Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Bd. 2021, 78. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, 19. Juli 2021 - 23. Juli 2021. MIT Press (2021)

Prosi, J.; Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: The dynamical regime and its importance for evolvability, task performance and generalization. In: Artificial Life Conference Proceedings, Bd. 2021, 79. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, 19. Juli 2021 - 23. Juli 2021. MIT Press (2021)

Tano, P.; Dayan, P.; Pouget, A.: A local temporal difference code for distributional reinforcement learning. In: Advances in Neural Information Processing Systems 33, S. 13662 - 13673 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.-F.; Lin, H.-T.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 06. Dezember 2020 - 12. Dezember 2020. Curran, Red Hook, NY, USA (2021)

Ahilan, S.; Dayan, P.: Correcting Experience Replay for Multi-Agent Communication. In: Ninth International Conference on Learning Representations (ICLR 2021). Ninth International Conference on Learning Representations (ICLR 2021), Vienna, Austria, 03. Mai 2021 - 07. Mai 2021. (2021)

Xia, L.; Master, S.; Eckstein, M.; Wilbrecht, L.; Collins, A.: Learning under uncertainty changes during adolescence. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, S. 716 - 722 (Hg. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, 29. Juli 2020 - 01. August 2020. Curran, Red Hook, NY, USA (2020)

Sezener, E.; Dayan, P.: Static and Dynamic Values of Computation in MCTS. 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020), 03. August 2020 - 06. August 2020. Proceedings of Machine Learning Research (PMLR) 124, 26, S. 31 - 40 (2020)

Browning, M.; Carter, C.; Chatham, C.; Den Ouden, H.; Gillan, C.; Baker, J.; Chekroud, A.; Cools, R.; Dayan, P.; Gold, J. et al.; Goldstein, R.; Hartley, C.; Kepecs, A.; Lawson, R.; Mourao-Miranda, J.; Phillips, M.; Pizzagalli, D.; Powers, A.; Rindskopf, D.; Roiser, J.; Schmack, K.; Schiller, D.; Sebold, M.; Stephan, K.; Frank, M.; Huys, Q.; Paulus, M.: Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. Banbury Center Meeting 2019, Huntington, NY, USA, 2019-02. Biological Psychiatry 88 (2), S. e5 - e10 (2020)

Dezfouli, A.; Ashtiani, H.; Ghattas, O.; Nock, R.; Dayan, P.; Ong, C.: Disentangled behavioural representations. In: Advances in Neural Information Processing Systems 32, S. 2243 - 2252 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc, F.; Fox, E. et al.). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09. Dezember 2019 - 13. Dezember 2019. Curran, Red Hook, NY, USA (2020)

Jain, Y.; Gupta, S.; Rakesh, V.; Dayan, P.; Callaway, F.; Lieder, F.: How do people learn how to plan? In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-2A.70, S. 826 - 829. Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, 13. September 2019 - 16. September 2019. (2019)

Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. In: Annual Conference of the American Library Association (ALA 2019), 5, S. 1 - 5. Annual Conference of the American Library Association (ALA 2019) , Washington, DC, USA, 20. Juni 2019 - 25. Juni 2019. (2019)

Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. In: Workshop on Structure & Priors in Reinforcement Learning (SPiRL 2019) at ICLR 2019, S. 1 - 11. Workshop on Structure & Priors in Reinforcement Learning (SPiRL 2019) at ICLR 2019, New Orleans, LA, USA, 06. Mai 2019. (2019)

Eschenko, O.: The Activity Dynamics of the Locus Coeruleus Noradrenergic Neurons during Sleep and its Role in Systems-Level Memory Consolidation. In Neuroforum, 31 (1 Supplement), S35-2, S. 240. 16th Göttingen Meeting of the German Neuroscience Society, 40th Göttingen Neurobiology Conference, Göttingen, Germany, 26. März 2025 - 29. März 2025. De Gruyter, Berlin (2025)

Diaconescu, A.; Laessing, P.; Karvelis, P.; Dayan, P.: Formalizing Pavlovian Biases During Probabilistic Aversive Learning for Suicide Prevention. In Biological Psychiatry, 95 (10 Supplement), S. S63. 79th Annual Scientific Meeting of the Society of Biological Psychiatry (SOBP 2024), Austin, TX, USA, 09. Mai 2024 - 11. Mai 2024. Elsevier, New York (2024)

