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🧠 Neuroscience
Foundations
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Cognitive Neuroscience
Computational Neuroscience
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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. Goal-Driven Modeling
2. Representational Similarity Measures
3. Where Similar
4. Where Different (Mechanism)
5. PyTorch — RSA
6. Backprop's Bio Plausibility
7. Bidirectional Inspiration History
8. NeuroAI Agenda
9. Caveats
10. Common Pitfalls
10.1 CNN = Visual Cortex
10.2 High r → Same Algorithm
10.3 Backprop Impossible in Brain
10.4 LLM = Language Brain
10.5 NeuroAI = Fitting DL to Brain
11. Related Concepts
References