VS298 (Fall 06): Reading: Difference between revisions
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* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/~amir/ | * Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/~amir/vs298/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988. | ||
* Mead, | * Mead, C. [http://redwood.berkeley.edu/~amir/vs298/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/~amir/vs298/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989. | ||
* Jordan, M.I. [http://redwood.berkeley.edu/~amir/ | * Jordan, M.I. [http://redwood.berkeley.edu/~amir/vs298/PDP.pdf An Introduction to Linear Algebra in Parallel Distributed Processing] in McClelland and Rumelhart, ''Parallel Distributed Processing'', MIT Press, 1985. | ||
* Zhang K, Sejnowski TJ (2000) [http://redwood.berkeley.edu/~amir/vs298/zhang-sejnowski.pdf A universal scaling law between gray matter and white matter of cerebral cortex.] PNAS, 97: 5621–5626. | |||
==== 08 Sep ==== | |||
* [http://redwood.berkeley.edu/~amir/vs298/linear-neuron/linear-neuron-models.html Linear neuron models] | |||
* [http://redwood.berkeley.edu/~amir/vs298/lti-conv/lti-convolution.html Linear time-invariant systems and convolution] | |||
* [http://redwood.berkeley.edu/~amir/vs298/diffeq-sim/diffeq-sim.html Simulating differential equations] | |||
Optional reading for more background: | |||
* [http://redwood.berkeley.edu/~amir/vs298/linear-algebra/linear-algebra.html Linear algebra primer] | |||
* [http://redwood.berkeley.edu/~amir/vs298/dynamics/dynamics.html Dynamics] | |||
Revision as of 06:12, 9 September 2006
29 Aug
- Bell, A.J. Levels and loops: the future of artificial intelligence and neuroscience. Phil Trans: Bio Sci. 354:2013--2020 (1999) here or here
06 Sep
- Dreyfus, H.L. and Dreyfus, S.E. Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint. Daedalus, Winter 1988.
- Mead, C. Chapter 1: Introduction and Chapter 4: Neurons from Analog VLSI and Neural Systems, Addison-Wesley, 1989.
- Jordan, M.I. An Introduction to Linear Algebra in Parallel Distributed Processing in McClelland and Rumelhart, Parallel Distributed Processing, MIT Press, 1985.
- Zhang K, Sejnowski TJ (2000) A universal scaling law between gray matter and white matter of cerebral cortex. PNAS, 97: 5621–5626.
08 Sep
- Linear neuron models
- Linear time-invariant systems and convolution
- Simulating differential equations
Optional reading for more background:
