Skip to content
TLexDR
MB
Guest dossier

Matt Botvinick

1 appearance ·5 ideas explored

Across 1 conversation, Matt Botvinick ranges across psychology, human-agent interaction, neuroscience. Meta learning in AI can emerge spontaneously in recurrent neural networks, creating new learning algorithms from network dynamics. Dopamine's role in reinforcement learning mirrors temporal difference learning, suggesting a neural basis for AI techniques.

Synthesized by TLexDR from 1 conversation. AI-generated. Report an inaccuracy

For the specialist
preview
Meta learning in AI involves neural networks spontaneously developing new algorithms, highlighting a novel autonomous capability.
#106Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind
The prefrontal cortex's role in overriding habits suggests a model for AI systems to manage task flexibility.
#106Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind
The appearance

Every conversation, in order

Reading list

What they pointed you toward

books

Enlightenment Now
by Steven Pinker
Parallel Distributed Processing
by David E. Rumelhart, James L. McClelland
The Man Who Mistook His Wife for a Hat
by Oliver Sacks
Mind in the Making
by Luria

papers

Memory Augmented Neural Networks
by Unknown
The Prefrontal Cortex as a Meta Reinforcement Learning System
by Unknown
Dopamine and Temporal Difference Learning
by Naochit et al.
Every idea, by region

The full territory