Nath, S.; Shen, K.; Dayan, P.; Brielmann, A.: Quantifying Complexity in Synthetic and Natural Images. In XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), S. 34. XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), Palma de Mallorca, Spain, 08. Mai 2024 - 10. Mai 2024. (2024)

Rachum, R.; Nakar, Y.; Tomlinson, B.; Alon, N.; Mirsky, R.: Emergent Dominance Hierarchies in Reinforcement Learning Agents. In 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), S. 2426 - 2428. 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), Auckland, New Zealand, 06. Mai 2024 - 10. Mai 2024. (2024)

Kastner, D.; Holobetz, C.; Yokotoa, N.; Williams, G.; Romano, J.; Dayan, P.: Slow progress of learning in rats haploinsufficient for a high-risk ASD gene. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO01.09, S. 9 - 10. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, 11. November 2023 - 15. November 2023. (2023)

Kurtz David, V.; Alladi, V.; Sinha, S.; Bucher, S.; Brandenburger, A.; Louie, K.; Dewan, A.; Glimcher, P.; Tymula, A.: Inefficient Divisive Normalization: Human Choosers Employ Divisive Normalization Even When They Should Not. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.13, S. 544. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, 11. November 2023 - 15. November 2023. (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.08, S. 538 - 539. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, 11. November 2023 - 15. November 2023. (2023)

Bruijns, S.; Dayan, P.: Dissecting the Complexities of the Learning Curve With State-Based Models. In NeNa Conference 2023: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T12, S. 25. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany, 11. September 2023 - 13. September 2023. (2023)

Zeraati, R.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Role of single-neuron and network-mediated timescales in recurrent neural networks solving long-memory tasks. In Bernstein Conference 2023, CT 4. Bernstein Conference 2023, Berlin, Germany, 26. September 2023 - 29. September 2023. (2023)

Basgol, H.; Raab, F.; Dayan, P.; Franz, V.: Violations of Visual Regularities Induce Pupil Dilation Responses. In Abstracts 66th TeaP, S. 57 (Hg. Fröber, K.; Abel, M.; Bäuml, K.-H.; Dreisbach, G.; Kliegl, O. et al.). 66th Conference of Experimental Psychologists: TeaP 2024: Tagung experimentell arbeitender Psycholog:innen, Regensburg, Germany, 17. März 2024 - 20. März 2024. Pabst Science, Lengerich, Germany (2023)

Buendía, V.: On mesoscopic, finite-size populations of stochastic coupled oscillators. In III Conference of the Italian Society of Statistical Physics (SIFS 2023). III Conference of the Italian Society of Statistical Physics (SIFS 2023), Parma, Italy, 21. Juni 2023 - 23. Juni 2023. (2023)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty. In Abstracts of the 65th TeaP, S. 262 - 263 (Hg. Merz, S.; Frings, C.; Leuchtenberg, B.; Moeller, B.; Neumann, R. et al.). 65th Conference of Experimental Psychologists: TeaP 2023: Tagung experimentell arbeitender Psycholog:innen, Trier, Germany, 26. März 2023 - 29. März 2023. ZPID, Trier, Germany (2023)

Zamfir, E.; Dayan, P.: Interactions Between Causal Attributions And Beliefs: Evidence From A Novel Computer Game Task. In 48. Jahrestagung Psychologie & Gehirn (PuG 2023), S31.2, S. 139. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany, 08. Juni 2023 - 10. Juni 2023. (2023)

Eschenko, O.: The role of noradrenergic transmission for saliency signaling and perception. In CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023. CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany, 10. März 2023 - 11. März 2023. (2023)

Burgess, H.; Barnby, J.; Dean, R.; MacKenzy, L.; Thomas, R.; Dayan, P.; Richards, L.: Neurocog.js; A new tool for running cognitive experiments in both lab and online environments. In 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), 164.24. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA, 12. November 2022 - 16. November 2022. (2022)

Bellucci, G.: Trading off subjective values and social expectations for interpersonal trust. In 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), S. 144. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany, 05. September 2022 - 07. September 2022. (2022)

Pombo, M.; Brielmann, A.; Pelli, D.: When judging beauty, order matters only if the stimuli are homogeneous. In The Visual Science of Art Conference (VSAC 2022). The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands, 24. August 2022 - 27. August 2022. (2022)

