|
Welcome to the Methods in Computational Neurobiology (PHYSL 317) Course Website. Here you can find information about prerequisites, get homework assignments with solutions, and browse the schedule for upcoming lectures.
|
| --PART I - NEURONAL MODELING: FROM BIOPHYSICS TO BEHAVIOR |
|
Dr. Nelson's Lecture Schedule
| Date | Lecture Number / Topic | Links |
| N/A | 0. Introduction to MATLAB | Guides / HW 0
| | 1/26 | 1. Intro / RC circuits
(notes) | HW 1
| | 2/2 | 2. Integrate-and-fire model
(slides) | HW 2
| | 2/9 | 3. Hodgkin-Huxley model (reading) (figs) | HW 3
| | 2/16 | 4. Synaptic inputs, small networks
(slides) | HW 4
| | QUIZ: Lectures 0-2 |
| | 2/23 | 5. Simple behaviors, phototaxis (slides) | HW 5
| | 3/1 | 6. Real-world inputs, noise (slides) | HW 6
| | 3/8 | 7. Adaptive behavior, learning (slides) |
| | QUIZ: Lectures 3-5 |
|
Texts (recommended)
Nelson, M.E. (in press) Electrophysiological Models
In: Databasing the Brain: From Data to Knowledge.
(S. Koslow and S. Subramaniam, eds.) Wiley, New York.
[
preprint ]
Braitenberg, V (1984) Vehicles: Experiments in Synthetic Psychology,
The MIT Press.
Additional resources
Koch, C. and Segev, I (1998) Methods of Neuronal Modeling: From Ions to
Networks. MIT Press, Cambridge MA
|
| --PART II - ABSTRACT NETWORK MODELS |
|
Dr. Anastasio's Lecture Schedule (also available as .pdf or .doc)
I. Lateral Inhibition - 3/15
- Ratliff K, Knight BW, Graham W (1969) On tuning and amplification by lateral inhibition. Proc Natl Acad Sci 62:723-730
- Didday RL (1976) A model of visuomotor mechanisms in the frog optic tectum. Math Biosci 30:169-180
- Coombs S, Mogdans J, Halstead M, Montgomery J (1998) Transformations of peripheral inputs by the first-order lateral line brainstem nucleus. J Comp Physiol A 182: 609-626
II. Self-Organizing Feature Maps - 3/29
- Malsburg CH von der (1973) Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14:85-100
- Kohonen T (1982) Self-organized formation of topologically correct feature maps. Biol Cybern 43:59-69
- Obermayer K, Ritter H, Schulten K (1990) A principle for the formation of the spatial structure of cortical feature maps. Proc Natl Acad Sci 87:8345-8349
III. Hopfield Networks - 4/5
- Hopfield JJ (1982) Neural networks and physical systems with emergent collective abilities. Proc Natl Acad Sci 79:2554-2558
- Hopfield JJ (1984) Neurons with graded response have collective properties like those of two-state neurons. Proc Natl Acad Sci 81:3088-3092
- Rolls ET (1989) Functions of neuronal networks in the hippocampus and neocortex in memory. In: Byrne JH, Berry WO (Eds) Neural models of plasticity: experimental and theoretical approaches. Academic Press, San Diego, pp 240-265
IV. Back-Propagation - 4/12
- Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL, PDP Research Group (Eds) Parallel distributed processing: explorations in the microstructure of cognition: vol 1: foundations. MIT Press, Cambridge, pp 318-362
- Anastasio TJ, Robinson DA (1989) the distributed representation of vestibulo-oculomotor signals by brain-stem neurons. Biol Cybern 61:79-88
- Zipser D, Anderson RA (1988) A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature 331:679-684
V. Genetic Algorithms - 4/19
- Holland JH (1992) Adaptation in natural and artificial systems. MIP Press, Cambridge, ch 1
- Happel BL, Murre JMJ (1994) Design and evolution of modular neural network architectures. Neural Networks, 7:985-1004
- Schaffer JD, Caruana RA, Eshelman LJ (1990) Using genetic search to exploit the emergent behavior of neural networks. Physica D 42:244-248
VI. Temporal Difference Learning - 4/26
- Sutton RS (1988) Learning to predict by the methods of temporal differences. Machine Learning 3:9-44
- Barto AG (1995) Adaptive critics and the basal ganglia. In: Houk JC, Davis JL, Beiser DG (Eds) Models of information processing in the basal ganglia. The MIT Press, Cambridge, ;; 215-232
- Montague PR, Dayan P, Sejnowski TJ (1996) A framework for mesencephalic dopamine systems based on predictive Hebbian learning. J Neurosci 16:1936-1947
VII. Recurrent Back-Propagation - 5/5
- Williams RJ, Zipser D (1989) A learning algorithm for continually running fully recurrent neural networks. Neural Comp 1:270-280
- Anastasio TJ (1991) Neural network models of velocity storage in the horizontal vestibulo-ocular reflex. Biol Cybern 64:187-196
- Zipser D (1991) Recurrent network model of the neural mechanisms of short-term active memory. Neural Comp 3:179-193
Suggested Textbooks
- Beal R, Jackson T (1990) Neural computing: an introduction. Institute of Physics Publishing, Bristol, UK
- Churchland PS, Sejnowski TJ (1992) The computational brain. MIT Press, Cambridge
- Haykin S (1999) Neural networks: a comprehensive foundation. second edition. Prentice Hall, Upper Saddle River
|
|
|
