Thinking About Thinking
Thinking About Thinking, a 501(c)3 Non-Profit Organization that cultivates and spreads computational ideas about intelligence.
You'll find videos and recordings of our conferences here, ranging in topics from cognitive science to machine learning.
⭐️ Socials:
https://linktr.ee/thought_channel
🧠 Mathematics of Neuroscience and AI:
https://neuromonster.org
🤖 Global Summit on Open Problems for AI:
https://algopreneurship.ai
Prof. Skyler Wang - Three Questions ahead of the AE Global Summit on Open Problems for AI
Nicolay Hagen - Three Questions ahead of the AE Global Summit on Open Problems for AI
Dr Ruairidh Battleday - Three Questions ahead of the AE Global Summit on Open Problems for AI
Prof Dan V. Nicolau Jr - Three Questions ahead of the AE Global Summit on Open Problems for AI
Dr Felix Sosa - Three Questions ahead of the AE Global Summit on Open Problems for AI
Dr James Whittington - Three Questions ahead of the AE Global Summit on Open Problems for AI
Discovering symbolic cognitive models with LLMs (Dr Kim Stachenfeld)
Mathematics of Neuroscience and AI 2025 (Croatia) - Opening Remarks
Everyone Knows What Attention Is (Professor Lisa Marie Vortmann)
How perturbations and climate change shape dynamics of neurons and circuits - Eve Marder
Memory, Planning, and Reasoning in Natural and Artificial Intelligence (Dr Ida Momennejad)
How Limited Minds Scaffold Complex Concepts (Professor Bonan Zhao)
From Open-ended Experience to Wisdom: where Memories in Brains and AIs Converge (Dr Chen Sun)
Are People Still Smarter than Machines? (Professor Jay McClelland)
A Language of Thought theory of geometric shape perception in the brain (Dr Mathias Sablé Meyer)
Learning from Small Data: Powder and Pathogens (Dr. Dan Nicolau)
Phase Transitions, Clustering, and Random Variation in Language Model Training (Dr Naomi Saphra)
Neural representational geometries reflect differences in monkeys and RNNs
Revealing Hidden Similarities Between Models/Minds Using Mechanistic Interpretability (Mike Lepori)
Neural circuit mechanisms of value-based decision-making (Professor Christine Constantinople)
Motor planning under uncertainty (Dr Juan Gallego)
Quantitative behavior to interrogate social learning during aggression (Professor Annegret Falkner)
Implications of retrospective causal learning (Professor Vijay Namdoodiri)
Impact of Behavioral Time Scale Synaptic Plasticity on Cognition Models. (Professor Wolfgang Maass)
In silico experiments unveil distributed computations during flexible behavior (Dr Joao Barbosa)
Optimizing Stimuli to Test Models of Perception (Dr Jenelle Feather)
What can generative AI learn from human gameplay? Katja Hofmann (Microsoft)
AE Global Summit on Open Problems for AI - Interviews, London 23-24th Oct 2024
AE Global Summit on Open Problems for AI - London 23-24th Oct 2024 (Thinking About Thinking)
AI & Medicine - Panel discussion at AE Global Summit on Open Problems for AI (London, Oct 24th 2024)