Vortrag (83)

199.
Vortrag
Eschenko, O.: The role of noradrenergic transmission for saliency signaling and perception. 11th CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany (2023)
200.
Vortrag
Dayan, P.: "‘Liking" as shaping, "‘wanting" as reinforcing. Swedish Basal Ganglia Society: Webinar Reinforcement Learning (2022)
201.
Vortrag
Dayan, P.: Risking your tail: curiosity, danger and exploration. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)
202.
Vortrag
Dayan, P.: Replay and preplay in planning and exploration. Washington University School of Medicine: Department of Neuroscience, St. Louis, MO, USA (2022)
203.
Vortrag
Brielmann, A.: A computational model of sensory valuation. Max Planck Institute for Empirical Aesthetics , Frankfurt a.M., Germany (2022)
204.
Vortrag
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)
205.
Vortrag
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)
206.
Vortrag
Brielmann, A.: Boredom in aesthetic experiences. The Third International Symposium on the Mathematics of Neuroscience, Heraklion, Greece (2022)
207.
Vortrag
Brielmann, A.: Is pleasure enough? 2022 Biennial Congress of the International Association of Empirical Aesthetics (IAEA 2022), Philadelphia, PA, USA (2022)
208.
Vortrag
Dayan, P.: Learning from scratch: Non-parametric models of task acquisition over the long run. The Third International Symposium on the Mathematics of Neuroscience, Heraklion, Greece (2022)
209.
Vortrag
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)
210.
Vortrag
Solopchuk, O.: Active sensing with artificial neural networks. Freie Universität, Department of Education and Psychology, Center for Cognitive Neuroscience Berlin, Berlin, Germany (2022)
211.
Vortrag
Dayan, P.: Replay and preplay in planning in humans. Talking Science 2022, München, Germany (2022)
212.
Vortrag
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)
213.
Vortrag
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)
214.
Vortrag
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA (2022)
215.
Vortrag
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)
216.
Vortrag
Buendia Ruiz-Azuaga, V.: Synchronization transitions and brain criticality. Young Seminars SIFS: Società Italiana di Fisica Statistics, Roma, Italy (2022)
217.
Vortrag
Brielmann, A.; Dayan, P.: A computational model of aesthetic value. 43rd European Conference on Visual Perception (ECVP 2021) (2021)
218.
Vortrag
Dinkel, H.: Software Carpentry & Open Life Science: two great initiatives. The TNC Open Science Initiative, Tübingen, Germany (2021)
219.
Vortrag
Dayan, P.: "Liking" as a First Draft of the Affective Future. Champalimaud Research Symposium 2021: Dialogues on Neural and Machine Intelligence, Lisboa, Portugal (2021)
220.
Vortrag
Chatterjee, A.; Fingerhut, J.; Nadal, M.; Skov, M.; Brielmann, A.: Panel Discussion 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)
221.
Vortrag
Dayan, P.: Factual and Counterfactual Dopamine. Bernstein Conference 2021 Satellite Workshop: Distributed Representations in RL: from AI to Dopamine (2021)
222.
Vortrag
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)
223.
Vortrag
Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)
224.
Vortrag
Dayan, P.: Computational Psychiatry. Workshop: Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry, Saarbrücken, Germany (2021)
225.
Vortrag
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)
226.
Vortrag
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)
227.
Vortrag
Dinkel, H.: SoftwareCarpentry: Extrakurrikuläre Weiterbildung für den Forscher von heute. FDM-Kompetenzen: Forschungsdaten an den Max-Planck-Instituten (2021)
228.
Vortrag
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)
229.
Vortrag
Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)
230.
Vortrag
Chatterjee, A.; Salingaros, N.; Brielmann, A.: Neuroaesthetics and Cognitive Architecture. The Traditional Architecture Gathering TAG 4 Session 2 (2021)
231.
Vortrag
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)
232.
Vortrag
Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (2021)
233.
Vortrag
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)
234.
Vortrag
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)
235.
Vortrag
Dinkel, H.: Version Control with Git & GitHub. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry - Virtual (2020)
236.
Vortrag
Dayan, P.: Replay in Offline Planning. Pattern Recognition in Neuroimaging Summer School 2020 (PRNI), Wien, Austria (2020)
237.
Vortrag
Dayan, P.: Replay. 43th Annual Meeting of the Japan Neuroscience Society, Kobe, Japan (2020)
238.
Vortrag
Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Machine Learning in Science: Virtual Cluster Conference, Tübingen, Germany (2020)
239.
Vortrag
Dayan, P.: Model based and model free interactions: inference, influence and confidence. 2020 Intelligent Systems Summer Colloquium, Tübingen, Germany (2020)
240.
Vortrag
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)
241.
Vortrag
Dayan, P.: Machine learning for Computational Neuroscience. Machine Learning Summer School (MLSS 2020), Tübingen, Germany (2020)
242.
