The Neural Mind audiobook cover - How Brains Think

The Neural Mind

How Brains Think

George Lakoff, Srini Narayanan

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The Neural Mind Summary & Overview

The Neural Mind (2025) presents a unified theory of human cognition that demonstrates how all abstract thinking emerges from the same neural circuits used for physical movement, perception, and bodily interaction with the world. Integrating decades of research from neuroscience, cognitive linguistics, and computational modeling, it demonstrates that metaphorical thinking is the foundation for how brains construct meaning. 

Who Should Listen to The Neural Mind?

  • Teachers, curriculum developers, and students who want to understand how embodied approaches can facilitate learning
  • Curious minds fascinated by groundbreaking discoveries that challenge fundamental paradigms 
  • Anyone interested in how physical experiences shape language, logic, and learning capabilities

About the Author: George Lakoff, Srini Narayanan

George Lakoff is Professor Emeritus of Cognitive Science and Linguistics at the University of California, Berkeley, where he pioneered the field of cognitive linguistics and discovered the systematic nature of conceptual metaphor in human thought. His influential works include Metaphors We Live By, The Political Mind, and Women, Fire, and Dangerous Things, which have fundamentally changed how scholars understand the relationship between language, thought, and embodied experience.

Srini Narayanan is Distinguished Scientist and Senior Research Director at Google DeepMind in Zurich, where he leads advanced research in machine learning and natural language processing systems. Previously, he served as Director of the International Computer Science Institute and held faculty positions in the Cognitive Science Program and Institute for Brain and Cognitive Sciences at UC Berkeley, where he co-founded the Neural Theory of Language research group. His computational modeling work has bridged neuroscience and artificial intelligence, contributing to the understanding of how biological neural networks process language and meaning.

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