up:language_and_symbolsaicomputational_neuroscience

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From gemini 2025-06-08

Implications for Computational Neuroscience and AI
​The intersection of these two concepts is actively driving the development of Neuro-symbolic AI, which attempts to merge the robust learning and pattern recognition of neural networks with the rigorous logic and reasoning of symbolic systems.
- System 1 vs. System 2: Predictive coding efficiently maps onto Kahneman's "System 1" (fast, automatic, continuous, intuitive inference). Symbolic representation maps onto "System 2" (slow, deliberate, logical, rule-based reasoning).
- Active Inference: Under frameworks like the Free Energy Principle, symbolic reasoning is just another tool the brain uses to minimize long-term prediction error (surprise). Manipulating symbols allows an agent to run highly abstract, counterfactual simulations of the future without the computational cost of simulating every continuous sensorimotor detail.

neuro_symbolic_architectures
https://youtu.be/qCli4M38AKk?si=JHu0v3U8_s0Mw4kq

André Freitas
https://youtu.be/IvXEKacVc4k?si=OTklTPQXiNKBs3eJ

Uri Alon
https://youtu.be/-Au42BuWTEc?si=wFRyvMJgNLPz8U0L

created on: Sat May 09 2026