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
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.
- Hasson, U., Nastase, S. A. & Goldstein, (2020) A Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks. Neuron 105,
- 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
