1. What it takes to create human thought. The creation of perception : color ; What are ideas? ; The brain's tool kit ; The body is neural ; Dual models ; Generalizations ; Functional generalization ; Cascades ; Convergence-divergence zones ; Explaining basic-level concepts ; Sound symbolism ; Creating perception: seeing, feeling, and hearing ; The takeaways
2. How thought works. From motor control to thought ; The big surprise : aspect is motor control ; Image schemas : starting with Kant ; On schemas ; Schema embodiment ; Thinking with schemas ; Frames ; The 2,500-year-old theory ; Conceptual metaphor ; Scales and their logic ; Primary embodied metaphor ; Metaphor and neuroscience ; Conceptual integration and consciousness ; Categories ; The takeaways
3. The neural mechanisms of thought. Scope and challenges ; Neural firing : the basic steps ; What is structured neural computational modeling? ; Basic circuit types ; Coordination and cascades : evidence from behavior control ; Combinatorial circuits ; Multiple mapping circuits ; Control and coordination circuits ; Integrative circuits and simulation ; Simulation in language and thought ; The takeaways ; Applying the neural theory
4. Neural language. Thinking neurally about language ; Basic circuit types in grammar ; The scope and power of ideas in grammar due to circuits for ideas ; Embedding and composition ; The coordination of multiple circuits in grammar ; Lexicon and grammar ; There is no natural language without meaning ; Early intimations of integration in grammar ; Case study 1: One-anaphora ; Case study 2: Cascades of metaphors ; Case study 3: Looking over without overlooking ; Language types and embodiment ; The two-type language contrast ; How ideas spread ; Neural phonology ; The takeaways
Afterword. The neural mind versus deep learning AI.
