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Journal club

Curriculum

A twenty-paper sequence designed to take undergraduates from basic neuroscience and programming to reading — and eventually writing — primary computational psychiatry literature. Nine sessions run across the fall semester.

In active development
01Foundations — What Is Computational Psychiatry?Montague et al. (2012) — The Founding VisionHuys et al. (2016) — The Bridge to Clinical ApplicationsAdams et al. (2016) — A Mathematical FrameworkStephan & Mathys (2014) — Computational Assays for Psychiatry02Reinforcement Learning in PsychiatryRutledge et al. (2014) — Reward, Happiness, and the Dopamine ConnectionPizzagalli (2014) — Anhedonia and Reward ProcessingMaia & Frank (2011) — RL Models of Decision-Making in Clinical PopulationsHusain & Roiser (2018) — Effort, Motivation, and Computational Models of Apathy03The Bayesian Brain and PsychosisClark (2013) — The Predictive BrainCorlett et al. (2019) — Aberrant Precision and HallucinationsCorlett et al. (2010) — Computational Models of DelusionsPowers et al. (2017) — Computational Phenotyping in Psychosis04Biomarkers and ClassificationWoo et al. (2017) — Building Brain-Based BiomarkersDrysdale et al. (2017) — Neuroimaging-Based Subtypes of DepressionDwyer et al. (2018) — Machine Learning in Psychiatry — Promise and PitfallsTorous et al. (2016) — Digital Phenotyping — Smartphones as Sensors05Ethics, Equity, and Clinical TranslationPaulus et al. (2016) — The Clinical Translation GapStarke et al. (2020) — Ethics of Algorithmic PsychiatryObermeyer et al. (2019) — Bias, Fairness, and RepresentationSaez & Gu (2023) — The Future: Invasive Computational Psychiatry
Full syllabus on GitHub
02

The Protocol

Rules of Engagement

  1. No Summaries: Assume everyone has read the paper. Do not read the abstract. Start with the friction point.
  2. The Pivot Rule: If you critique a methodology, you must propose an actionable alternative implementation for our lab.
  3. Show the Math: For computational models (e.g., TDE, Free Energy), the presenter must derive the core equations. Concepts are not enough.
03

Journal club

Biweekly member sessions. Each meeting takes on a specific research question the ClinicalWhisper project is working through, backed by one paper the group reads in advance. The Sep 17 kickoff is open to everyone; subsequent sessions are member-only.

Sep 174:00 PM PT · In person · Leavey Library, 2FOpen to all

Beyond the Transcript: What Can AI Learn from Clinical Audio?

Question · What information is lost in transcripts, and how might audio language models complement — or move beyond — traditional transcription in a clinical setting?

Presenter · Lily Wu

Reserve a seat ↗

Additional Fall '26 sessions are announced ahead of each meeting.

04

Bibliography

All 20 readings, with BibTeX pulled from the publisher record over DOI content negotiation rather than typed by hand.

