Anne Collins

Contact

Job title: 
Associate Professor
Department: 
Psychology
Bio: 
Education: PhD Cognitive Neuroscience, UPMC Paris
Research interests: 

Human learning, decision-making and executive functions; Computational modeling at multiple levels (cognitive and neuroscience); Behavioral, EEG, drug and genes studies in healthy or patient populations.Human learning, decision-making and executive functions; Computational modeling at multiple levels (cognitive and neuroscience); Behavioral, EEG, imaging, drug and developmental studies in healthy or patient populations.

Role: 
Faculty

Primary Research Area: Cognition

Secondary Research Area: Cognitive Neuroscience

Research Description

We study the multiple neuro-cognitive processes that contribute to learning, decision-making and executive functions.

We use quantitative modeling at different levels of description (eg. reinforcement learning, Bayesian inference, and neural network modeling) to study the computations performed by cognitive or neural systems.

To inform the quantitative theories developped, we perform behavioral, as well as EEG, imaging or developmental experiments in healthy or patient adult populations.

Selected Publications

Surprise! dopamine signals mix action, value and error (2015). Anne G. E. Collins, Michael J. Frank. Nature Neuroscience

8-Month-Old Infants Spontaneously Learn and Generalize Hierarchical Rules (2015). Denise M. Werchan, Anne G. E. Collins, Michael J. Frank, and Dima Amso. Psychological Science

Working memory contributions to reinforcement learning impairments in Schizophrenia (2014). Anne GE Collins, Jaime Brown, James Gold, James Waltz, Michael J Frank. Journal of Neuroscience

A Reinforcement Learning Mechanism Responsible for the Valuation of Free Choice (2014). Cockburn, J, Collins, AGE, and Frank, MJ. Neuron

Human EEG uncovers latent generalizable rule structure during learning (2014). Collins, AGE, Cavanagh, JF, and Frank, MJ. Journal of Neuroscience

Opponent Actor Learning (OpAL): Modeling interactive effect of striatal dopamine on reinforcement learning and choice incentive (2014). Collins, AGE and Frank, MJ. Psychological Review

Foundations of human reasoning in the prefrontal cortex (2014). Donoso, M, Collins, AGE, Koechlin,E. Science

Cognitive control over learning: Creating, clustering and Generalizing task-set structure (2013). Collins, AGE and Frank, MJ. Psychological Review

How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational and neurogenetic analysis (2012). Collins, AGE and Frank, MJ. European Journal of Neuroscience

Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making (2012). Collins A, Koechlin E. PLoS Biology

Negative Symptoms and the Failure to Represent the Expected Reward Value of Actions: Behavioral and Computational Modeling Evidence  (2012). Gold, JM; Waltz, JA; Matveeva, TM; Kasanova, Z; Strauss, G; Herbener, E; Collins, AGE; Frank, MJ. Arch Gen Psychiatry

A computational theory of prefrontal executive control (2009). Collins, A. and Koechlin, E. Frontiers in Systems Neuroscience

Teaching