Learning task-state representations
Y Niv - Nature neuroscience, 2019 - nature.com
Arguably, the most difficult part of learning is deciding what to learn about. Should I
associate the positive outcome of safely completing a street-crossing with the situation 'the …
associate the positive outcome of safely completing a street-crossing with the situation 'the …
Reinforcement learning and episodic memory in humans and animals: an integrative framework
SJ Gershman, ND Daw - Annual review of psychology, 2017 - annualreviews.org
We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …
experienced significant progress in the past two decades, enabled by the comprehensive …
Grounded language acquisition through the eyes and ears of a single child
Starting around 6 to 9 months of age, children begin acquiring their first words, linking
spoken words to their visual counterparts. How much of this knowledge is learnable from …
spoken words to their visual counterparts. How much of this knowledge is learnable from …
How computational modeling can force theory building in psychological science
Psychology endeavors to develop theories of human capacities and behaviors on the basis
of a variety of methodologies and dependent measures. We argue that one of the most …
of a variety of methodologies and dependent measures. We argue that one of the most …
[图书][B] Representation in cognitive science
N Shea - 2018 - library.oapen.org
" Our thoughts are meaningful. We think about things in the outside world; how can that be
so? This is one of the deepest questions in contemporary philosophy. Ever since …
so? This is one of the deepest questions in contemporary philosophy. Ever since …
Evaluating Amazon's Mechanical Turk as a tool for experimental behavioral research
Amazon Mechanical Turk (AMT) is an online crowdsourcing service where anonymous
online workers complete web-based tasks for small sums of money. The service has …
online workers complete web-based tasks for small sums of money. The service has …
Modeling similarity and psychological space
Similarity and categorization are fundamental processes in human cognition that help
complex organisms make sense of the cacophony of information in their environment. These …
complex organisms make sense of the cacophony of information in their environment. These …
The discriminative lexicon: A unified computational model for the lexicon and lexical processing in comprehension and production grounded not in (de) composition …
The discriminative lexicon is introduced as a mathematical and computational model of the
mental lexicon. This novel theory is inspired by word and paradigm morphology but …
mental lexicon. This novel theory is inspired by word and paradigm morphology but …
Suboptimality in perceptual decision making
D Rahnev, RN Denison - Behavioral and brain sciences, 2018 - cambridge.org
Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …
Reinforcement learning in multidimensional environments relies on attention mechanisms
In recent years, ideas from the computational field of reinforcement learning have
revolutionized the study of learning in the brain, famously providing new, precise theories of …
revolutionized the study of learning in the brain, famously providing new, precise theories of …