# Difference between revisions of "VS298 (Fall 06): Reading"

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==== 06 Sep ==== | ==== 06 Sep ==== | ||

− | * 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: