KITP Program: Statistical Learning in the Brain
(Jun 12 - Jul 21, 2023)
Coordinators: Livia de Hoz, József Fiser, and Máté Lengyel

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Speakers: Please contact us about file upload for your slides.

Time Speaker Title
7/21, 11:00am Daniel Wolpert
Columbia University
Keynote: Statistical learning in sensorimotor control[Video]
7/21, 9:00am All Participants Roasting the program organizers
7/21 Keynote lecture
7/20, 11:00am Rob Froemke
New York University
Love, death, and statistical learning[Video][CC][Transcript]
7/20, 9:45am Li Zhang
University of Southern California
"Dormant" Cells and Sparse Coding in Awake Auditory Cortex[Video][CC][Transcript]
7/20, 9:00am Christine Constantinople
New York University
Neural mechanisms of inference[Embargoed]
7/20 Statistical learning for interference and generalization
7/19, 12:00pm Huizhong Tao
University of Southern California
A bottom-up sensory pathway for reward associative learning[Video][CC][Transcript]
7/19, 11:30am Yonatan Aljadeff
University of California San Diego
How flies got their sensilla? Statistical learning on evolutionary timescales[Video][CC][Transcript]
7/19, 11:00am Marta Zlatic
University of Cambridge, MRC Laboratory of Molecular Biology
Combining brain-wide connectivity maps with brain-wide activity and behaviour maps to understand learning in Drosophila[Video][CC][Transcript]
7/19, 9:00am Aurore Avargues-Weber
Centre de Recherche sur la Cognition Animale
Mastering learning about relations: a honeybee perspective[Video][CC][Transcript]
7/19 Studying statistical learning in animals
7/18, 11:45am Marta Zlatic
University of Cambridge, MRC Laboratory of Molecular Biology
How can we use the architecture of learning circuits to provide clues about learning algorithms and constrain learning models?[Video][CC][Transcript]
7/18, 11:00am Mitya Chklovskii
Flatiron Institute
Neurons as Direct Data-Driven Controllers (DD-DC) II[Video][CC][Transcript]
7/18, 9:00am Peter Latham
University College London
Mathematical framework of learning as inference and control[Video][CC][Transcript]
7/18 What can we learn about the brain?
7/17, 11:00am Israel Nelken
Hebrew University
Prediction errors and predictions in the auditory system[Video][CC][Transcript]
7/17, 10:00am Andrew Saxe
University College London
Prediction as a learning objective[Video][CC][Transcript]
7/17, 9:00am Floris de Lange
Radboud University, Donders Institute
Prediction in statistical learning[Video][CC][Transcript]
7/17 The role of prediction in statistical learning
7/14, 12:00pm Peter Dayan
Accounting for Every Choice[Video][CC][Transcript]
7/14, 11:30am Floris de Lange
RU Nijmegen
Successor representation in human primary visual cortex and hippocampus[Video][CC][Transcript]
7/14, 10:00am Jozsef Fiser
Lamp-posts and hidden representations[Video][CC][Transcript]
7/14, 9:00am Miguel Maravall
U. Sussex
Parsing statistical learning[Video][CC][Transcript]
7/14 The role of prediction in statistical learning
7/10-13 Conference: Timescales of Plasticity and Underlying Mechanisms
7/07, 11:00am Maneesh Sahani
(University College London)
Peter Latham
(University College London)
Mate Lengyel
(University of Cambridge, Central European University)
Discussion: internal beliefs, uncertainty and learning[Video]
7/07, 9:00am Maneesh Sahani
University College London
Internal beliefs, uncertainty and learning[Video][CC][Transcript]
7/07 On the ineluctable manifestation of uncertainty
7/06, 11:30am Bernhard Englitz
Donders Inst.
Hearing the needle in the haystack[Video][CC][Transcript]
7/06, 11:00am Livia de Hoz
Sensitivity of subcortical activity to statistics acquired slow and fast[Embargoed]
7/06, 9:30am Eli Nelken
Hebrew Univ.
Statistical learning in single neurons: data and models[Video][CC][Transcript]
7/06, 9:00am Jennifer Linden
University College London
Introduction to the session and Representation of Primitives for Statistical Learning in the Auditory System[Video][CC][Transcript]
7/06 Statistical Learning in the Auditory System
7/05, 12:00am All participants Dimensions of learning: Where does Statistical Learning map to?[Video]
7/05, 11:00am Mitya Chklovskii
Flatiron Institute
Volatility in neuronal circuits: bug or feature?[Video][CC][Transcript]
7/05, 10:00am Michael Goard
Stability and volatility in the mouse visual system[Slides][Video][CC][Transcript]
7/05, 9:00am Simon Rumpel
Univ. Mainz
Experimental results on synaptic and representational drift[Slides][Video][CC][Transcript]
7/05 The impact of intrinsic volatility in neuronal circuits on learning and memory
7/03, 11:00am David Gross
7/03, 10:00am All Participants Participant's one slide-introductions: part 6[Video][CC][Transcript]
7/03, 9:00am Livia de Hoz
(Charite Berlin)
Jozsef Fiser
(Central European University)
General introduction, information session, practicalities[Video]
6/30, 11:00am Merav Ahissar
(Hebrew University of Jerusalem)
Sebastian Goldt
(Scuola Internazionale Superiore di Studi Avanzati)
Athena Akrami
(University College London)
Discussion: making predictions concrete[Video][CC][Transcript]
6/30, 9:00am Andrew Saxe
University College London
Solvable models of deep learning dynamics, predictive coding and statistical learning[Video][CC][Transcript]
6/30 The dynamics of neural representations in predictive learning
6/28 How task statistics and biology shape neural response
6/26 Perception and Statistical Learning in Development
6/23 From pairwise associations to higher-order correlations: what and how do neural networks learn from them?
6/19 Implicit learning of Task Structure
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