Talk (57)

100.
Talk
Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)
101.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)
102.
Talk
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)
103.
Talk
Dinkel, H.: SoftwareCarpentry: Extrakurrikuläre Weiterbildung für den Forscher von heute. FDM-Kompetenzen: Forschungsdaten an den Max-Planck-Instituten (2021)
104.
Talk
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)
105.
Talk
Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)
106.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)
107.
Talk
Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (2021)
108.
Talk
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)
109.
Talk
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)
110.
Talk
Dinkel, H.: Version Control with Git & GitHub. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry - Virtual (2020)
111.
Talk
Dayan, P.: Replay in Offline Planning. Pattern Recognition in Neuroimaging Summer School 2020 (PRNI), Wien, Austria (2020)
112.
Talk
Dayan, P.: Replay. 43th Annual Meeting of the Japan Neuroscience Society, Kobe, Japan (2020)
113.
Talk
Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Machine Learning in Science: Virtual Cluster Conference, Tübingen, Germany (2020)
114.
Talk
Dayan, P.: Model based and model free interactions: inference, influence and confidence. 2020 Intelligent Systems Summer Colloquium, Tübingen, Germany (2020)
115.
Talk
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)
116.
Talk
Dayan, P.: Machine learning for Computational Neuroscience. Machine Learning Summer School (MLSS 2020), Tübingen, Germany (2020)
117.
Talk
Dayan, P.: All Models Are Wronged. Gordon Research Conference: Functions of the Basal Ganglia from Thought to Action , Ventura, CA, USA (2020)
118.
Talk
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)
119.
Talk
Dinkel, H.: Introduction of Linear motifs. EMBO Practical Course: Computational analysis of protein-protein interactions in cell function and disease, Bangalore, India (2019)
120.
Talk
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)
121.
Talk
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)
122.
Talk
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)
123.
Talk
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)
124.
Talk
Dayan, P.: Neural Reinforcement Learning. Humboldt Lecture Series at Tübingen University , Tübingen, Germany (2019)
125.
Talk
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)
126.
Talk
Dayan, P.: Savouring and its Modulation by Prediction Errors. 17th Annual Meeting of the Society for NeuroEconomics (SNE 2019), Dublin, Ireland (2019)
127.
Talk
Dayan, P.: Theoretical Neuroscience: Decision Making and its Discontents. 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019) , Chicago, IL, USA (2019)
128.
Talk
Sharan, M.; Dinkel, H.: Building Blocks of Python Programming. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
129.
Talk
Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python I. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
130.
Talk
Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python II. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
131.
Talk
Sharan, M.; Dinkel, H.; Alves, R.: Using commandline git for version control. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)
132.
Talk
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)
133.
Talk
Dayan, P.: Unsupervised Yearning. David Marr, 50 years on (Marr 2019) at Artificial & Biological Cognition 2019, Cambridge, UK (2019)
134.
Talk
Dayan, P.: Dysfunctional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)
135.
Talk
Dayan, P.: Functional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)
136.
Talk
Dayan, P.: Reinforcement learning. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)
137.
Talk
Dayan, P.: Theoretical approaches to function and dysfunction. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)
138.
Talk
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)
139.
Talk
Dayan, P.: Decision-making and some of its Discontents. 9th IMPRS NeuroCom Summer School in Cognitive Neuroscience , Leipzig, Germany (2019)
140.
Talk
Dayan, P.: Savouring and its Modulation by Prediction Errors. NEUREX Workshop: Neuroeconomics: Studying Decision Making in an Economic Context, Strasbourg, France (2019)
141.
Talk
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)
142.
Talk
Dayan, P.: The Cortical Dynamics of Integrative Decision Making. University of Freiburg: Bernstein Seminar, Freiburg i.Br., Germany (2019)
143.
Talk
Dayan, P.: Learning in Natural Neural Systems. Eberhard-Karls-Universität Tübingen: Studium Generale: Maschinelles Lernen, Tübingen, Germany (2019)
144.
