Menu Close

Publication List

Preprints

  1. Russek, Moran, Liu, Dolan and Huys (2021): Selective outcome reinstatement during evaluation drives heuristics in risky choice psyArxiv
  2. Talwar, Huys, Cormack and Roiser (2021): A Hierarchical Reinforcement Learning Model Explains Individual Differences in Attentional Set Shifting bioRxiv
  3. Sharp, Russek, Huys, Dolan and Eldar (2021): Disengaging punishment avoidance is difficult for humans psyArxiv
  4. Huys and Browning (2021): A Computational View on the Nature of Reward and Value in Anhedonia psyArxiv
  5. Berwian, Wenzel, Kuehn, Schnuerer, Seifritz, Stephan, Walter and Huys (2020): Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting bioRxiv
  6. Lee, Deserno, Kroemer, Pooseh, Oehme, Beuthien-Baumann, Mueller, Goschke, Huys, Smolka (2019): Individual differences in dopamine function underlying the balance between model- based and model-free control bioRxiv

Peer-reviewed original publications

  1. Sebold, Chen, Önal, Kuitunen-Paul, Mojtahedzadeh, Garbusow, Nebe, Wittchen, Huys, Schlagenhauf, Rapp, Smolka and Heinz (2021): Stronger Prejudices are associated with decreased model-based control. Front Psychol
  2. Atiya, Huys, Dolan and Fleming (2021): Explaining distortions in metacognition with an attractor network model of decision uncertainty PLoS Computational Biology (IF: 3.955)17(7): e1009201
  3. Faulkner, Huys, Renz, Eshel, Pilling, Dayan P and Roiser (2021): A Comparison of ‘Pruning’ During Multi-Step Planning in Depressed and Healthy Individuals Psychological Medicine (IF: 5.475)
  4. Charpentier, Faulkner, Pool, Ly, Tollenaar, Kluen, Fransen, Yamamori, Lally, Mkrtchian, Valton, Huys, Morrow, Krenz, Kalbe, Cremer, Zerbes, Kausche, Wanke, Giarrizzo, Pulcu, Murphy, Kaltenboeck, Browning, Paul, Cools, Roelofs, Pessoa, Harmer, Chase, Grillon, Schwabe, Roiser, Robinson and O’Doherty (2021): How representative are neuroimaging samples? Large-scale evidence for trait anxiety differences between MRI and behaviour-only research participants. Soc Cog Aff Neurosci (IF: 3.571)16(10):1057-1070
  5. Chen, Belanger, Mojtahedzadeh, Nebe, Kuitunen-Paul, Sebold, Garbusow, Huys, Heinz, Rapp and Smolka (2021): Model-based and model-free control predicts alcohol consumption developmental trajectory in young adults – a three-year prospective study. Biological Psychiatry (IF: 11.984)89(10): 980–989
  6. Berwian, Wenzel, Kuehn, Schnuerer, Kasper, Veer, Seifritz, Stephan, Walter and Huys (2020): The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse. Scientific Reports (IF: 4.122)10:22346
  7. Sebold, Garbusow, Cerci, Chen, Sommer, Huys, Nebe, Rapp, Veer, Zimmermann, Smolka, Walter, Heinz, Friedel (2020): The association of the OPRM1 A118G polymorphism and Pavlovian-to-instrumental transfer: clinical relevance for alcohol dependence. Journal of Psychopharmacology (IF: 4.738)35(5):566-578
  8. Chen, Nebe, Mojtahedzadeh, Kuitunen-Pauls, Garbusow, Schad, Rapp, Huys, Heinz, Smolka (2020): Susceptibility to interference between Pavlovian and instrumental control is associated with early hazardous alcohol use Addiction Biology (IF: 5.578)26(4):e12983
  9. Kuehnel, Teckentrup, Neuser, Huys, Burrasch, Walter and Kroemer (2020): Stimulation of the vagus nerve reduces learning in a go/no-go reinforcement learning task. European Neuropsychopharmacology (IF: 4.468)37: 17–29
  10. Rupprechter, Stankevicius, Huys, Seriés, Steele (2020): Abnormal Reward Valuation and Event-Related Connectivity in Unmedicated Major Depressive Disorder. Psychological Medicine (IF: 5.475)7:1-9
  11. Berwian, Wenzel, Collins, Seifritz, Stephan, Huys (2020): Computational mechanisms of effort and reward decisions in depression and their relationship to relapse after antidepressant discontinuation. JAMA Psychiatry (IF: 16.642)77(5):513–522
  12. Schad, Rapp, Garbusow, Nebe, Obst, Sommer, Sebold, Deserno, Rabovsky, Friedel, Romanczuk-Seiferth, Wittchen, Zimmermann, Walter, Sterzer, Smolka, Schlagenhauf, Heinz, Dayan, Huys (2020): Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behaviour (IF: 10.575), 4:201-214
  13. Grosskurth, Bach, Economides, Huys and Holper (2019): No substantial change in the balance between model-free and model-based control via training on the two-step task. PLoS Computational Biology (IF: 3.955), 15(11):e1007443
  14. Poldrack, Feingold, Frank, Gleeson, de Hollander, Huys, Love, Markiewicz, Moran, Ritter, Turner, Yarkoni, Zhan and Cohen (2019): The importance of standards for sharing of computational models and data. Computational Brain and Behaviour, 2(3-4):229–232
  15. Garbusow, Nebe, Sommer, Kuitunen-Paul, Sebold, Schad, Friedel, Veer, Wittchen, Rapp, Ripke, Walter, Huys, Schlagenhauf, Smolka and Heinz (2019): Pavlovian-To-Instrumental Transfer and Alcohol Consumption in Young Male Social Drinkers: Behavioral, Neural and Polygenic Correlates. Journal of Clinical Medicine (IF: 5.688)2019, 8(8), 1188
  16. Sommer, Birkenstock, Garbusow, Obst, Schad, Bernhardt, Huys, Wurst, Weinmann, Heinz, Smolka, Zimmermann (2018): Dysfunctional approach behavior triggered by alcohol-unrelated Pavlovian cues predicts long-term relapse in alcohol dependence. Addiction Biology (IF: 5.578)25(1):e12703
  17. Schulz, Wu, Huys, Krause, Speekenbrink (2018): Generalization and Search in Risky Environments. Cognitive Science (IF: 2.617), 42(8):2592-2620.
  18. Kirschner, Sladky, Haugg, Stämpfli, Jehli, Hodel, Engeli, Hösli, Baumgartner, Sulzer, Huys, Seifritz, Quednow, Scharnowski, Herdener (2018): Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback. EBioMedicine (IF: 6.183), 37:489–498
  19. Ousdal, Milde, Craven, Ersland, Endestad, Melinder, Huys, Hugdahl (2018): Prefrontal glutamate levels predict altered amygdala-prefrontal connectivity in traumatized youths. Psychological Medicine (IF: 5.475), 49(11):1822-1830.
  20. Rupprechter, Stankevicius, Huys, Steele, Seriés (2018): Major Depression Impairs the Use of Reward Values for Decision-Making. Scientific Reports (IF: 4.122), 8(1):13798
  21. Nord, Lawson, Huys, Pilling, Roiser (2018): Depression is associated with enhanced aversive Pavlovian control over instrumental behaviour. Scientific Reports (IF: 4.122), 8(1):12582
  22. Kirschner, Haugg, Manoliu, Simon, Huys, Seifritz, Tobler, Kaiser (2018): Deficits in context-dependent adaptive coding in early psychosis and healthy individuals with schizotypal personality traits. Brain (IF: 10.848), 141:2806 – 2819
  23. Webb, Trivedi, Cohen, Dillon, Fournier, Goer, Fava, McGrath, Weissman, Parsey, Adams, Trombello, Cooper, Deldin, Oquendo, McInnis, Huys, Bruder, Kurian, Jha, DeRubeis, Pizzagalli (2018): Personalized prediction of antidepressant versus placebo response: Evidence from the EMBARC study. Psychological Medicine (IF: 5.475), 49(7):1118-1127.
  24. Obst, Schad, Huys, Sebold„ Nebe, Sommer, Smolka, Zimmermann (2018): Drunk decisions: Alcohol shifts choice from habitual towards goal-directed control in adolescent intermediate-risk drinkers. Journal of Psychopharmacology (IF: 4.738), 32(8):855-866
  25. Lally*, Huys*, Eshel, Faulkner, Dayan and Roiser (2017): The neural basis of aversive Pavlovian guidance during planning. Journal of Neuroscience (IF: 5.790), 37(42):10215-10229
  26. Schad, Garbusow, Friedel, Sommer, Sebold, Hägele, Bernhardt, Nebe, Kuitunen-Paul, Liu, Eichmann, Beck, Wittchen, Walter, Sterzer, Zimmermann, Smolka, Schlagenhauf, Huys, Heinz, Rapp (2017): Neural correlates of instrumental responding in the context of alcohol-related cues index disorder severity and risk. European Archives of Psychiatry and Clinical Neuroscience (IF: 3.617), 269(3):295-308
  27. Sommer, Garbusow, Jünger, Pooseh, Bernhardt, Birkenstock, Schad, Jabs, Glöckler, Huys, Heinz, Smolka and Zimmermann (2017): Strong seduction – Impulsivity and the impact of contextual cues on instrumental behavior in alcohol dependence. Translational Psychiatry (IF: 4.691), 7, e1183
  28. Ousdal*, Huys*, Milde, Craven, Ersland, Endestad, Melinder, Hugdahl, Dolan (2017): The impact of traumatic stress on Pavlovian biases. Psychological Medicine (IF: 5.475), 48(2):327-336
  29. Sebold, Nebe, Garbusow, Schad, Beck, Kuitunen-Paul, Sommer, Neu, Zimmermann, Rapp, Smolka, Huys, Schlagenhauf and Heinz (2017): When habits are dangerous: alcohol expectancies and habitual decision-making in alcohol dependence. Biological Psychiatry (IF: 11.984), 82(11):847-856
  30. Lieder, Griffiths, Huys and Goodman (2017): The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review (IF: 3.092), 25(1):322–349
  31. Lieder, Griffiths, Huys and Goodman (2017): Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review (IF: 3.092), 25(2):755–784
  32. Pooseh, Bernhardt, Guevara, Huys and Smolka (2017): Value-based decision-making battery: A Bayesian adaptive approach to assess impulsive and risky behavior. Behavior Research Methods (IF: 3.597)50(1):236-249.
  33. Nebe, Kroemer, Schad, Bernhardt, Sebold, Müller, Scholl, Kuitunen-Paul, Heinz, Rapp, Huys, Smolka (2017): No association of goal-directed and habitual control with alcohol consumption in young adults. Addiction Biology (IF: 5.578), 23(1):379-393
  34. Sebold, Schad, Nebe, Garbusow, Jünger, Kroemer, Kathman, Zimmermann, Smolka, Rapp, Heinz and Huys (2016): Don’t think, just feel the music: Individuals With Strong Pavlovian-to-instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning. Journal of Cognitive Neuroscience (IF: 3.468), 28(7):985–995
  35. Schulz, Huys, Bach, Speekenbrink and Krause (2016): Better safe than sorry: Risky function exploitation through safe optimization. Proc 36th Annual Conference of the Cognitive Science Society
  36. Huys, Renz, Petzschner, Berwian, Stoppel, Haker (2016): German translation and validation of the Cognitive Style Questionnaire short form (CSQ-SF-D). PLoS One (IF: 2.766), 11(3):e0149530
  37. Huys, Gölzer, Friedel, Heinz, Cools, Dayan and Dolan (2016): The specificity of Pavlovian regulation is associated with recovery from depression. Psychological Medicine (IF: 5.475), 46(5):1027–1035
  38. Webb, Gillon, Pechtel, Goer, Murray, Huys, Fava, McGrath, Weissman, Parsey, Kurian, Adams, Weyandt, Trombello, Grannemann, Cooper, Deldin, Tenke, Trivedi, Bruder and Pizzagalli (2016): Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study. Neuropsychopharmacology (IF: 6.544), 41(2):454-63
  39. Garbusow, Schad, Sebold, Friedel, Bernhardt, Koch, Steinacher, Kathmann, Geurts, Sommer, Müller, Nebe, Paul, Wittchen, Zimmermann, Walter, Smolka, Sterzer, Rapp, Huys$^*$, Schlagenhauf$^*$, Heinz$^*$ (2016): Pavlovian-to-instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence. Addiction Biology (IF: 5.578), 21(3):719-31
  40. Deserno$^*$, Huys$^*$, Boehme, Buchert, Heinze, Gace, Dolan, Heinz, Schlagenhauf (2015): Ventral Striatal Dopamine Reflects Behavioral and Neural Signatures of Model-Based Control during Sequential Decision Making. Proceedings of the National Academy of Sciences (IF: 9.504), 112(5):1595-600
  41. Huys, Lally, Faulkner, Seifritz, Gershman, Dayan and Roiser (2015): The interplay of approximate planning strategies. Proceedings of the National Academy of Sciences (IF: 9.504), 112(10):3098-3103
  42. Garbusow, Schad, Sommer, Jünger, Sebold, Friedel, Wendt, Kathmann, Schlagenhauf, Zimmerman, Heinz, Huys$^*$, Rapp$^*$ (2014): Pavlovian-to-Instrumental Transfer in alcohol dependence – a pilot study. Neuropsychobiology (IF: 1.421), 70(2):111-21
  43. Schad, Jünger, Sebold, Garbusow, Bernhardt, Javadi, Zimmermann, Smolka, Heinz, Rapp$^*$, Huys$^*$ (2014): Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning. Frontiers in Psychology(IF: 2.089), 5:1450
  44. Deserno, Beck, Huys, Lorenz, Buchert, Buchholz, Plotkin, Kumakura, Cumming, Heinze, Rapp and Heinz (2014): Chronic alcohol intake abolishes the relationship between dopamine synthesis capacity and learning signals in ventral striatum. European Journal of Neuroscience (IF: 2.832), 41(4):477-86
  45. Friedel, Schlagenhauf, Beck, Dolan, Huys*, Rapp* and Heinz* (2014): The effects of life stress and neural learning signals on fluid intelligence. European Archives of Psychiatry and Clinical Neuroscience (IF: 3.617), 70(2):122-31
  46. Ly, Huys, Stins, Roelofs and Cools (2014): Individual differences in bodily freezing predict emotional biases in decision making. Frontiers in Behavioral Neuroscience (IF: 3.138), 8:237
  47. Sebold, Deserno, Nebe, Schad, Garbusow, Hägele, Keller, Jünger, Kathmann, Smolka, Rapp, Schlagenhauf, Heinz and Huys (2014): Model-based and model-free decisions in alcohol dependence. Neuropsychobiology (IF: 1.421), 70(2):122-31
  48. Stankevicius$^*$, Huys$^*$, Kalra and Seriès (2014): Optimism as a prior belief about the probability of future reward. PLoS Computational Biology (IF: 3.955), 10(5): e1003605
  49. Schlagenhauf$^*$, Huys$^*$, Deserno, Beck and Heinz (2014): Striatal dysfunction during reversal learning in unmedicated schizophrenia patients Neuroimage (IF: 5.426), 89:171-180
  50. Geurts, Huys, den Ouden and Cools (2013): Serotonin and aversive Pavlovian control of instrumental behavior in humans. Journal of Neuroscience (IF: 5.790), 33(48): 18932-18939
  51. Guitart-Masip, Economides, Huys, Frank, Chowdhury, Düzel, Dayan and Dolan (2013): Differential, but not opponent, effects of L-DOPA and citalopram on action learning with reward and punishment. Psychopharmacology (IF: 3.222), 231:955-966
  52. Geurts$^*$, Huys, Den Ouden and Cools (2013): Aversive control of instrumental behaviour in humans. Journal of Cognitive Neuroscience (IF: 3.468), 25(9):1428-41
  53. Huys, Bogdan, Pizzagalli and Dayan (2013): Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis. Biology of Mood and Anxiety Disorders (IF: 4.14), 3:12
  54. Cavanagh, Eisenberg, Guitart-Masip, Huys and Frank (2013): Frontal theta overrides Pavlovian learning biases. Journal of Neuroscience (IF: 5.790), 33(19):8541-8548
