Dynamic self-efficacy as a computational mechanism of mania emergence

Li J, Radulescu A

(2024) Proceedings of the Annual Meeting of the Cognitive Science Society

Affect-congruent attention drives changes in reward expectations

Bennett D*, Radulescu A*, Zorowitz S, Felso V, & Niv Y

(2023) PLOS Computational Biology

Naturalistic reinforcement learning

Wise T, Emery KJ, Radulescu A

(2023) Trends in Cognitive Sciences

Modeling human eye movements during immersive visual search

Radulescu A*, van Opheusden B*, Callaway F, Griffiths TL, & Hillis JM

(2022) bioRxiv

Name that state: How language affects human reinforcement learning

Radulescu A, Vong WK, Gureckis TM

(2022) Proceedings of the Annual Meeting of the Cognitive Science Society

Human representation learning

Radulescu A, Shin Y, Niv Y

(2021) Annual Review of Neuroscience

From heuristic to optimal models in naturalistic visual search

Radulescu A*, van Opheusden B*, Callaway F, Griffiths TL, Hillis JM

(2020) Bridging AI and Cognitive Science workshop, ICLR

On the convergent validity of risk sensitivity measures

Radulescu A, Holmes K, Niv Y

(2020) PsyArXiv

Intact reinforcement learning but impaired attentional control during multidimensional probabilistic learning in older adults

Daniel R, Radulescu A, Niv Y

(2020) Journal of Neuroscience

A particle filtering account of selective attention during learning

Radulescu A, Niv Y, Daw ND

(2019) Computational Cognitive Neuroscience

State representation in mental illness

Radulescu A, Niv Y

(2019) Current opinion in neurobiology

Holistic reinforcement learning: the role of structure and attention

Radulescu A, Niv Y, Ballard IC

(2019) Trends in Cognitive Sciences

Contrasting the effects of prospective attention and retrospective decay in representation learning

Davidson G*, Radulescu A*, Niv Y

(2019) Reinforcement Learning and Decision Making

Dynamic interaction between reinforcement learning and attention in multidimensional environments

Leong YC*, Radulescu A*, Daniel R, DeWoskin V, Niv Y

(2017) Neuron

Reward sensitive attention dynamics during human reinforcement learning

Radulescu A, Leong YC, Niv Y

(2017) Reinforcement Learning and Decision Making

Building on solid ground: establishing the stability of computational modeling parameters

Hitchcock P, Radulescu A, Niv Y, Sims C

(2017) Annual Convention for the Association for Behavioral and Cognitive Therapies

The effects of aging on the interaction between reinforcement learning and attention

Radulescu A, Daniel R, Niv Y

(2016) Psychology and Aging

DYT1 dystonia increases risk taking in humans

Arkadir D, Radulescu A, Lubarr N, Raymond D, Bressman SB, Mazzoni P, Niv Y

(2016) eLife

Reinforcement learning in multidimensional environments relies on attention mechanisms

Niv Y, Daniel R, Geana A, Gershman SJ, Leong Y, Radulescu A, Wilson RC

(2015) Journal of Neuroscience

Statistical computations underlying the dynamics of memory updating

Gershman SJ, Radulescu A, Norman KA, Niv Y

(2014) PLOS Computational Biology