 Part 1: Neurons and Synapses   
W 1/18  1. Introduction and Overview 
NIH Brain Facts (chapter 1)
 
M 1/23  2. Neurons and Membranes 
Trappenberg Ch 1.12.2  
W 1/25  3. Spikes and Cables  Trappenberg Ch 2 (C)  HW1 out 
F 1/27  Math and Matlab Tutorial (optional) 
Trappenberg Math Appendix
 
M 1/30  4. Synapse and Dendrites  Trappenberg Ch 3.1, 3.3  
W 2/1  5. Logical Computation 
Trappenberg 3.1,3.5
F. Rosenblatt  Perceptron.
McCulloch and Pitts (1943)
 
M 2/6  6. Synaptic plasticity  Trappenberg Ch 4
Abbott and Nelson (2000)
 
W 2/8  7. Hebbian Learning  Trappenberg Ch 4, HPK Ch 8
Oja (1982)
 HW1 due. HW2 Out 
 Part 2: Representation and Computation   
M 2/13  8. Sensory Systems 
 
W 2/15  9. Source Separation and Inference 
Foldiak (1990)
 
M 2/20  10. Redundancy Reduction 
Olshausen and Field (1997)
(2004)
 
W 2/22  11. Deep Belief Net 
Trappenberg Ch 10.3
Hinton and Salahutdinov (2006)
 HW2 due. HW3 out. 
M 2/27  12. Computational Maps  HPK Ch 9. Trappenberg 7.17.2
Kohonen (1982)
 
W 3/1  Midterm 
 Term Project Preliminary Proposal due 
3/63/10  Midsemester and Spring break. 
 March 13. Midterm grade due 
 PART 3: Neural Networks   
M 3/13  13. Recurrent Network 
Marr and Poggio (1976)
Samonds et al. (2013)
Wang et al. (2018)
 Term Project Proposal in 
W 3/15  14. Attractor network and Memory  Trappenberg Ch 8. Ch 9.4
Hopfield and Tank (1986)
 HW3 due. HW4 Out 
M 3/20  15. Hierarchical Modular Systems 
Trappenberg 5.1.
Van Essen et al (1992)
Fellman and Van Essen ( 1991)
 
W 3/22  16. Neural Networks 
Trappenberg Ch 6, 10.1.
Fukushima (1988),
Krizhevsky et al. (2012)
 
M 3/27  17. Deep Learning and the Brain 
LeCun, Bengio and Hinton (2015)
Yamins and DiCarlo (2016)
 
 PART 4: PREDICTION AND FEEDBACK   
W 3/29  18. Reinforcement Learning 
Trappenberg. Ch 9.
Niv (2009),
Montague et al. (1996)
 HW4 due. HW5 out. 
M 4/3  19. Hierarchical Casual Inference 
Mumford (1992)
Rao and Ballard (1998)
Lee and Mumford (2003)
 
W 4/5  20. Predictive Coding 
Trappenberg Ch 10.
Lotter et al (2016),
Colah (2015)
Rao (2015)
 
M 4/10  22. Cue Integration 
Ernst and Banks (2002).
Kording and Wolpert (2004)


W 4/12  21. Probabilistic Codes 
Weiss et al. (2002).
Ma et al. (2006)
Kersten and Yuille (2003)
 HW5 due. HW6 out. 
F 4/14  Carnival No Journal Club   
M 4/17  23. Inference Algorithms 
Orban et al. (2016).
Shivkumar et al. (2019)
 
W 4/19  24. Attention Computation 
Trappenberg Ch 10.
Vaswani et al. (2017)
Lindsay (2020)
Knudsen (2007)
 
M 4/24  25. Conscious Systems 
Blum and Blum (2018)
Koch (2018).
 
W 4/26  26. Review   HW6 due. 
M 5/4  Final Exam Period   
W 5/10  Final Grade (for Seniors) due 4 p.m.   