Computational Neuroscience

Publications of C Gagne

Journal Article (10)

Journal Article
Gagne, C.; Agai, S.; Ramiro, C.; Dayan, P.; Bishop, S.: Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Computational Biology 18 (8), e1010176 (2022)
Journal Article
Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)
Journal Article
Lawrance, E.; Gagne, C.; O'Reilly, J.; Bijsterbosch, J.; Bishop, S.: The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety. Computational Psychiatry 6 (1), pp. 8 - 33 (2022)
Journal Article
Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)
Journal Article
Gagne, C.; Zika, O.; Dayan, P.; Bishop, S.: Impaired adaptation of learning to contingency volatility in internalizing psychopathology. eLife 9, pp. 1 - 51 (2020)
Journal Article
Gagne, C.; Dayan, P.; Bishop, S.: When planning to survive goes wrong: predicting the future and replaying the past in anxiety and PTSD. Current Opinion in Behavioral Sciences 24, pp. 89 - 95 (2018)
Journal Article
Bhandari, A.; Gagne, C.; Badre, D.: Just Above Chance: Is It Harder to Decode Information From Prefrontal Cortex Hemodynamic Activity Patterns? Journal of Cognitive Neuroscience 30 (10), pp. 1473 - 1498 (2018)
Journal Article
Bishop, S.; Gagne, C.: Anxiety, Depression, and Decision Making: A Computational Perspective. Annual Review of Neuroscience 41, pp. 371 - 388 (2018)
Journal Article
Frank, M.; Gagne, C.; Nyhus, E.; Masters, S.; Wiecki, T.; Cavanagh, J.; Badre, D.: fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning. The Journal of Neuroscience 35 (2), pp. 485 - 494 (2015)
Journal Article
Gagne, C.; MacEvoy, S.: Do Simultaneously Viewed Objects Influence Scene Recognition Individually or as Groups? Two Perceptual Studies. PLoS One 9 (8), pp. 1 - 10 (2014)

Conference Paper (2)

Conference Paper
Dayan, P.; Gagne, C.: Two steps to risk sensitivity. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), pp. 22209 - 22220 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), December 06, 2021 - December 14, 2021. Curran, Red Hook, NY, USA (2022)
Conference Paper
Gagne, C.; Dayan, P.: Catastrophe, Compounding & Consistency in Choice. In: Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021). Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021), December 14, 2021. (2021)

Talk (2)

Dayan, P.; Gagne, C.: Multiple steps to the precipice: Risk aversion and worry in sequential decision-making. ICML 2021 Workshop on Computational Approaches to Mental Health (CA2MH Workshop) (2021)
Dayan, P.; Gagne, C.: Peril, Prudence and Planning as Risk, Avoidance and Worry. The Fields Institute for Research in Mathematical Sciences: 2020-2021 Machine Learning Advances and Applications Seminar, Toronto, Canada (2021)

Poster (1)

Gagne, C.; Dayan, P.: Avoidant behavior and pathological worry as optimal policies and optimal offline planning given individually exaggerated risk preferences. Bernstein Conference 2020 (2020)

Thesis - PhD (1)

Thesis - PhD
Gagne, C.: Computational modeling of behavior under uncertainty: Commonalities and differences between anxiety and depression. Dissertation, 145 pp., University of California, Berkeley, CA, USA (2019)
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