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Computational models of learning have proved largely successful in characterizing potential mechanis...
Reversal learning is one of the most venerable paradigms for studying the acquisition, extinction,an...
Probability matching occurs when an action is chosen with a frequency equivalent to the probability ...
Abstract: Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamic...
In this thesis, the learning of probabilistic relationships between stimulus-action pairs is investi...
The exploration/exploitation tradeoff – pursuing a known reward vs. sampling from lesser known optio...
Humans are capable of correcting their actions based on actions performed in the past, and this abil...
Reversal learning paradigms are widely used assays of behavioral flexibility with their probabilisti...
Abstract. Learning in the brain is associated with changes of connec-tion strengths between neurons....
Computational models of learning have proved largely successful in characterizing potential mechanis...
(A): During learning, 3 option pairs were presented in random order. Participants had to select the ...
Animal learning is associated with changes in the efficacy of connections between neurons. The rules...
Computational models of learning have proved largely successful in characterising potentialmechanism...
Cognitive flexibility helps us to navigate through our ever-changing environment and has often been ...
This thesis investigates mechanisms of human decision making, building on the fields of psychology a...
Computational models of learning have proved largely successful in characterizing potential mechanis...
Reversal learning is one of the most venerable paradigms for studying the acquisition, extinction,an...
Probability matching occurs when an action is chosen with a frequency equivalent to the probability ...
Abstract: Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamic...
In this thesis, the learning of probabilistic relationships between stimulus-action pairs is investi...
The exploration/exploitation tradeoff – pursuing a known reward vs. sampling from lesser known optio...
Humans are capable of correcting their actions based on actions performed in the past, and this abil...
Reversal learning paradigms are widely used assays of behavioral flexibility with their probabilisti...
Abstract. Learning in the brain is associated with changes of connec-tion strengths between neurons....
Computational models of learning have proved largely successful in characterizing potential mechanis...
(A): During learning, 3 option pairs were presented in random order. Participants had to select the ...
Animal learning is associated with changes in the efficacy of connections between neurons. The rules...
Computational models of learning have proved largely successful in characterising potentialmechanism...
Cognitive flexibility helps us to navigate through our ever-changing environment and has often been ...
This thesis investigates mechanisms of human decision making, building on the fields of psychology a...
Computational models of learning have proved largely successful in characterizing potential mechanis...
Reversal learning is one of the most venerable paradigms for studying the acquisition, extinction,an...
Probability matching occurs when an action is chosen with a frequency equivalent to the probability ...