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🧠 Neuroscience
Foundations
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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. Discovery
2. Grid Pattern
3. Neural Basis
4. Modular Organization
5. Path Integration
6. PyTorch — Grid-like Pattern from RNN
7. Grid ↔ Place Relationship
8. Abstract Grid Uses
9. Pathology
10. AI / Banino 2018
11. Common Pitfalls
11.1 Grid = Unique Position
11.2 Grid Only Spatial
11.3 Path Integration Perfect
11.4 RNN Training Auto-emerges Grid
11.5 Grid = Place
12. Related Concepts
References