  55. Lieder, Goodman and Huys (2013): Learned helplessness and generalization. Proc 35th Annual Conference of the Cognitive Science Society
  56. Chowdhury, Guitart-Masip, Lambert, Dayan, Huys, Düzel and Dolan (2013): Dopamine restores reward prediction errors in older age. Nature Neuroscience (IF: 19.912), 16, 648-653
  57. Huys, Eshel, O’Nions, Sheridan, Dayan and Roiser (2012): Bonsai trees in your head. How Pavlovian systems sculpt goal-directed choices by pruning decision trees. PLoS Computational Biology (IF: 3.955), 8(3):e1002410
  58. Guitart-Masip$^*$, Huys$^*$, Dayan and Dolan (2012): Go and no go learning in reward and punishment: interactions between affect and effect. Neuroimage (IF: 5.426), 62(1):154-66
  59. Schlagenhauf, Rapp, Huys, Beck, Wüstenberg, Deserno, Buchholz, Kalbitzer, Buchert, Bauer, Kienast, Cumming, Plotkin, Kumakura, Grace, Dolan and Heinz (2012): Ventral striatal prediction error signaling is associated with dopamine synthesis capacity and fluid intelligence. Human Brain Mapping (IF: 4.927), 34(6):1490-9
  60. Guitart-Masip, Fuentemilla, Bach, Huys, Dayan, Dolan, and Düzel (2011): Action dominates valence in anticipatory representations in the human striatum and dopaminergic midbrain. Journal of Neuroscience (IF: 5.790), 31:7867-75
  61. Huys, Cools, Gölzer, Friedel, Heinz, Dolan and Dayan (2011): Approaching avoidance: Instrumental and Pavlovian asymmetries in the processing of rewards and punishments. PLoS Computational Biology (IF: 3.955), 7(4):e1002028
  62. Huys and Dayan (2009): A Bayesian formulation of behavioral control. Cognition (IF: 3.354), 113:314-28
  63. Huys and Paninski (2009): Smoothing of, and parameter estimation from, noisy biophysical recordings. PLoS Computational Biology (IF: 3.955), 5(5):e1000379
  64. Huys, Vogelstein and Dayan (2008): Psychiatry: insights into depression through normative decision-making models. Advances in Neural information processing systems (IF: 4.56)
  65. Dayan and Huys (2008): Serotonin, inhibition and negative mood. PLoS Computational Biology (IF: 3.955), 4(2):e4
  66. Natarajan, Huys, Dayan, Zemel (2008): Dynamic population codes for sensorimotor processing. Neural computation (IF: 1.651), 20:2325-60
  67. Nouraei$^*$, Huys, Chatrath, Powles and Harcourt (2007): Screening patients with sensorineural hearing loss for a vestibular Schwannoma using a Bayesian classifier. Clinical Otolarnyngology (IF: 2.696), 32:248-54
  68. Huys, Zemel, Natarajan and Dayan (2007): Fast population coding, Neural computation (IF: 1.651), 19(2):460-97
  69. Huys, Ahrens and Paninski (2006): Efficient estimation of detailed single-neuron models. Journal of Neurophysiology (IF: 2.502), 96: 872-890
  70. Ahrens, Huys and Paninski (2006): Large-scale biophysical parameter estimation in single neurons via constrained linear regression. Advances in Neural information processing systems (IF: 4.56)
  71. Zemel, Huys, Natarajan and Dayan (2005): Probabilistic computations with spiking populations. Advances in Neural information processing systems (IF: 4.56)

Reviews

  1. Reiter, Atiya, Berwian and Huys (2021): Neuro-cognitive processes as mediators of psychological treatment effects. Current Opinion in Behavioural Sciences, In Press
  2. Huys, Browning, Paulus and Frank (2020): Advances in the computational understanding of mental illness. Neuropsychopharmacology (IF: 6.544), 46(1):3-19
  3. Durstewitz, Huys and Koppe (2020): Psychiatric Illnesses as Disorders of Network Dynamics. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, In Press
