Introduction
1. The nature of scientific understanding
1.1 Understanding in the physical sciences
1.2 Complex physical systems and chaotic behaviour
1.3 Complex control systems
1.4 The brain and hierarchies of description
1.5 The basis for understanding the brain
1.6 Computer modelling and its limitations
1.7 Plan of the book
2. Higher Cognition
2.1 Attention
2.2 Memory
2.3 Speech
2.4 Arithmetic
2.5 Face Recognition
2.6 Emotions
2.7 Hobbies and intellectual disciplines
2.8 Tool Making
2.9 Consciousness and self awareness.
2.10 Individual Differences and Complex society
2.11 Art, music and literature
2.12 Higher cognition and the brain
3. Brain Anatomy
3.1 Major anatomical structures of the brain
3.2 Roles of major anatomical structures
3.3 Neurons, axons, dendrites and synapses
3.4 Ion pumps
3.5 Ion channels
3.6 Synapses and their response to an incoming action potential3.8 Generation of output action potentials
3.9 Different types of neurotransmitter
3.10 Flow of information between neurons
3.11 Electrical Activity of the Brain
3.12 Descriptive Gaps
4. Neuron Physiology
4.1 Neuron morphology and general electrical properties
4.2 Molecules embedded in the neuron membrane4.3 Electrochemical signals within and between neurons
4.4 Synapses and synaptic strengths
4.5 Specific molecules
4.6 Chemicals and information processing
5. Intracellular message chains
5.1 Gene expression
5.2 Kinase cascades
5.3 Neuron processes
5.4 Multiple paths contribute to any neuron behaviour
6. Major Anatomical Structures
6.1 Sources of information
6.2 High level structure of the human brain
6.3 The Cortex
6.4 The thalamus
6.5 The basal ganglia
6.6 The amygdala
6.7 The hypothalamus and pituitary gland
6.8 Habenula
6.9 Cerebellum
6.10 Basal forebrain
6.11 Neurotransmitter distribution systems
6.12 The hippocampal system
6.13 Relating structure and function
7. Constraints on the physical architecture of the brain
7.1 Conditions and behaviours
7.2 Practical requirements
7.3 Behavioural meanings of condition detections and exchanges
7.4 Pressures on the definition of modules
7.5 Hierarchy of modules and hierarchy of descriptions
7.6 Sharing of resources across the processing of different input states
7.7 Integration of module inputs on different levels of detail
7.8 Limitations to receptive field changes
7.9 Entanglement of condition definition and detection
7.10 Corollaries of receptive field consistency
7.11 Modulation of total receptive field detection
7.12 Development of a modular hierarchy
7.13 Cascades of condition definition/detection
7.14 Associations between receptive fields and behaviours
7.15 Types of behaviour
7.16 Structure of competition
7.17 Modulation of behaviour type
7.18 Management of frequent action sequences
7.19 Identification of provisional connections
7.20 Practical requirements and architectural constraints
8. Appearance of architectural constraints in the brain
8.1 Brain structures and information processes
8.2 Information model for the cortex
8.3 Information model for the thalamus
8.4 Information model for the basal ganglia
8.5 Information model for the amygdala and hypothalamus
8.6 Information model for the hippocampal system
8.7 Information model for the basal forebrain
8.8 Information model for the cerebellum
8.9 Information model for the neurotransmitter distribution systems
8.10 Application of information models
9. Memory and the organisation of experience
9.1 Organisation of experience into similarity circumstances
9.2 Detection of similarity circumstances
9.3 Semantic memory
9.4 Priming memory
9.5
