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[Illinois] MCB 493 Lecture 13: Predictor-Corrector Models and Probabilistic Inference
30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
[Illinois] MCB 493 Lecture 10: Time Series Learning and Nonlinear Signal Processing
[Illinois] MCB 493 Lecture 9: Probability Estimation and Supervised Learning
Supervised learning algorithms can train neural units and networks to estimate probabilities and simulate the responses of neurons to multisensory stimulation.
[Illinois] MCB 493 Lecture 14: Future Directions in Neural Systems Modeling
In the future, neural systems models will become increasingly complex and will span levels from molecular interactions within neurons to interactions between networks
[Illinois] MCB 493 Lecture 11: Temporal-Difference Learning and Reward Prediction
29 Oct 2013 | | Contributor(s):: Thomas J. Anastasio
Temporal-difference learning can train neural networks to estimate the future value of a current state and simulate the responses of neurons involved in reward processing.