  4. Rutledge, Chekroud and Huys (2019): Machine learning and big data in psychiatry: toward clinical applications. Current Opinion in Neurobiology (IF: 6.541), 55:152–159
  5. Huys and Renz (2017): A formal valuation framework for emotions and their control. Biological Psychiatry (IF: 11.984), 82: 413–420
  6. Berwian, Seifritz, Walter and Huys (2017): Predicting relapse after antidepressant discontinuation – a systematic review. Psychological Medicine (IF: 5.475), 47(3):426-437
  7. Stephan, Schlagenhauf, Huys, Raman, Aponte, Brodersen, Rigoux, Moran, Daunizeau, Dolan, Friston and Heinz (2017): Computational neuroimaging strategies for single patient predictions. Neuroimage (IF: 5.426), 145(Pt B):180-199
  8. Huys, Deserno, Obermayer, Schlagenhauf and Heinz (2016): Model-free temporal-difference learning and dopamine in alcohol dependence: examining concepts from theory and animals in human imaging Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5):401-410
  9. Huys, Maia$^*$ and Frank (2016): Computational Psychiatry as a bridge between neuroscience and clinical applications. Nature Neuroscience (IF: 19.912), 19(3):404–413
  10. Paulus, Huys and Maia (2016): A Roadmap for the Development of Applied Computational Psychiatry. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5):386-392
  11. Stephan, Binder, Breakspear, Dayan, Johnstone, Meyer-Lindenberg A, Schnyder, Wang, Bach, Fletcher, Flint, Frank, Heinz, Huys, Montague, Owen, Friston (2016): Charting the Landscape of Priority Problems in Psychiatry. Part 2: Pathogenesis and Aetiology. Lancet Psychiatry (IF: 15.233), 3(1):84–90
  12. Stephan, Bach, Fletcher, Flint, Frank, Friston, Heinz, Huys, Owen, Binder, Dayan, Johnstone, Meyer-Lindenberg, Montague, Schnyder, Wang, Breakspear (2016): Charting the Landscape of Priority Problems in Psychiatry. Part 1: Nosology and Diagnosis. Lancet Psychiatry (IF: 15.233), 3(1):77–83
  13. Adams, Huys and Roiser (2016): Computational Psychiatry: Towards a mathematically defined understanding of mental illness. Journal of Neurology, Neurosurgery and Psychiatry (IF: 7.144), 87(1):53-63
  14. Huys, Guitart-Masip, Dolan and Dayan (2015): Decision-theoretic psychiatry. Clinical Psychological Science (IF: NA ), 3(3):400-421
  15. Huys, Daw and Dayan (2015): Depression. A decision-theoretic approach. Annual Reviews in Neuroscience (IF: 14.675), 31:1-23
  16. Huys, Tobler, Hasler and Flagel (2014): The role of learning-related dopamine signals in addiction vulnerability. Progress in Neurobiology (IF: 14.163), 211:31-77
  17. Huys, Moutoussis and Williams (2011): Are computational models useful for psychiatry? Neural Networks (IF: 7.982), 24(6):544-551
  18. Dayan and Huys (2009): Serotonin in affective control. Annual Reviews in Neuroscience (IF: 14.675), 32:95-126

Book chapters

  1. Visser, Anderson, Aron, Banich, Brady, Huys, Monfils, Schiller, Schlagenhauf, Schooler, & Robbins, T. W. (2020): Neuropsychological mechanisms of intrusive thinking. In Intrusive Thinking: From Molecules to Free Will, edited by P. W. Kalivas and M. P. Paulus. Strüngmann Forum Reports, vol. 30, J. R. Lupp, series editor. Cambridge, MA: MIT Press.
  2. Huys (2020): Computational cognitive methods for precision psychiatry. In: Williams and Hack (Ed): Precision Psychiatry. Using Neuroscience Insights to Inform Personally Tailored, Measurement-Based Care. APA.
  3. Huys, and Seriés (2019): Reward-Based Learning, Model-Based and Model-Free. In Jaeger, D and Jung, R (Ed): Encyclopædia of Computational Neuroscience. SpringerReference. Springer Verlag Berlin Heidelberg, 2019.
