Roman Feiman
Roman Feiman
Thomas J. and Alice M. Tisch Assistant Professor, Brown University
Verified email at - Homepage
Cited by
Cited by
Expressing fear enhances sensory acquisition
JM Susskind, DH Lee, A Cusi, R Feiman, W Grabski, AK Anderson
Nature neuroscience 11 (7), 843-850, 2008
The logic in language: How all quantifiers are alike, but each quantifier is different
R Feiman, J Snedeker
Cognitive psychology 87, 29-52, 2016
What do you mean, no? Toddlers’ comprehension of logical “no” and “not”
R Feiman, S Mody, S Sanborn, S Carey
Language Learning and Development 13 (4), 430-450, 2017
Getting to No: Pragmatic and Semantic Factors in Two‐ and Three‐Year‐Olds' Understanding of Negation
T Reuter, R Feiman, J Snedeker
Child development 89 (4), e364-e381, 2018
Infants’ representations of others’ goals: Representing approach over avoidance
R Feiman, S Carey, F Cushman
Cognition 136, 204-214, 2015
The development of reasoning by exclusion in infancy
R Feiman, S Mody, S Carey
Cognitive Psychology 135, 101473, 2022
Do children interpret ‘or’conjunctively?
D Skordos, R Feiman, A Bale, D Barner
Journal of Semantics 37 (2), 247-267, 2020
Counting and the ontogenetic origins of exact equality
RM Schneider, E Brockbank, R Feiman, D Barner
Cognition 218, 104952, 2022
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations
A Traylor, R Feiman, E Pavlick
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Priming reveals similarities and differences between three purported cases of implicature: Some, number and free choice disjunctions
MC Meyer, R Feiman
Journal of Memory and Language 120, 104206, 2021
Contrast and entailment: Abstract logical relations constrain how 2-and 3-year-old children interpret unknown numbers
R Feiman, JK Hartshorne, D Barner
Cognition 183, 192-207, 2019
Problems and mysteries of the many languages of thought
E Mandelbaum, Y Dunham, R Feiman, C Firestone, EJ Green, D Harris, ...
Cognitive Science 46 (12), e13225, 2022
Priming quantifier scope: Reexamining the evidence against scope inversion
R Feiman, M Maldonado, J Snedeker
Glossa: a journal of general linguistics 5 (1), 2020
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
A Traylor, R Feiman, E Pavlick
The Eleventh International Conference on Learning Representations, 2023
The structure and development of logical representations in thought and language
R Feiman
Evidence of accurate logical reasoning in online sentence comprehension
M Dąbkowski, R Feiman
Schneider, RM, Feiman, R., Mendes, M., & Barner, D.(2021). Pragmatic impacts on children's understanding of exact equality. 43rd Annual Meeting of the Cognitive Science Society.
RM Schneider
43rd Annual Meeting of the Cognitive Science Society, 2021
How Can Deep Neural Networks Inform Theory in Psychological Science?
SW McGrath, J Russin, E Pavlick, R Feiman
PsyArXiv, 2023
It's not just what we don't know: The mapping problem in the acquisition of negation
V Gomes, R Doherty, D Smits, S Goldin-Meadow, JC Trueswell, R Feiman
Cognitive Psychology 145, 101592, 2023
Polysemy does not exist, at least not in the relevant sense
G Brody, R Feiman
Mind & Language, 1-22, 2023
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