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 …

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 …

Grounded language acquisition through the eyes and ears of a single child

WK Vong, W Wang, AE Orhan, BM Lake - Science, 2024 - science.org
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 …

How computational modeling can force theory building in psychological science

O Guest, AE Martin - Perspectives on Psychological Science, 2021 - journals.sagepub.com
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 …

[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 …

Evaluating Amazon's Mechanical Turk as a tool for experimental behavioral research

MJC Crump, JV McDonnell, TM Gureckis - PloS one, 2013 - journals.plos.org
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 …

Modeling similarity and psychological space

BD Roads, BC Love - Annual Review of Psychology, 2024 - annualreviews.org
Similarity and categorization are fundamental processes in human cognition that help
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 …

RH Baayen, YY Chuang, E Shafaei-Bajestan… - …, 2019 - Wiley Online Library
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 …

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 …

Reinforcement learning in multidimensional environments relies on attention mechanisms

Y Niv, R Daniel, A Geana, SJ Gershman… - Journal of …, 2015 - Soc Neuroscience
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 …