  4. Huys (2017): Bayesian approaches to Learning and Decision Making. in: Computational Psychiatry: Mathematical Modelling of Mental Disorders. Editors: Alan Anticevic and John Murray
  5. Huys (2016): A valuation framework for emotions applied to depression and recurrence. In: Computational Psychiatry: New Perspectives on Mental Illness, edited by A. D. Redish and J. A. Gordon. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor. Cambridge, MA: MIT Press
  6. Totah, Akil, Huys, Krystal, MacDonald III, Maia, Malenka and Pauli (2016): Complexity and Heterogeneity in psychiatric disorders. In: Computational Psychiatry: New Perspectives on Mental Illness, edited by A. D. Redish and J. A. Gordon. Strüngmann Forum Reports, vol. 20, J. Lupp, series editor. Cambridge, MA: MIT Press
  7. Cools, den Ouden and Huys (2016): How do emotion and cognition interact? In Fox AS et al., (eds), The nature of emotion, 2nd edition.
  8. Huys, Cruickshank and Seriés (2014): Model-based and model-free decision-making. In: Jaeger, D and Jung, R (Ed): Encyclopædia of Computational Neuroscience. SpringerReference. Springer Verlag Berlin Heidelberg, 2014.
  9. Huys (2013): Computational Psychiatry. In: Jaeger, D and Jung, R (Ed): Encyclopædia of Computational Neuroscience. SpringerReference. Springer Verlag Berlin Heidelberg, 2013.

Commentaries, Editorials & Misc.

  1. Huys (2020): Computational Psychiatry Series Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
  2. Browning, Carter, Chatham, Den Ouden, Gillan, Baker, Chekroud, Cools, Dayan, Gold, Goldstein, Hartley, Kepecs, Lawson, Mourao-Miranda, Phillips, Pizzagalli, Powers, Rindskopf, Roiser, Schmack, Schiller, Sebold, Stephan, Frank, Huys and Paulus (2020): Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. Biological Psychiatry (IF: 11.984)
  3. Russek, Moran, McNamee, Reiter, Liu, Dolan and Huys (2020): Opportunities for emotion and mental health research in the resource-rationality framework Behavioral and Brain Sciences (IF: XX.XXX), 43:e21
  4. Mihalik, Adams and Huys (2020): Canonical correlation analysis for identifying biotypes of depression Biological Psychiatry: Cognitive Neuroscience and Neuroimaging5(5): 478-480
  5. Huys (2018): Advancing Clinical Improvements for Patients Using the Theory-Driven and Data-Driven Branches of Computational Psychiatry. JAMA Psychiatry (IF: 16.642), 75(3):225-226
  6. Maia*, Huys* and Frank (2017): Theory-based Computational Psychiatry. Biological Psychiatry (IF: 11.984), 82: 382–384
  7. Huys, Maia and Paulus (2016): Computational psychiatry: from mechanistic insights to the development of new treatments. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5):382-385
  8. Huys (2016): Rückfallvorhersage bei Depressionen: welche Rolle spielen Schuldgefühle? Info Neurologie und Psychiatrie (IF: 0.395)
  9. Berwian, Seifritz, Walter, Huys (2016): Rückfallvorhersage nach Absetzen von Antidepressiva. Info Neurologie und Psychiatrie (IF: 0.395), 14(2):16-19
  10. Huys and Petzschner (2015): Failure modes of the will: From goals to habits to compulsions? American Journal of Psychiatry (IF: 5.365), 172(3):1-3
  11. Dayan and Huys (2015): Serotonin’s many meanings elude simple theories. eLife (IF: 7.616), 4:e07390
  12. Conradi, Holper and Huys (2014): Sucht und Schizophrenie. Pro Mente Sana, 4:28
  13. Genauck, Huys, Heinz and Rapp (2013): Pavlovian-Instrumental Transfer as learning paradigm to investigate Alcohol dependency. Sucht (IF: 0.417), 59(4):215-223
  14. Huys and Dayan (2009): Computational Unhappiness. Frontiers in Computational Neuroscience (IF: 2.073), 3:263