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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. Model
2. Key Parameters
3. Phenomena Explained
4. Neural Correspondence
5. Optimality via SPRT
6. PyTorch — DDM Simulation
7. Extended Models
8. Applications
9. Relation to RL / Attractor
10. Common Pitfalls
10.1 DDM Only 2AFC
10.2 Boundary Fixed
10.3 Ramping = Single-Neuron Accumulation
10.4 Parameters Uniquely Identifiable
10.5 DDM = Brain's Exact Mechanism
11. Related Concepts
References