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PHZ4710 - Introduction to Biological Physics
PHZ4710 - Introduction to Biological Physics
0. What is Biological Physics?
Spatial and temporal scales in Biology
1. Diffusion vs. Navigation
Random walk
Run-and-tumble
2. Probability and Statistics
Counting photons
Fluctuation test
3. Stochastic Processes
Birth-death process
Stochastic gene expression
4. Reaction Kinetics
Protein folding
Protein folding part2
Kinetic proofreading
5. Dynamical Systems
The
lac
Operon
Lotka-Volterra equations
The Lorenz system
6. Neural Networks
Hopfield network
Simple perceptron
Multi-layer networks
7. Data Analyses
Handwritten digits
Eigenworms
Cancer RNA-Seq data
8. Information and Strategy
Bet-hedging
Value of information
Evolutionary games
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.pdf
Contents
1. Associative memory: the Hopfield network
Exercise:
the Hopfield network
2. Signal processing: the simple perceptron
Exercise:
the simple perceptron
3. “Deep” learning: multi-layer networks
Exercise:
multi-layer networks
Neural Networks
Contents
1. Associative memory: the Hopfield network
Exercise:
the Hopfield network
2. Signal processing: the simple perceptron
Exercise:
the simple perceptron
3. “Deep” learning: multi-layer networks
Exercise:
multi-layer networks
Neural Networks
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1. Associative memory: the Hopfield network
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Exercise:
the Hopfield network
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2. Signal processing: the simple perceptron
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alt text
Exercise:
the simple perceptron
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3. “Deep” learning: multi-layer networks
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alt text
Exercise:
multi-layer networks
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