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🧠 Neuroscience
Foundations
Neuroanatomy
Cellular & Molecular Neuroscience
Systems Neuroscience
Cognitive Neuroscience
Computational Neuroscience
Brain-Computer Interface
Neurotech Frontiers
Neuro Disorders
Computational Neuroscience
Spiking Neural Network (SNN) — Neuromorphic Computing
Predictive Coding
Bayesian Brain
Hopfield Networks
Grid Cells — Neural Spatial Map
Reinforcement Learning in the Brain
Free Energy Principle
Attractor Networks
Neural Population Dynamics
Drift-Diffusion Model
Efficient Coding Hypothesis
Divisive Normalization
Synaptic Plasticity Models
Deep Learning vs Brain
Reservoir Computing
Compartmental Models
Whole-Brain Modeling
Information Theory in Neuroscience
Neural ODEs & Continuous-Time Models
Energy-Based Models & the Brain
Table of Contents
1. Basic Idea
2. Cable Equation
3. Single → Multi-Compartment
4. Compartment Equation
5. PyTorch — 3-Compartment Simulation
6. Simulation Tools
7. Numerical Methods
8. Blue Brain / Detailed Reconstruction
9. Simplification vs Detail Tradeoff
10. Common Pitfalls
10.1 More Detailed = More Correct
10.2 Point Neuron Sufficient
10.3 Explicit Integration OK
10.4 More Compartments More Accurate
10.5 Simulation = Reality
11. Related Concepts
References