Talk
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)
145.
Talk
Dayan, P.: The Good, The Bad, and Something Inbetween: Dopamine in Active Avoidance. Centro Champalimaud, Lisboa, Portugal (2019)
146.
Talk
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)
147.
Talk
Dayan, P.: The Cortical Dynamics of Integrative Decision Making. Chen Institute Symposium 2019, Pasadena, CA, USA (2019)
148.
Talk
Dayan, P.: Neural Reinforcement Learning 3: The Self and the Other. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
149.
Talk
Dayan, P.: Neural Reinforcement Learning 2: Choice. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
150.
Talk
Dayan, P.: Neural Reinforcement Learning 1: Prediction. Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence, Trieste, Italy (2018)
151.
Talk
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 (42)

152.
Poster
Chebolu, S.; Dayan, P.; Lloyd, K.: Fast ACh signals and the optimal control of attention in a detection task. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
153.
Poster
Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
154.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
155.
Poster
Levina, A.; Fardet, T.: Weighted clustering motifs and small-worldness in connectomes. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
156.
Poster
Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
157.
Poster
Basgol, H.; Dayan, P.; Franz, V.: Investigating pupil-linked arousal to complex and statistically uncertain auditory patterns. 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany (2022)
158.
Poster
Toro-Serey, C.; Tang, W.; Trambaiolli, L.; Dayan, P.; Haber, S.: ACC-striatal Projections are Uniquely Positioned to Interact With an Unusually Functionally Diverse Set of Cortical Areas. 60th Annual Meeting of the American College of Neuropsychopharmacology (ACNP 2021), San Juan, Puerto Rico (2021)
159.
Poster
Bonacchi, N.; Bruijns, S.; Chapuis, G.; Churchland, A.; Faulkner, M.; Lee, H.; Meijer, G.; Paninski, L.; Roth, N.; Steinmetz, N. et al.; Taheri, M.; West, S.; Winter, O.: Reproducibility of electrophysiological measurements during decision-making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
160.
Poster
Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
161.
Poster
Costa, K.; Scholz, R.; Lloyd, K.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The orbitofrontal cortex is necessary for forming outcome-specific representations during learning Add to Itinerary. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
162.
Poster
Findling, C.; Dayan, P.; Pouget, A.: Subject-to-subject and session-to-session variability in behavioural strategy for the International Brain Lab task. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
163.
Poster
Gercek, B.; Meijer, G.; Benson, B.; Schaeffer, R.; Findling, C.; Banga, K.; Langdon, C.; Miska, N.; Schartner, M.; Socha, K. et al.; Whiteway, M.; Dayan, P.; Harris, K.; Pouget, A.: Neural correlates of an approximate prior in perceptual decision making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
164.
Poster
Langdon, C.; Schartner, M.; Dewitt, E.; Harris, K.; Fiete, I.; Dayan, P.: Task-relevant population dynamics in the international brain lab dataset revealed by manifold analysis. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
165.
Poster
Schartner, M.; Langdon, C.; Miska, J.; Whiteway, M.; Huntenburg, J.; Harris, K.; Fiete, I.; Pouget, A.; Dayan, P.: Motor correlates of cognitive variables in the international brain laboratory task. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
166.
Poster
Bucher, S.; Glimcher, P.: Late integration of prior belief in drift-diffusion models. 19th Annual Meeting of the Society for NeuroEconomics (vSNE 2021) (2021)
167.
Poster
Buendia, V.; Zeraati, R.; Engel, T.; Levina, A.: Variable critical exponents induced by topology-dependent coalescence in a branching network. Bernstein Conference 2021 (2021)
168.
Poster
Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Dopaminergic modulation of metacontrol. Bernstein Conference 2021 (2021)
169.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network. Bernstein Conference 2021 (2021)
170.
Poster
Patzlaff, N.; Vinogradov, O.; Giannakakis, E.; Levina, A.: Examining network dynamics under inhibitory rewiring. Bernstein Conference 2021 (2021)
171.