Vortrag
Dayan, P.: All Models Are Wronged. Gordon Research Conference: Functions of the Basal Ganglia from Thought to Action , Ventura, CA, USA (2020)
243.
Vortrag
Dayan, P.: Neural Reinforcement Learning. Forschungskolloquium 2020 der Medizinischen Fakultät, Tübingen, Germany (2020)
244.
Vortrag
Dayan, P.: Savouring and its Modulation by Prediction Errors. Central European University, Budapest, Hungary (2019)
245.
Vortrag
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)
246.
Vortrag
Dinkel, H.: Introduction of Linear motifs. EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)
247.
Vortrag
Dinkel, H.; Gibson, T.; Kumar, M.: Linear motif biology and prediction, cooperativity in cellular signaling (I). EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)
248.
Vortrag
Kumar, M.; Dinkel, H.; Gibson, T.: Linear motif biology and prediction, cooperativity in cellular signaling (II). EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)
249.
Vortrag
Sharan, M.; Dinkel, H.: Using informal meetings for building local (bioinformatics) communities. EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)
250.
Vortrag
Dayan, P.: Replay and Preplay in Human Planning. Université de Genève: C. Lüscher Synapses, Circuits and Behaviour in Addiction and Related Disorders, Genève, Switzerland (2019)
251.
Vortrag
Dayan, P.: Neural Reinforcement Learning. Humboldt Lecture Series at Tübingen University , Tübingen, Germany (2019)
252.
Vortrag
Dayan, P.; Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dolan, R.: Savouring and its Modulation by Prediction Errors. Colloquium Cognitive Systems: Universität Ulm , Ulm, Germany (2019)
253.
Vortrag
Dayan, P.: Savouring and its Modulation by Prediction Errors. 17th Annual Meeting of the Society for NeuroEconomics (SNE 2019), Dublin, Ireland (2019)
254.
Vortrag
Dayan, P.: Theoretical Neuroscience: Decision Making and its Discontents. 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019) , Chicago, IL, USA (2019)
255.
Vortrag
Sharan, M.; Dinkel, H.: Building Blocks of Python Programming. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
256.
Vortrag
Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python I. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
257.
Vortrag
Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python II. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
258.
Vortrag
Sharan, M.; Dinkel, H.; Alves, R.: Using commandline git for version control. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
259.
Vortrag
Dayan, P.: The cortical dynamics of integrative decision making. 6th ESI Systems Neuroscience Conference 2019: The recurrent cortex: feedback, dynamics, and dimensionality , Frankfurt a.M., Germany (2019)
260.
Vortrag
Dayan, P.: Unsupervised Yearning. David Marr, 50 years on (Marr 2019) at Artificial & Biological Cognition 2019, Cambridge, UK (2019)
261.
Vortrag
Dayan, P.: Dysfunctional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)
262.
Vortrag
Dayan, P.: Functional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)
263.
Vortrag
Dayan, P.: Reinforcement learning. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)
264.
Vortrag
Dayan, P.: Theoretical approaches to function and dysfunction. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)
265.
Vortrag
Dayan, P.: Slothful serial: perilous parallel processing. Workshop Heuristics, Hacks and Habits: 41st Annual Meeting of the Cognitive Science Society (COGSCI 2019), Montréal, Canada (2019)
266.
Vortrag
Dayan, P.: Decision-making and some of its Discontents. 9th IMPRS NeuroCom Summer School in Cognitive Neuroscience , Leipzig, Germany (2019)
267.
Vortrag
Dayan, P.: Savouring and its Modulation by Prediction Errors. NEUREX Workshop: Neuroeconomics: Studying Decision Making in an Economic Context, Strasbourg, France (2019)
268.
Vortrag
Dayan, P.: Pavlovian-Instrumental Interactions in Active Avoidance: The Bark of Neutral Trials. Modulation of Neural Circuits and Behavior Gordon Research Conference: Neuromodulatory Mechanisms Underlying Flexible Brain Functions and Behavior , Les Diablerets, Switzerland (2019)
269.
Vortrag
Dayan, P.: The Cortical Dynamics of Integrative Decision Making. University of Freiburg: Bernstein Seminar, Freiburg i.Br., Germany (2019)
270.
Vortrag
Dayan, P.: Learning in Natural Neural Systems. Eberhard-Karls-Universität Tübingen: Studium Generale: Maschinelles Lernen, Tübingen, Germany (2019)
271.
Vortrag
Dayan, P.: The long and the short of serotonergic stimulation: The learning rate for rewards. NeuroRetreat 2019: Max Planck Institute of Psychiatry, München, Germany (2019)
272.
Vortrag
Dayan, P.: The Good, The Bad, and Something Inbetween: Dopamine in Active Avoidance. Centro Champalimaud, Lisboa, Portugal (2019)
273.
