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Spring Symposium, Thursday 20.06, 11:00 - 14:00 @Room 5008 Rabin building, University of Haifa

How can we adapt our models of the brain/ deep learning to study cognition as it is embedded in the world?

Speaker

Question and Topic

Background Materials

11:15-11:45 – Prof. Shimon Marom

Technion, Israel Institute of Technology
 

What are the challenges for Relational Science of Cognitive Systems?

Lecture and discussion

1. Marom S., (2020) Dialogue Across Chasm: Are Psychology and Neurophysiology Incompatible? Neuron 107 pp:600-602.

2. Ori, H., Hazan, H., Marder, E. and Marom S.,(2020) Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability, PNAS 117, pp:3575–3582.

11:45 -12:15 – Prof. Uri Hasson 

 Princeton University
 

12:15 – 12:45 Lunch – 

mingling and pizza

What we can (and can’t) learn from artificial neural networks about biological neural networks?

 Lecture and discussion
  1. Hasson, U., Nastase, S. A. & Goldstein, (2020)  A Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks. Neuron 105,
  2. Goldstein, A. and al. (2024). Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns. Nat Com. 15.

 12:45 – 14:00: Discussion: Response by the speakers (5 minute each) and discussion on the future of the relational science of cognitive systems and the use of deep learning models in natural learning environment

Register here by 13.06

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