Neuroscience for Artificial Intelligence

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Acknowledgments
Chapter 1: Evolving under Constraints
	1.1: An Evolutionary Continuum
	1.2: Overall Structure of the Brain
	1.3: Number of Neurons and Their Connections
	1.4: Fuel for the Brain
	1.5: Summary
Chapter 2: The Senses as Basic Input
	2.1: Olfaction
		2.1.1: Prioritizing with Separation and Tagging?
		2.1.2: The Spatiotemporal Resolution of Olfaction
	2.2: Taste
	2.3: Hearing
	2.4: Visual Signal Processing in Each Cell
	2.5: Sensing Mechanical Forces
	2.6: Summary
Chapter 3: Changing Priorities with Age
	3.1: Growing and Learning with the Cerebellum
	3.2: A Cortical Network that Ripens with Age
	3.3: Summary
Chapter 4: Memory in Cells
	4.1: Engrams: Single-Cell Basis of Memory
	4.2: To Engage More Cells for a Stronger Memory?
	4.3: Competition for Allocation into a Memory Engram
	4.4: Memory Consolidation in View of Hashing
	4.5: Combining Old and New
	4.6: Summary
Chapter 5: Memory in Dendritic Spines
	5.1: Spiny Neurons
	5.2: Local Spine Dynamics
		5.2.1: Memory Decay Down to Individual Spines
		5.2.2: New and Leaky
		5.2.3: Thin and Learning Fast
	5.3: Memory Replays at Synapses
	5.4: Sharp-Wave Ripples—Weights of Dendritic Spines in Action
	5.5: Gated Storage of New Details
	5.6: Summary
Chapter 6: Sleeping and Dreaming
	6.1: Non-Rapid Eye Movement Sleep—Flushing Waste Out of the Brain and Stock-Up
	6.2: The Alternating and Progressing Phases of Sleep
	6.3: Interneurons—Global or Local Patterning with Brain-Wide Oscillations
	6.4: Evolutionarily Ancient Circuits Tapping into Our Dreams?
	6.5: Rapid Eye Movement Sleep
	6.6: Daydreaming and the Refreshing Effect of Switching Tasks
	6.7: Summary
Chapter 7: Mastering Space and Time
	7.1: Place Cells and Grid Cells
	7.2: Stellate Neurons and Pyramidal Neurons for Objects and Grids?
	7.3: Time or Rhythm?
	7.4: Sensing Speed and Acceleration
	7.5: The Vestibular System for Sensing Self-Motion
	7.6: Vector Information from Other Cells Around the Hippocampus
	7.7: Goal-Directed Vector Navigation
	7.8: A More Versatile Generative Adversarial Network in the Brain?
	7.9: Social Navigation
	7.10: Summary
Chapter 8: Arithmetics, Talking and Reading
	8.1: A Distributed Network That Works Together
	8.2: Object Tracking for Low Numbers
	8.3: Torus and the Number of Functional Domains on the Hippocampus?
	8.4: Analog Representation of Numbers in Humans and Animals
	8.5: Abstract Representation of Numbers and Arithmetic Operations
	8.6: Multi-Module Coordination during Singing
	8.7: Talking or Reading
		8.7.1: Hippocampus-Dependent Procedural Memory for Speaking
		8.7.2: Reading from Grids to Details?
	8.8: Summary
Chapter 9: Causality and Cognitive Exploration
	9.1: To Explore or Not
	9.2: Expected or Unexpected
	9.3: Path Diagrams and Counterfactuals in View of Navigation
	9.4: Summary
Index