Suchergebnisse

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)

Dayan, P.: Neural Reinforcement Learning. Humboldt Lecture Series at Tübingen University , Tübingen, Germany (2019)

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)

Foster, C.: Decoding body subcategories from human brain activity. Face Perception Research Lab, School of Behavioral and Brain Sciences, The University of Texas, Austin, TX, USA (2019)

Hagberg, G.: Assessing brain microstructure in vivo through quantitative MRI at ultrahigh magnetic fields: hurdles and opportunities. Università degli Studi di Trieste: DSV and NeSC Doctoral Seminars, Trieste, Iraly (2019)

Dayan, P.: Savouring and its Modulation by Prediction Errors. 17th Annual Meeting of the Society for NeuroEconomics (SNE 2019), Dublin, Ireland (2019)

Dayan, P.: Theoretical Neuroscience: Decision Making and its Discontents. 49th Annual Meeting of the Society for Neuroscience (Neuroscience 2019) , Chicago, IL, USA (2019)

Lohmann, G.: Statistical inference for fMRI at 3T and beyond. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2019)

Sharan, M.; Dinkel, H.: Building Blocks of Python Programming. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)

Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python I. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)

Sharan, M.; Dinkel, H.; Alves, R.: Building programs with Python II. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)

Sharan, M.; Dinkel, H.; Alves, R.: Using commandline git for version control. EMBL Course: Computing Skills For Reproducible Research: Software Carpentry, Heidelberg, Germany (2019)

Besserve, M.: Can we help the brain rewire itself? Hints from the functions and mechanisms acting during sleep. Data, Learning and Inference (DALI 2019), San Sebastian, Spain (2019)

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)

Dayan, P.: Unsupervised Yearning. David Marr, 50 years on (Marr 2019) at Artificial & Biological Cognition 2019, Cambridge, UK (2019)

Dayan, P.: Dysfunctional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)

Dayan, P.: Functional decision-making. Tübingen International Summer School (TISS 2019), Kloster Heiligkreuztal (2019)

Kumar, V.: Physiological noise (correction). ESMRMB Lectures on MR: Resting State fMRI, Tübingen, Germany (2019)

Kumar, V.; Li, M.: Predefined parcellation schemes or personalized parcellation schemes? ESMRMB Lectures on MR: Resting State fMRI, Tübingen, Germany (2019)

Li, M.: Local vs. global resting state features. ESMRMB Lectures on MR: Resting State fMRI, Tübingen, Germany (2019)