Study Notes on Neuroscience

2 minute read

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My study notes on neuroscience, starting from molecular mechanisms and neural circuits to cognitive functions, brain disorders, and the intersection with artificial intelligence. Work In Progress.

Contents

  1. Introduction
    • What is neuroscience?
    • Major questions and scope
  2. Nervous System Overview
  3. Neurons
    • Neuron structure
    • Action potentials & signal transmission
    • Neurotransmitters & receptors
  4. Neuroanatomy
  5. Neural Communication and Embodied Emotions
  6. Perception and Vision
    • Sensory systems
    • Motor pathways & control
  7. Hearing
    • Auditory system
  8. Higher Cognitive Functions
    • Memory and learning
    • Language
    • Attention and consciousness
    • Emotion and motivation
  9. Methods in Neuroscience
    • Imaging techniques
    • Electrophysiology
    • Lesion studies
    • Computational models
  10. Disorders of the Nervous System
    • Neurological disorders
    • Psychiatric disorders
    • Developmental disorders
  11. Neuroscience & Artificial Intelligence
    • Inspiration from neuroscience
    • Feedback from AI to neuroscience
    • Shared challenges
    • Frontiers
  12. Applications & Future Directions
    • Neurotechnology
    • AI and computational neuroscience
    • Neuroethics

1. Introduction

  • What is neuroscience?
  • Major questions and scope (molecular → cognitive).

2. Nervous System Overview

  • Central Nervous System (CNS)
  • Peripheral Nervous System (PNS)
  • Central Nervous System vs. Peripheral Nervous System
    • Meninges
    • Peripheral diseases
    • Brain tumors
  • Basic cell types: neurons vs. glia

3. Neurons

  • Parts of a neuron: dendrites, soma, axon, synapse
  • Action potentials & signal transmission
  • Neurotransmitters & receptors

4. Neuroanatomy

Early Brain Development

Lesions

Major brain regions (cortex, cerebellum, brainstem, limbic system)

Functional areas (frontal, parietal, temporal, occipital lobes)

5. Neural-communication and Embodied Emotions

Neural Communications

  • Electrical language
  • Action potential

Neurotransmitters

  • Neurotransmitter Synthesis
  • Neurotransmitter Release
  • Chlotridial Toxins: Botox
  • Signal Termination
  • Receptors
  • Metabotropic Receptors

Embodied Emotions

  • Enteric Nervous System
  • Parasympathetics & Sympathetics
  • Parasympatheitc/Sympathetic Balance
  • Autonomic Pharmacology
  • Spinal Cord Injury

5. Perception and Vision

  • Vision, hearing, touch, taste, smell
  • Motor pathways & control

6. Hearing

7. Higher Cognitive Functions

  • The Vestibular Sense and Gaze
  • Memory and learning
  • Language
  • Attention and consciousness
  • Emotion and motivation

8. Methods in Neuroscience

  • Imaging (fMRI, PET, EEG, MEG)
  • Electrophysiology
  • Lesion studies
  • Computational models

8. Disorders of the Nervous System

  • Neurological (e.g., epilepsy, stroke, Parkinson’s)
  • Psychiatric (e.g., depression, schizophrenia)
  • Developmental (e.g., autism, ADHD)

9. Neuroscience & Artificial Intelligence

  • Inspiration from Neuroscience:
    • Neurons → artificial neural networks
    • Hebbian learning → learning rules in AI
    • Visual cortex → convolutional neural networks (CNNs)
  • Feedback from AI to Neuroscience:
    • Deep learning models as brain models (e.g., vision, language)
    • Tools for analyzing neural data (pattern recognition, decoding brain signals)
  • Shared Challenges:
    • Representation and abstraction of information
    • Understanding learning, memory, and generalization
  • Frontiers:
    • Brain-inspired computing (neuromorphic chips)
    • Cognitive architectures & large language models
    • Ethical considerations of human-AI parallels

10. Applications & Future Directions

  • Neurotechnology (BCI, neuroprosthetics)
  • AI and computational neuroscience
  • Neuroethics

WIP

References

  • [Principles of Neural Science – Kandel et al.]
  • [Neuroscience: Exploring the Brain – Bear, Connors & Paradiso]
  • [Neural Networks and Deep Learning – Goodfellow et al.]
  • [Surveys on Brain-Inspired AI]