Yael Niv

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Yael Niv is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

12 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

2 Finished
5 Active

CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology
Niv, Y.
NIH NIMH
7/1/20 → 6/30/25
Project: Research project
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning
Niv, Y.
NIH NIDA
5/1/20 → 4/30/23
Project: Research project
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention
Niv, Y.
NIH NIMH
8/26/19 → 6/30/24
Project: Research project
Quantifying the latent-cause inference process in humans
Niv, Y.
NIH NIMH
8/16/19 → 5/31/22
Project: Research project
Orbitofrontal Cortex as a Cognitive Map of Task States
Niv, Y.
NIH NIDA
9/15/16 → 6/30/22
Project: Research project

7916 Citations
42 h-Index
62 Article
18 Review article
7 Chapter
6 Comment/debate
More

A pupillary index of susceptibility to decision biases
Eldar, E., Felso, V., Cohen, J. D. & Niv, Y., 2021, (Accepted/In press) In: Nature Human Behaviour.
Research output: Contribution to journal › Article › peer-review
A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale
Zorowitz, S., Bennett, D., Choe, G. & Niv, Y., Mar 2021, In: The Lancet Psychiatry. 8, 3, p. 180-181 2 p.
Research output: Contribution to journal › Letter › peer-review

Open Access
Biased evaluations emerge from inferring hidden causes
Shin, Y. S. & Niv, Y., 2021, (Accepted/In press) In: Nature Human Behaviour.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Signed and unsigned reward prediction errors dynamically enhance learning and memory
Rouhani, N. & Niv, Y., Mar 2021, In: eLife. 10, e61077.
Research output: Contribution to journal › Article › peer-review

Open Access
Dopamine transients do not act as model-free prediction errors during associative learning
Sharpe, M. J., Batchelor, H. M., Mueller, L. E., Yun Chang, C., Maes, E. J. P., Niv, Y. & Schoenbaum, G., Dec 1 2020, In: Nature communications. 11, 1, 106.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Scopus citations