Vortrag
Dayan, P.: The long and the short of 5-HT stimulation: optogenetic activation of dorsal raphe serotonergic neurons changes the learning rate for rewards. COSYNE 2019 Workshop: Advances and convergences in 5-HT research , Cascais, Portugal (2019)
274.
Vortrag
Dayan, P.: The Cortical Dynamics of Integrative Decision Making. Chen Institute Symposium 2019, Pasadena, CA, USA (2019)
275.
Vortrag
Dayan, P.: Neural Reinforcement Learning 3: The Self and the Other. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
276.
Vortrag
Dayan, P.: Neural Reinforcement Learning 2: Choice. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
277.
Vortrag
Dayan, P.: Neural Reinforcement Learning 1: Prediction. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
278.
Vortrag
Dayan, P.: The long and the short of serotonergic stimulation: Selective effects on the learning rate of rewards. InstitutsSeminar Neurobiologie: Institute of Neurobiology, Eberhard-Karls Universität Tübingen, Tübingen, Germany (2018)

Poster (106)

279.
Poster
Kastner, D.; Holobetz, C.; Yokota, N.; Williams, G.; Lee, C.; Ton, J.; Romano, J.; Dayan, P.: Choice-wide behavioral association study: reliable and interpretable differences across learning. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)
280.
Poster
Shani, D.; Dayan, P.: Integrating allocentric and egocentric representations for flexible navigation. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)
281.
Poster
Tessereau, C.; Mellor, J.; Dayan, P.; Xuan, F.; Dombeck, D.: The hippocampus as an unpredicted map: Hippocampal traces of uncertainties induced by changes in reward distributions. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)
282.
Poster
Hahn, A.; Brielmann, A.; Tabandeh, N.; Spitschan, M.: Eye movements, pupil size and scene perception in real-world indoor and outdoor scenes. Christmas 2023 AVA Meeting, London, UK (2023)
283.
Poster
Bucher, S.; Dayan, P.: Algorithmic Choice Architecture for Boundedly Rational Consumers. 10th Annual Conference on Digital Experimentation (CODE@MIT 2023), Cambridge, MA, USA (2023)
284.
Poster
Whiteway, M.; Biderman, D.; Hurwitz, C.; Greenspan, N.; Lee, R.; Vishnubhotla, A.; Schartner, M.; Huntenburg, J.; Khanal, A.; Meijer, G. et al.; Noel, J.; Pan-Vazquez, A.; Socha, K.; Urai, A.; Laboratory, I.; Warren, R.; Noone, D.; Pedraja, F.; Cunningham, J.; Sawtell, N.; Paninski, L.: Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open source tools. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA (2023)
285.
Poster
Bougrova, K.; Bonacchi, N.; Catarino, J.; DeWitt, E.; Meijer, G.; Tessereau, C.; mainen, Z.: Comparing Neuromodulator Activity in a Visual Decision-Making Task. Champalimaud Research Neuro Symposium 2023, Lisboa, Portugal (2023)
286.
Poster
Burgess, H.; Barnby, J.; Dayan, P.; Richards, L.: Realizing Dynamic Cognitive Tasks with Cloud-based Computation. 1st Annual Conference of the US Research Software Engineer Association (US-RSE 2023), Chicago, IL, USA (2023)
287.
Poster
Zamfir, E.; Dayan, P.: Interactions between causal attributions and beliefs: evidence from a novel computer game task. Champalimaud Research Neuro Symposium 2023, Lisboa, Portugal (2023)
288.
Poster
Basgol, H.; Raab, F.; Franz, V.; Dayan, P.: How much evidence is required to detect spatiotemporal visual regularities? 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)
289.
Poster
Buendia, V.; Levina, A.: Inferring dynamical states in complex recurrent networks. Bernstein Conference 2023, Berlin, Germany (2023)
290.
Poster
Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)
291.
Poster
Horn, T.; Dayan, P.; Lloyd, K.: Modelling Pavlovian misbehaviour in a time interval discrimination task. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)
292.
Poster
Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. Bernstein Conference 2023, Berlin, Germany (2023)
293.
Poster
Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. Bernstein Conference 2023, Berlin, Germany (2023)
294.
Poster
Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)
295.
Poster
Solopchuk, O.; Dayan, P.: Multifaceted confidence in exploratory choice. Bernstein Conference 2023, Berlin, Germany (2023)
296.
Poster
Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)
297.
Poster
Ciesielski, K.; Webb, A.; Spotorno, S.: Mainly the actions: Functional knowledge has a primary role in understanding real-world scenes portrayed by either fine or coarse visual information. Twenty-Third Annual Meeting of the Vision Sciences Society (VSS 2023), St. Pete Beach, FL, USA (2023)
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