Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research Cover

Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research

Computational Psychiatry

Volume 9 (2025): Issue 1

By: Samuel Zorowitz, Gili Karni, Natalie Paredes , Nathaniel Daw and Yael Niv

Open Access

|Dec 2025

Authors

Samuel Zorowitz

szorowi1@gmail.com

Princeton Neuroscience Institute, Princeton University

Gili Karni

gili@princeton.edu

Princeton Neuroscience Institute, Princeton University

Natalie Paredes

nparedes@ucsd.edu

Department of Psychology, University of California, San Diego

Nathaniel Daw

ndaw@princeton.edu

Princeton Neuroscience Institute, Princeton University; Department of Psychology, Princeton University

Yael Niv

yael@princeton.edu

Princeton Neuroscience Institute, Princeton University; Department of Psychology, Princeton University

DOI: https://doi.org/10.5334/cpsy.127 | Journal eISSN: 2379-6227

Journal RSS Feed

Language: English

Submitted on: Sep 2, 2024

Accepted on: Nov 4, 2025

Published on: Dec 18, 2025

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Pavlovian go/no-go task,

Pavlovian bias,

reinforcement learning,

© 2025 Samuel Zorowitz, Gili Karni, Natalie Paredes, Nathaniel Daw, Yael Niv, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 9 (2025): Issue 1