Fourth International Symposium on the Mathematics of Neuroscience. 

28th September - 1st October 2023, Old Town, Rhodes, Greece. 

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General attendance now open; poster sessions still accepting submissions.

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We have finalized the schedule for this year’s conference on the mathematics of neuroscience, and have opened registration for general attendance:


www.neuromonster.org


Thank you to everyone that made a submission!


We will continue to accept submissions for the poster sessions until the 20th September (and, registration for poster sessions includes general conference admission).


In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. 


Keynote Speakers

Professor Aapo Hyvärinen (University of Helsinki)

Painful intelligence: What AI can tell us about human suffering


Professor Janneke Jehee (Donders Institute)

Probabilistic representations in the human visual cortex


Professor Peter Latham (UCL)

What’s the question and how do we answer it?


Session Chairs

Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT)

Neurotheory: Dr James Whittington (Oxford / Stanford)

Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford)

Representational alignment: Dr Ilia Sucholutsky (Princeton)


Invited Speakers

Professor Andrew Adamatzky (UWE)

Professor Dan Nicolau Sr (McGill)

Professor Bill Thompson (Berkeley)

Professor Bradley Love (UCL)

Professor Iris Groen (Amsterdam)

Dr Thomas Parr (UCL)

Dr Ilias Rentzeperis (SNRC)


The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org). Submission for poster sessions is by 250-word abstract before the 20th September 2023, emailed to the session chairs at battleday@thinkingaboutthinking.org, indicating the desired session.



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Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD

Postdoctoral Research Fellow
Center for Brain Science,
Harvard University

Center for Brains, Minds, and Machines,
MIT