major overhaul. In order to improve the precision with which we can treat, classify, and research mental health problems, we need…”
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Working-memory capacity protects model-based learning from stress by Otto, A. Ross, Raio, Candace M., Chiang, Alice, Phelps, Elizabeth A., Daw, Nathaniel D.

“…Accounts of decision-making have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and…”
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The importance of mixed selectivity in complex cognitive tasks by Rigotti, Mattia, Barak, Omri, Warden, Melissa R., Wang, Xiao-Jing, Daw, Nathaniel D., Miller, Earl K., Fusi, Stefano

“…Single-neuron activity in the prefrontal cortex (PFC) is tuned to mixtures of multiple task-related aspects. Such mixed selectivity is highly heterogeneous,…”
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Characterizing a psychiatric symptom dimension related to deficits in goal-directed control by Gillan, Claire M, Kosinski, Michal, Whelan, Robert, Phelps, Elizabeth A, Daw, Nathaniel D

“…Prominent theories suggest that compulsive behaviors, characteristic of obsessive-compulsive disorder and addiction, are driven by shared deficits in…”
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