Buendía, V.: The excitatory-inhibitory branching process: a parsimonious view of cor- tical asynchronous states, excitability, and criticality. In II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems. II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems, Parma, Italy, 20. Juni 2022 - 22. Juni 2022. (2022)

Klippert, A.; Montesano, A.; Dinkel, H.; Monheim, F.: Anishare: An Open-Source Software to Improve the Use of Surplus Laboratory Animals and Organs. In Laboratory Animals, 56 (Supplement 1), S2E1.1, S. 35 - 36. 15th FELASA Congress 2022, Marseille, France, 13. Juni 2022 - 16. Juni 2022. Laboratory Animals Ltd., London (2022)

Brielmann, A.; Berentelg, M.; Dayan, P.: A computational model predicts individual aesthetic judgments. In 64th Conference of Experimental Psychologists: TeaP 2022, S. 37 - 38 (Hg. Malejka, S.; Barth, M.; Haider, H.; Stahl, C.). 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany, 20. März 2022 - 23. März 2022. Pabst, Lengerich, Germany (2022)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Towards a computational cognitive perspective of misinformation. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T10, S. 11. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, 07. Oktober 2021. (2021)

Bellucci, G.; Park, S.: How to trust when lonely? The effects of loneliness on behaviors and expectations in trusting interactions. In Journal of Neuroscience, Psychology, and Economics, 2022 (3), S. 18. 17th NeuroPsychoEconomics Conference 2021: “Bridging Neuroscience, Psychology, and Economics” , Amsterdam, The Netherlands, 10. Juni 2021 - 11. Juni 2021. Educational Publishing Foundation, Washington, DC, USA (2021)

Buendía, V.: Sincronización crítica en el cerebro: una perspectiva físico-estadística. In I Congreso FisEs '21 Joven. I Congreso FisEs '21 Joven, 05. Mai 2021 - 06. Mai 2021. (2021)

Dayan, P.; Lloyd, K.: Aversion or Inversion: The Curious Case of Dopamine and Punishment [Aversion ou inversion: le cas curieux de la Dopamine et la punition]. In NeuroFrance 2021, S28.2. NeuroFrance 2021, Strasbourg, France, 19. Mai 2021 - 21. Mai 2021. (2021)

Deserno, L.; Moran, R.; Lee, Y.; Michely, J.; Dayan, P.; Dolan, R.: Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. In Biological Psychiatry, 89 (9 Supplement), S. S94. 2021 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2021), 29. April 2021 - 01. Mai 2021. Elsevier, New York (2021)

Dayan, P.: Impact beyond neuroscience (translational non-clinical). In FENS 2020 Virtual Forum, 1522. FENS 2020 Virtual Forum, Glasgow, UK, 11. Juli 2020 - 15. Juli 2020. (2020)

Rouault, C.; Dayan, P.; Fleming, S.: Forming global estimates of self-performance from local confidence. In 61st Conference of Experimental Psychologists: 61. TeaP 2019 (Tagung Experimentell Arbeitender PsychologInnen) (Hg. Lange-Küttner, C.). 61st Conference of Experimental Psychologists (TEAP 2019), London, UK, 15. April 2019 - 17. April 2019. Pabst, Lengerich, Germany (2020)

Dayan, P.; Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dolan, R.: Anticipation, imagination and information seeking via mid-brain, hippocampal, and prefrontal interactions. In 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019), 018.12, S. 103 - 104. 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019), Chicago, IL, USA, 19. Oktober 2019 - 23. Oktober 2019. (2019)

Mendl, M.; Jones, S.; Neville, V.; Higgs, L.; Robinson, E.; Dayan, P.; Paul, E.: An automated and self-initiated judgement bias task based on natural investigative behaviour. In Applied Ethology 2019: Animal lives worth living: 53rd Congress of the International Society of Applied Ethology (ISAE 2019), S. 126 (Hg. Newberry, R.; Braastad, B.). 53rd Congress of the International Society of Applied Ethology (ISAE 2019), Bergen, Norway, 05. August 2019 - 09. August 2019. Wageningen Academic Publishers, Wageningen, The Netherlands (2019)

Neville, V.; Paul, L.; Dayan, P.; Gilchrist, I.; Mendl, M.: Investigating animal affect and welfare using computational modelling. In Applied Ethology 2019: Animal lives worth living: 53rd Congress of the International Society of Applied Ethology (ISAE 2019), S. 127 (Hg. Newberry, R.; Braastad, B.). 53rd Congress of the International Society of Applied Ethology (ISAE 2019), Bergen, Norway, 05. August 2019 - 09. August 2019. Wageningen Academic Publishers, Wageningen, The Netherlands (2019)

