Schedule
Tues 28th May 2024 (UTC+1)
08:00 - 09:00 Check in and registration
09:30 Opening remarks
Dr Ruairidh Battleday and Professor Dan Nicolau Jr
Session 1: Artificial Intelligence
09:50 - 10:00 Session Introduction (Dr Ishita Dasgupta and Dr Ilia Sucholutsky)
10:00 - 10:40 Keynote: Professor Kevin Ellis (Cornell): Doing experiments and acquiring concepts using language and code
10:40 - 11:00 Dr Andre Barreto (Google DeepMind): Generalised policy updates and neuroscience
11:00 - 11:20 Coffee Break
11:20 - 11:40 Dr Ilia Sucholutsky (Princeton): Learning from almost no data
11:40 - 12:00 Dr Wilka Carvalho (Harvard): Predictive representations: building blocks of intelligence
12:20 - 14:00 Lunch
14:00 - 14:20 Professor Rafal Bogacz (Oxford): Modelling diverse learning tasks with predictive coding
14:20 - 15:40 Spotlights
15:40 - 16:00 Coffee Break
16:00 - 16:40 Keynote: Dr Feryal Behbahani (DeepMind)
16:40 - 17:20 Panel: Fundamental Challenges in AI Research
17:20 - 19:00 Welcome reception (Villa Wolkonsky)
Weds 29th May 2024 (UTC+1)
Session 2: Biocomputation
09:50 - 10:00 Session Introduction (Professor Dan Nicolau Jr and Yasmine Ayman)
10:00 - 10:20 Professor Dan Nicolau Jr (KCL): A Rose by Any Other Name: Towards a Mathematical Theory of the Neuroimmune System
10:20 - 10:40 Professor Christine Grienberger (Brandeis): Dendritic computations underlying experience-dependent hippocampal representation
11:00 - 11:20 Coffee Break
11:20 - 12:20 Spotlights
12:20 - 14:00 Lunch
14:00 - 14:40 Keynote: Professor Wolfgang Maass (Technische Universität Graz): Local prediction-learning in high-dimensional spaces enables neural networks to plan
14:40 - 15:00 Dr James Whittington (Oxford / Stanford / Zyphra): Unifying the mechanisms of the hippocampal and prefrontal cognitive maps
15:00 - 16:00 Poster Session 1
16:00 - 16:20 Professor Najoung Kim (BU, Google; REMOTE): Comparing human and machine inductive biases for compositional linguistic generalization using semantic parsing: Results and methodological challenges
16:20 - 17:00 Virtual Poster Session
21:00 - 22:00 Neuromonster Arts Salon (Taylor Beck; Hotel San Giovanni, Downstairs Meeting Room)
Thurs 30th May 2024 (UTC+1)
Session 3: Cognitive science
09:50 - 10:00 Session Introduction (Dr Antonella Maselli and Dr Ruairidh Battleday)
10:00 - 10:40 Keynote: Professor Anne Collins: Pitfalls and advances in computational cognitive modeling
10:40 - 11:00 Professor Bill Thompson (University of California, Berkeley): Interactive Discovery of Program-like Social Norms
11:00 - 11:20 Coffee Break
11:20 - 11:40 Dr Fred Callaway (NYU / Harvard): Cultural evolution of compositional problem solving
11:40 - 12:00 Dr Maria Eckstein (DeepMind): Understanding Human Learning and Abstraction Using Cognitive Models and Artificial Neural Networks
12:00 - 12:20 Professor Samuel McDougle (Yale): Abstractions in Motor Memory and Planning
12:20 - 14:00 Lunch
14:00 - 14:40 Keynote: Dr Giovanni Pezzulo (NRC of Italy): Embodied decision-making and planning
14:40 - 15:00 Professor Dagmar Sternad (Northeastern): Predictability and stability in the manipulation of complex objects
15:00 - 15:40 Spotlights
15:40 - 16:00 Coffee Break
16:00 - 16:20 Spotlights
16:20 - 17:00 Poster Session 2
19:30 Coaches leave Hotel San Giovanni for Conference Dinner
Fri 31st May 2024 (UTC+1)
Session 4: Neural theory
09:50 - 10:00 Session Introduction (Dr James Whittington and Dr Francesca Mastrogiuseppe)
10:00 - 10:40 Keynote: Professor Peter Dayan: Controlling the Controller: Instrumental Manipulations of Pavlovian Influences via Dopamine
10:40 - 11:00 Dr Sophia Sanborn (Science): Symmetry and Universality
11:00 - 11:20 Coffee Break
11:20 - 11:40 Professor Athena Akrami (UCL): Circuits and computations for learning and exploiting sensory statistics
11:40 - 12:00 Professor Nicolas Brunel (Duke): Roles of inhibition in shaping the response of cortical networks
12:20 - 14:00 Lunch
14:00 - 14:20 Dr Lea Duncker (Stanford): Evaluating dynamical systems hypotheses using direct neural perturbations
14:20 - 14:40 Dr Kris Jensen (UCL): An attractor model of planning in frontal cortex
14:40 - 15:40 Spotlights
15:40 - 16:00 Coffee Break
16:00 - 16:40 Keynote: Professor Mackenzie Mathis (EPFL): Learnable Neural Dynamics
16:40 - 17:20 Panel: The Future of Computational Neuroscience
17:20 - 19:00 Closing reception (Villa Wolkonsky)