Poster
Pombo, M.; Brielmann, A.; Pelli, D.: Discounting the effect of memory on repeated measures of beauty judgment. Twenty-First Annual Meeting of the Vision Sciences Society (V-VSS 2021) (2021)
172.
Poster
Vinogradov, O.; Buendia, V.; Levina, A.: Minimal model of cultured neuronal networks population dynamics. Bernstein Conference 2021 (2021)
173.
Poster
Yang, I.; Zeraati, R.; Zhang, Y.; Arrenberg, A.; Levina, A.: Evaluating the dynamical state of the visual brain during optic flow noise processing in zebrafish. Bernstein Conference 2021 (2021)
174.
Poster
Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Attentional modulation of intrinsic timescales in visual cortex and its underlying network mechanisms. Bernstein Conference 2021 (2021)
175.
Poster
Pombo, M.; Brielmann, A.; Pelli, D.: How sequential dependencies affect the intraindividual variability of beauty judgment. 43rd European Conference on Visual Perception (ECVP 2021) (2021)
176.
Poster
Bruijns, S.; Dayan, P.: Exploring learning trajectories with dynamic infinite hidden Markov models. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
177.
Poster
Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
178.
Poster
Schulz, L.; Fleming, S.; Dayan, P.: Metacognitive Computations for Information Search: Confidence in Control. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
179.
Poster
Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
180.
Poster
Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
181.
Poster
Tano, P.; Dayan, P.; Pouget, A.: A Local Temporal Difference Code for Distributional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
182.
Poster
Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. DPG-Frühjahrstagungen 2021 BP-CPP-DY-SOE (2021)
183.
Poster
Lekscha Sedlinská, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.; Dayan, P.: Temporal discounting and male depression. Kongress der Deutschen Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde e. V. (DGPPN 2020), Berlin, Germany (2020)
184.
Poster
Bröker, F.; Love, B.; Dayan, P.: The varied effect of unsupervised information on human category learning. Bernstein Conference 2020 (2020)
185.
Poster
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)
186.
Poster
Lekscha Sedlinska, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.; Dayan, P.: Temporal discounting in major depression. Bernstein Conference 2020 (2020)
187.
Poster
Bröker, F.; Love, B.; Dayan, P.: Semi-Supervised Categorisation: Input Representations Determine Necessity of Feedback. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)
188.
Poster
Bruijns, S.; Dayan, P.: Anticipating Every Turn: Learning About Learning in Mice. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)
189.
Poster
Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada (2019)
190.
Poster
Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O’Doherty, J.; Dayan, P.; Dolan, R.: Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada (2019)
191.
Poster
Stojic, H.; Orquin, J.; Dayan, P.; Dolan, R.; Speekenbrink, M.: Rewards and uncertainty jointly drive the attention dynamics in reinforcement learning. Ninth International Symposium on Biology of Decision Making (SBDM 2019) , Oxford, UK (2019)
192.
Poster
Zamfir, E.; Dayan, P.: The dynamical interaction between attribution and belief: Evidence from a novel task. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)
193.
Poster
Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Hiao, L.-I.; Chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)

Working Paper (5)

194.
Working Paper
Kóbor, A.; Kardos, Z.; Takács, Á.; Éltetö, N.; Janacsek, K.; Tóth-Fáber, E.; Csépe, V.; Nemeth, D.: Initial experience has lasting effect on repeated risky decisions. (submitted)
195.
Working Paper
Mancinelli, F.; Roiser, J.; Dayan, P.: Subjective Beliefs In, Out, and About Control: A Quantitative Analysis. (submitted)
196.
Working Paper
Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Liu, D.; Frank, L.; Dayan, P.: Dynamic preferences account for inter-animal variability during the continual learning of a cognitive task. (submitted)
197.
Working Paper
Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dayan, P.; Dolan, R.: Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex. (submitted)
198.
Working Paper
Zhao, S.; Chait, M.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.-I.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. (submitted)
Go to Editor View