Vilares, I.; Nolte, T.; Hula, A.; Cui, Z.; Fonagy, P.; Zhu, L.; Chiu, P.; King-Casas, B.; Lohrenz, T.; Dayan, P. et al.; Montague, R.: Computational Phenotyping in Borderline Personality Using a Role-Based Social Hierarchy Probe. In Biological Psychiatry, 85 (10 Supplement), O8, S. S108. 74th Annual Meeting of the Society of Biological Psychiatry, Chicago, IL, USA, 16. Mai 2019 - 18. Mai 2019. Elsevier, New York (2019)

Eschenko, O.; Mednick, S.: New perspectives on the locus coeruleus: noradrenergic activity during sleep and its role in memory function. 16th Göttingen Meeting of the German Neuroscience Society, 40th Göttingen Neurobiology Conference, Göttingen, Germany (2025)

Dayan, P.: Navigating uncertainty: reward location variability induces reorganization of hippocampal spatial representations. Max Planck School of Cognition: Cognition Colloquium, Leipzig, Germany (2024)

Bruijns, S.; Chebolu, S.: Computations and mechanisms in neural reinforcement learning. Systems Neuroscience Symposium (SNS 2024), Tübingen, Germany (2024)

Dayan, P.: "Liking" as a First Draft of the Affective Future. 11th Biennial Neuroscience Conference (NEURIZONS 2024), Göttingen, Germany (2024)

Dayan, P.; Lloyd, K.; Nazemorroaya, A.; Bang, D.: Controlling the Controller: Instrumental Manipulations of Pavlovian Influences via Dopamine. Fifth International Convention on the Mathematics of Neuroscience and AI (Neuromonster 2024), Roma, Italy (2024)

Dayan, P.: Mindgames. Center for Brains Minds + Machines, Cambridge, MA, USA (2023)

Dayan, P.; Chen, K.; Gagne, C.; Lloyd, K.; Sui, X.: Risk in Sequential Decisions. 11th Bernoulli Lecture for the Behavioral Sciences: University of Basel, Basel, Switzerland (2023)

Lloyd, K.: Models of Action Selection: MDP. Computational Psychiatry Course Zurich 2023, Zürich, Switzerland (2023)

Dayan, P.: Top-down and bottom-up neuromodulation of visual decoding. Systems Vision Science: Summer School & Symposium, Tübingen, Germany (2023)

Eschenko, O.: The role of noradrenergic transmission for saliency signaling and perception. 11th CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany (2023)

Dayan, P.: "‘Liking" as shaping, "‘wanting" as reinforcing. Swedish Basal Ganglia Society: Webinar Reinforcement Learning (2022)

Dayan, P.: Risking your tail: curiosity, danger and exploration. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Dayan, P.: Replay and preplay in planning and exploration. Washington University School of Medicine: Department of Neuroscience, St. Louis, MO, USA (2022)

Brielmann, A.: A computational model of sensory valuation. Max Planck Institute for Empirical Aesthetics , Frankfurt a.M., Germany (2022)

Brielmann, A.; Berentelg, M.; Dayan, P.: The intrinsic reward of sensory experiences. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Brielmann, A.: Boredom in aesthetic experiences. The Third International Symposium on the Mathematics of Neuroscience (Neuromonster 2022), Heraklion, Greece (2022)

Brielmann, A.: Is pleasure enough? 2022 Biennial Congress of the International Association of Empirical Aesthetics (IAEA 2022), Philadelphia, PA, USA (2022)

Dayan, P.: Learning from scratch: Non-parametric models of task acquisition over the long run. The Third International Symposium on the Mathematics of Neuroscience (Neuromonster 2022), Heraklion, Greece (2022)

Dayan, P.: Generative and discriminative reinforcement learning as model-based and model-free control. Second International Conference on Error-Driven Learning in Language (EDLL 2022), Tübingen, Germany (2022)

Solopchuk, O.: Active sensing with artificial neural networks. Freie Universität, Department of Education and Psychology, Center for Cognitive Neuroscience Berlin, Berlin, Germany (2022)

Dayan, P.: Replay and preplay in planning in humans. Talking Science 2022, München, Germany (2022)

