Schedule
Thurs 28th September 2023 (UTC+3)
10.00 Opening remarks
Dr Ruairidh M. Battleday and Professor Dan V. Nicolau Jr
10.30 Keynote: Professor Aapo Hyvärinen
Painful intelligence: What AI can tell us about human suffering
Session: Probabilistic Models
11.30: Dr Ruairidh Battleday (Chair; Oxford University): Probabilistic Models of Cognition and Machine Learning: past and future directions
12.00: Professor Bill Thompson (University of California, Berkeley): Distributed Computation by Social Learning
12.30: Lunch
13.30 Professor Daniel Graham (Hobart and William Smith Colleges): Collision Models of Brain Network Communication
14.00: Professor Volker Tresp (Munich Center for Machine Learning) : The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding
14.30: Rahul Jain (Pomona College): You Got Hexxed: Persistence during Complex Skill Learning
Session: Biocomputation
15.00 Professor Dan V. Nicolau Jr (Chair; King’s College London): Introduction
15.10: Dr Steeve Laquitaine (The Swiss Federal Institute of Technology): Using a large-scale biophysically detailed neocortical circuit model to map spike sorting biases
15.35: Jia Li (KU Leuven): Self-organization of log-normally distributed connection strength
16.00: Dr. Panagiotis Mougkogiannis (and Professor Andrew Adamatzky; University of the West of England): Towards proteinoid neuromorphic computers
16.40: Coffee Break
16.50: Professor Marcelo Bertalmío (Spanish National Research Council): Modeling challenging visual phenomena by taking into account dynamic dendritic nonlinearities
17.15 Dr Ilias Rentzeperis (Spanish National Research Council): Modelling a continuum of simple to complex cell behavior in V1 with the INRF paradigm
17.40: Hanna Derets (University of Waterloo): Distance Metrics and Minimization of Epsilon Automata, with Applications to the Analysis of EEG Microstate Sequences
18.20: Professor Dan Nicolau Sr (McGill): Setting the baseline of what intelligence could be: the case of space searching by populations of filamentous fungal hyphae
19:00 Welcome reception
Socratous Garden (https://maps.app.goo.gl/uUcS9rhFYLkMLrYG9)
Fri 29th September 2023 (UTC+3)
09:30 Take bus to Lindos
Lindos (https://goo.gl/maps/M1P6sZbR24vznK4N9)
Either: leave from bus stop at 9.30am. You can buy bus tickets with card or cash at this office.
Or, self-organize cars or taxis.
12:00-12:30 Spotlight session 1 (in person, in Lindos, MedEast)
Dr Jonathan V. Gill (NYU): The geometry and role of sequential activity in olfactory processing
Sabahaddin Taha Solakoglu (Hacettepe University): Analysis and comparison of synaptic inputs from three brain regions onto mPFC dendrites in stress resilient and stress vulnerable mice
Hang Li (LMU Munich): Do Artificial Neural Networks Understand Each Other?
Francesco Guido Rinaldi (SISSA): Intuitive Interpretation in Uncertain Environments: A Bayesian Perspective
12:30-13:00 Poster session 1 (in person, in Lindos, MedEast)
Dr Jonathan V. Gill (NYU): The geometry and role of sequential activity in olfactory processing
Sabahaddin Taha Solakoglu (Hacettepe University): Analysis and comparison of synaptic inputs from three brain regions onto mPFC dendrites in stress resilient and stress vulnerable mice
Hang Li (LMU Munich): Do Artificial Neural Networks Understand Each Other?
Francesco Guido Rinaldi (SISSA): Intuitive Interpretation in Uncertain Environments: A Bayesian Perspective
Declan Campbell (Princeton University): Unraveling geometric reasoning: A neural network model of regularity biases
13:00-14:00 Lunch (MedEast)
14:00-20:00 Conference expedition
Lindos (https://goo.gl/maps/M1P6sZbR24vznK4N9)
Last bus home to Old Town is at 21.30… but we would suggest getting an earlier one than that (they leave every half an hour).
Sat 30th September 2023 (UTC+3)
10:00 Keynote: Professor Peter Latham
What’s the question and how do we answer it?
Session: Neurotheory
11:10 - 11:40: Carol Upchurch (Louisiana State University): Persistent Silencing of PV+ Inhibitory Interneurons Results from Proximity to a Subcritical Hopf Bifurcation
11:40 - 12:10: Tyler Giallanza (Princeton University): Adapting to a changing environment with controlled retrieval of episodic memories
12:10 - 12:20: Break
12:20 - 13:00: Dr James Whittington (Chair; University of Oxford; Stanford University): A unifying framework for frontal and temporal representation of memory
13:00: Lunch
14:00 - 14:50: Dr Thomas Parr (University of Oxford): From models to maladies
14:50 - 15:00: Break
15:00 - 15:30: Dr Tommaso Salvatori (Verses.ai): On the past, present, and future of predictive coding
15:30 - 15:45: Spotlight 1: Shivang Rawat (NYU): Coherence influences the dimensionality of communication subspaces
15:45 - 16:00: Spotlight 2: Declan Campbell (Princeton University): Unraveling geometric reasoning: A neural network model of regularity biases
16:30-17:00 Spotlight session 2 (virtual)
Dr Michael Popov (OMCAN network; University of Oxford): Round Numbers and Representational Alignment. Fundamentalness of Ramanujan’s theorems
Dr Charles Cohen (Fidelis.ai): Identifying the active properties of layer 5 myelinated axons with automated and robust optimization of action potential propagation
Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision): Dimensionality of Intermediate Representations of Deep Neural Networks with Biological Constraints
Dr Anita Keshmirian (Munich LMU): Deciphering Causal Reasoning: Human vs. Language Models
Arvind Saraf (Attention Tag): Simulating the (Equinamous) Subconscious Mind
Michael Yifan Li (Stanford): Learning to Learn Functions
Shirin Vafaei (Osaka University): Brain-grounding of word embeddings for improving brain decoding of visual stimuli
17:00-18:00 Poster session 2 (virtual)
Dr Charles Cohen (Fidelis.ai): Identifying the active properties of layer 5 myelinated axons with automated and robust optimization of action potential propagation
Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision): Dimensionality of Intermediate Representations of Deep Neural Networks with Biological Constraints
Dr Sunder Bukya (University of Hyderabad ): Gender Disparities in Spatial Cognition: The Influence of Stereopsis and Mental Rotation
Arvind Saraf (Attention Tag): Simulating the (Equinamous) Subconscious Mind
Jay Verma (University of Delhi): Computational Modeling of Hyperpolarizing Astrocytic Influence on Cortical Up-Down State Transitions
Shivang Rawat (NYU): Coherence influences the dimensionality of communication subspaces
Michael Yifan Li (Stanford): Learning to Learn Functions
Shirin Vafaei (Osaka University): Brain-grounding of word embeddings for improving brain decoding of visual stimuli
Asit Pal (NYU): Feedback-Dependent Communication Subspace in a Multistage Recurrent Circuit Model Implementing Normalization
Simon Frieder (Oxford): (Non-)Convergence Results for Predictive Coding Networks
20:00 Conference dinner
Pizanias (Rhodes Old Town)
Sun 1st Oct 2023 (UTC+3)
10:00 Keynote: Professor Janneke Jehee
Probabilistic representations in the human visual cortex
Session: Representational alignment
11.15: Dr Ilia Sucholutsky (Chair; Princeton University): How and why we should study representational alignment
11.45: Professor Bradley Love (UCL): Aligning embedding spaces for model evaluation and learning
12.15: Professor Iris Groen (University of Amsterdam): Are DNNs representationally aligned with human scene-selective cortex? Elucidating the influence of image dataset, network training and cognitive task demands
13:00: Lunch
14:00: Professor Mayank Kejriwal (USC): On using Fodor's theory of modularity for situating large language models within a larger artificial general intelligence architecture
14.30: Dr Andreea Bobu (Boston Dynamics AI Institute): Aligning Robot and Human Representations
15:00 Final Conference Expedition and Closing Remarks
Speak to organizers to arrange transportation