VS265: Syllabus
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Syllabus
Aug. 28: Introduction
- Theory and modeling in neuroscience
- Goals of AI/machine learning vs. theoretical neuroscience
- Turing vs. neural computation
Sept. 2,4: Neuron models
- Membrane equation, compartmental model of a neuron
- Linear systems: vectors, matrices, linear neuron models
- Perceptron model and linear separability
Sept. 9,11: Guest lectures
- Matlab/Python tutorial
- Paul Rhodes, Evolved Machines: Multi-compartment models; dendritic integration
Sept. 16,18: Supervised learning
- Perceptron learning rule
- Adaptation in linear neurons, Widrow-Hoff rule
- Objective functions and gradient descent
- Multilayer networks and backpropagation
Sept. 23,25: Unsupervised learning
- Linear Hebbian learning and PCA, decorrelation
- Winner-take-all networks and clustering
Sept. 30, Oct. 2: Guest lecture
- Fritz Sommer: Associative memories and attractor neural networks
Oct. 7,9: Guest lectures
- Jerry Feldman: Ecological utility and the mythical neural code
- Pentti Kanerva: Computing with 10,000 bits
Oct. 14: Unsupervised learning (continued)
Oct. 16: Guest lecture
- Tom Dean, Google: Connectomics
Oct. 21: Sparse, distributed coding
- Autoencoders
- Natural image statistics
- Projection pursuit
Oct. 23: Plasticity and cortical maps
- Cortical maps
- Self-organizing maps, Kohonen nets
- Models of experience dependent learning and cortical reorganization
Oct. 28: Manifold learning
- Local linear embedding, Isomap
Oct. 30, Nov. 4,6: Recurrent networks
- Hopfield networks, memories as 'basis of attraction'
- Line attractors and `bump circuits’
- Dynamical models
Nov. 13,18,20,25: Probabilistic models and inference
- Probability theory and Bayes’ rule
- Learning and inference in generative models
- The mixture of Gaussians model
- Boltzmann machines
- Sparse coding and ‘ICA’
- Kalman filter model
- Energy-based models
Dec. 2,4: Neural implementations
- Integrate-and-fire model
- Neural encoding and decoding
- Limits of precision in neurons
- Neural synchrony and phase-based coding
Dec. 9,11: Special topics
- TBD
- TBD