Gagne, C.: Risk-sensitive planning and sampling in simple and complex generative models. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022) Workshop, Providence, RI, USA (2022)

Brielmann, A.: A feature-based computational account of individual and sequential variability in aesthetics. Eberhard-Karls-Universität, Mathematisch-Naturwissenschaftliche Fakultät, Fachbereich Psychologie , Tübingen, Germany (2022)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA (2022)

Eschenko, O.: The locus coeruleus saliency signaling affects sensory perception by increasing arousal. IGSN / SFB 874 Conference: Sensory Encoding And The Emergence Of Memory , Bochum, Germany (2022)

Buendia Ruiz-Azuaga, V.: Synchronization transitions and brain criticality. Young Seminars SIFS: Società Italiana di Fisica Statistics, Roma, Italy (2022)

Brielmann, A.; Dayan, P.: A computational model of aesthetic value. 43rd European Conference on Visual Perception (ECVP 2021) (2021)

Dinkel, H.: Software Carpentry & Open Life Science: two great initiatives. The TNC Open Science Initiative, Tübingen, Germany (2021)

Dayan, P.: "Liking" as a First Draft of the Affective Future. Champalimaud Research Symposium 2021: Dialogues on Neural and Machine Intelligence, Lisboa, Portugal (2021)

Chatterjee, A.; Fingerhut, J.; Nadal, M.; Skov, M.; Brielmann, A.: The concept of Aesthetic Emotions in the age of neuroasthetics: a roundtable discussion. XXVI Congress of the International Association of Empirical Aesthetics (IAEA 2021) (2021)

Dayan, P.: Factual and Counterfactual Dopamine. Bernstein Conference 2021 Satellite Workshop: Distributed Representations in RL: from AI to Dopamine (2021)

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)

Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)

Dayan, P.: Computational Psychiatry. Workshop: Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry, Saarbrücken, Germany (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. California Institute of Technology: T&C Chen Center for Social Decision Neuroscience Seminar, Pasadena, CA, USA (2021)

Dinkel, H.: SoftwareCarpentry: Extrakurrikuläre Weiterbildung für den Forscher von heute. FDM-Kompetenzen: Forschungsdaten an den Max-Planck-Instituten (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. The Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center: Bar-Ilan University, Ramat Gan, Israel (2021)

Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)

Chatterjee, A.; Salingaros, N.; Brielmann, A.: Neuroaesthetics and Cognitive Architecture. The Traditional Architecture Gathering TAG 4 Session 2 (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)

Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (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)

Dayan, P.: Replay and Preplay in Human Planning. Jülich Forschungszentrum: Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6 / IAS-6), Jülich, Germany (2020)

Dinkel, H.: Version Control with Git & GitHub. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry - Virtual (2020)

Dayan, P.: Replay in Offline Planning. Pattern Recognition in Neuroimaging Summer School 2020 (PRNI), Wien, Austria (2020)

Dayan, P.: Replay. 43th Annual Meeting of the Japan Neuroscience Society, Kobe, Japan (2020)

Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Machine Learning in Science: Virtual Cluster Conference, Tübingen, Germany (2020)

Dayan, P.: Model based and model free interactions: inference, influence and confidence. 2020 Intelligent Systems Summer Colloquium, Tübingen, Germany (2020)

Laurent, G.; Yaksi, E.; Lüscher, C.; Ming, G.-L.; Roberts, A.; Dayan, P.; Bale, T.; Tracey, I.: The Brain Debate. FENS 2020 Virtual Forum, Glasgow, UK (2020)

Dayan, P.: Machine learning for Computational Neuroscience. Machine Learning Summer School (MLSS 2020), Tübingen, Germany (2020)

Dayan, P.: All Models Are Wronged. Gordon Research Conference: Functions of the Basal Ganglia from Thought to Action , Ventura, CA, USA (2020)

Dayan, P.: Neural Reinforcement Learning. Forschungskolloquium 2020 der Medizinischen Fakultät, Tübingen, Germany (2020)

Dayan, P.: Savouring and its Modulation by Prediction Errors. Central European University, Budapest, Hungary (2019)

Dayan, P.; Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dolan, R.: Savouring and its Modulation by Prediction Errors. Departmental Colloquium Max Planck for Biological Cybernetics, Tübingen, Germany (2019)

Dinkel, H.: Introduction of Linear motifs. EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)