Montague et al. (2012)
10.1016/j.tics.2011.11.018
@article{Montague_2012, title={Computational psychiatry}, volume={16}, ISSN={1364-6613}, url={http://dx.doi.org/10.1016/j.tics.2011.11.018}, DOI={10.1016/j.tics.2011.11.018}, number={1}, journal={Trends in Cognitive Sciences}, publisher={Elsevier BV}, author={Montague, P. Read and Dolan, Raymond J. and Friston, Karl J. and Dayan, Peter}, year={2012}, month=Jan, pages={72–80} }
Huys et al. (2016)
10.1038/nn.4238
@article{Huys_2016, title={Computational psychiatry as a bridge from neuroscience to clinical applications}, volume={19}, ISSN={1546-1726}, url={http://dx.doi.org/10.1038/nn.4238}, DOI={10.1038/nn.4238}, number={3}, journal={Nature Neuroscience}, publisher={Springer Science and Business Media LLC}, author={Huys, Quentin J M and Maia, Tiago V and Frank, Michael J}, year={2016}, month=Feb, pages={404–413} }
Adams et al. (2016)
10.1136/jnnp-2015-310737
@article{Adams_2015, title={Computational Psychiatry: towards a mathematically informed understanding of mental illness}, ISSN={1468-330X}, url={http://dx.doi.org/10.1136/jnnp-2015-310737}, DOI={10.1136/jnnp-2015-310737}, journal={Journal of Neurology, Neurosurgery & Psychiatry}, publisher={BMJ}, author={Adams, Rick A and Huys, Quentin J M and Roiser, Jonathan P}, year={2015}, month=July, pages={jnnp–2015–310737} }
Stephan & Mathys (2014)
10.1016/j.conb.2013.12.007
@article{Stephan_2014, title={Computational approaches to psychiatry}, volume={25}, ISSN={0959-4388}, url={http://dx.doi.org/10.1016/j.conb.2013.12.007}, DOI={10.1016/j.conb.2013.12.007}, journal={Current Opinion in Neurobiology}, publisher={Elsevier BV}, author={Stephan, Klaas Enno and Mathys, Christoph}, year={2014}, month=Apr, pages={85–92} }
Rutledge et al. (2014)
10.1073/pnas.1407535111
@article{Rutledge_2014, title={A computational and neural model of momentary subjective well-being}, volume={111}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.1407535111}, DOI={10.1073/pnas.1407535111}, number={33}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Rutledge, Robb B. and Skandali, Nikolina and Dayan, Peter and Dolan, Raymond J.}, year={2014}, month=Aug, pages={12252–12257} }
Pizzagalli (2014)
10.1146/annurev-clinpsy-050212-185606
@article{Pizzagalli_2014, title={Depression, Stress, and Anhedonia: Toward a Synthesis and Integrated Model}, volume={10}, ISSN={1548-5951}, url={http://dx.doi.org/10.1146/annurev-clinpsy-050212-185606}, DOI={10.1146/annurev-clinpsy-050212-185606}, number={1}, journal={Annual Review of Clinical Psychology}, publisher={Annual Reviews}, author={Pizzagalli, Diego A.}, year={2014}, month=Mar, pages={393–423} }
Maia & Frank (2011)
10.1038/nn.2723
@article{Maia_2011, title={From reinforcement learning models to psychiatric and neurological disorders}, volume={14}, ISSN={1546-1726}, url={http://dx.doi.org/10.1038/nn.2723}, DOI={10.1038/nn.2723}, number={2}, journal={Nature Neuroscience}, publisher={Springer Science and Business Media LLC}, author={Maia, Tiago V and Frank, Michael J}, year={2011}, month=Jan, pages={154–162} }
Husain & Roiser (2018)
10.1038/s41583-018-0029-9
@article{Husain_2018, title={Neuroscience of apathy and anhedonia: a transdiagnostic approach}, volume={19}, ISSN={1471-0048}, url={http://dx.doi.org/10.1038/s41583-018-0029-9}, DOI={10.1038/s41583-018-0029-9}, number={8}, journal={Nature Reviews Neuroscience}, publisher={Springer Science and Business Media LLC}, author={Husain, Masud and Roiser, Jonathan P.}, year={2018}, month=June, pages={470–484} }
Clark (2013)
10.1017/S0140525X12000477
@article{Clark_2013, title={Whatever next? Predictive brains, situated agents, and the future of cognitive science}, volume={36}, ISSN={1469-1825}, url={http://dx.doi.org/10.1017/S0140525X12000477}, DOI={10.1017/s0140525x12000477}, number={3}, journal={Behavioral and Brain Sciences}, publisher={Cambridge University Press (CUP)}, author={Clark, Andy}, year={2013}, month=May, pages={181–204} }
Corlett et al. (2019)
10.1016/j.tics.2018.12.001
@article{Corlett_2019, title={Hallucinations and Strong Priors}, volume={23}, ISSN={1364-6613}, url={http://dx.doi.org/10.1016/j.tics.2018.12.001}, DOI={10.1016/j.tics.2018.12.001}, number={2}, journal={Trends in Cognitive Sciences}, publisher={Elsevier BV}, author={Corlett, Philip R. and Horga, Guillermo and Fletcher, Paul C. and Alderson-Day, Ben and Schmack, Katharina and Powers, Albert R.}, year={2019}, month=Feb, pages={114–127} }
Corlett et al. (2010)
10.1016/j.pneurobio.2010.06.007
@article{Corlett_2010, title={Toward a neurobiology of delusions}, volume={92}, ISSN={0301-0082}, url={http://dx.doi.org/10.1016/j.pneurobio.2010.06.007}, DOI={10.1016/j.pneurobio.2010.06.007}, number={3}, journal={Progress in Neurobiology}, publisher={Elsevier BV}, author={Corlett, P.R. and Taylor, J.R. and Wang, X.-J. and Fletcher, P.C. and Krystal, J.H.}, year={2010}, month=Nov, pages={345–369} }
Powers et al. (2017)
10.1126/science.aan3458
@article{Powers_2017, title={Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors}, volume={357}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.aan3458}, DOI={10.1126/science.aan3458}, number={6351}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Powers, A. R. and Mathys, C. and Corlett, P. R.}, year={2017}, month=Aug, pages={596–600} }
Woo et al. (2017)
10.1038/nn.4478
@article{Woo_2017, title={Building better biomarkers: brain models in translational neuroimaging}, volume={20}, ISSN={1546-1726}, url={http://dx.doi.org/10.1038/nn.4478}, DOI={10.1038/nn.4478}, number={3}, journal={Nature Neuroscience}, publisher={Springer Science and Business Media LLC}, author={Woo, Choong-Wan and Chang, Luke J and Lindquist, Martin A and Wager, Tor D}, year={2017}, month=Feb, pages={365–377} }
Drysdale et al. (2017)
10.1038/nm.4246
@article{Drysdale_2016, title={Resting-state connectivity biomarkers define neurophysiological subtypes of depression}, volume={23}, ISSN={1546-170X}, url={http://dx.doi.org/10.1038/nm.4246}, DOI={10.1038/nm.4246}, number={1}, journal={Nature Medicine}, publisher={Springer Science and Business Media LLC}, author={Drysdale, Andrew T and Grosenick, Logan and Downar, Jonathan and Dunlop, Katharine and Mansouri, Farrokh and Meng, Yue and Fetcho, Robert N and Zebley, Benjamin and Oathes, Desmond J and Etkin, Amit and Schatzberg, Alan F and Sudheimer, Keith and Keller, Jennifer and Mayberg, Helen S and Gunning, Faith M and Alexopoulos, George S and Fox, Michael D and Pascual-Leone, Alvaro and Voss, Henning U and Casey, BJ and Dubin, Marc J and Liston, Conor}, year={2016}, month=Dec, pages={28–38} }
Dwyer et al. (2018)
10.1146/annurev-clinpsy-032816-045037
@article{Dwyer_2018, title={Machine Learning Approaches for Clinical Psychology and Psychiatry}, volume={14}, ISSN={1548-5951}, url={http://dx.doi.org/10.1146/annurev-clinpsy-032816-045037}, DOI={10.1146/annurev-clinpsy-032816-045037}, number={1}, journal={Annual Review of Clinical Psychology}, publisher={Annual Reviews}, author={Dwyer, Dominic B. and Falkai, Peter and Koutsouleris, Nikolaos}, year={2018}, month=May, pages={91–118} }
Torous et al. (2016)
10.2196/mental.5165
@article{Torous_2016, title={New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research}, volume={3}, ISSN={2368-7959}, url={http://dx.doi.org/10.2196/mental.5165}, DOI={10.2196/mental.5165}, number={2}, journal={JMIR Mental Health}, publisher={JMIR Publications Inc.}, author={Torous, John and Kiang, Mathew V and Lorme, Jeanette and Onnela, Jukka-Pekka}, year={2016}, month=May, pages={e16} }
Paulus et al. (2016)
10.1016/j.bpsc.2016.05.001
@article{Paulus_2016, title={A Roadmap for the Development of Applied Computational Psychiatry}, volume={1}, ISSN={2451-9022}, url={http://dx.doi.org/10.1016/j.bpsc.2016.05.001}, DOI={10.1016/j.bpsc.2016.05.001}, number={5}, journal={Biological Psychiatry: Cognitive Neuroscience and Neuroimaging}, publisher={Elsevier BV}, author={Paulus, Martin P. and Huys, Quentin J.M. and Maia, Tiago V.}, year={2016}, month=Sept, pages={386–392} }
Starke et al. (2020)
10.1017/S0033291720001683
@article{Starke_2020, title={Computing schizophrenia: ethical challenges for machine learning in psychiatry}, volume={51}, ISSN={1469-8978}, url={http://dx.doi.org/10.1017/S0033291720001683}, DOI={10.1017/s0033291720001683}, number={15}, journal={Psychological Medicine}, publisher={Cambridge University Press (CUP)}, author={Starke, Georg and De Clercq, Eva and Borgwardt, Stefan and Elger, Bernice Simone}, year={2020}, month=June, pages={2515–2521} }
Obermeyer et al. (2019)
10.1126/science.aax2342
@article{Obermeyer_2019, title={Dissecting racial bias in an algorithm used to manage the health of populations}, volume={366}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.aax2342}, DOI={10.1126/science.aax2342}, number={6464}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Obermeyer, Ziad and Powers, Brian and Vogeli, Christine and Mullainathan, Sendhil}, year={2019}, month=Oct, pages={447–453} }
Saez & Gu (2023)
10.1016/j.biopsych.2022.09.032
@article{Saez_2023, title={Invasive Computational Psychiatry}, volume={93}, ISSN={0006-3223}, url={http://dx.doi.org/10.1016/j.biopsych.2022.09.032}, DOI={10.1016/j.biopsych.2022.09.032}, number={8}, journal={Biological Psychiatry}, publisher={Elsevier BV}, author={Saez, Ignacio and Gu, Xiaosi}, year={2023}, month=Apr, pages={661–670} }