VS265: Reading: Difference between revisions
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==== 28 Aug ==== | ==== 28 Aug ==== | ||
* '''HKP''' chapter 1 | |||
* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988. | * Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988. | ||
* Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here] | * Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here] | ||
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==== 2 Sept ==== | ==== 2 Sept ==== | ||
* '''HKP''' chapter 5, '''DJCM''' chapters 38-40 | |||
* Mead, C. [http://redwood.berkeley.edu/vs265/Mead-intro.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Mead-neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989. | * Mead, C. [http://redwood.berkeley.edu/vs265/Mead-intro.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Mead-neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989. | ||
* [http://redwood.berkeley.edu/vs265/linear-neuron/linear-neuron-models.html Linear neuron models] | * [http://redwood.berkeley.edu/vs265/linear-neuron/linear-neuron-models.html Linear neuron models] | ||
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* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992. | * Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992. | ||
* Zhang K, Sejnowski TJ (2000) [http://redwood.berkeley.edu/vs265/zhang-sejnowski.pdf A universal scaling law between gray matter and white matter of cerebral cortex.] PNAS, 97: 5621–5626. | * Zhang K, Sejnowski TJ (2000) [http://redwood.berkeley.edu/vs265/zhang-sejnowski.pdf A universal scaling law between gray matter and white matter of cerebral cortex.] PNAS, 97: 5621–5626. | ||
==== 4 Sept ==== | |||
* '''Reading''': '''HKP''' chapter 6, '''DJCM''' chapters 38-40, 44, '''DA''' chapter 8 (sec. 4-6) | |||
<!-- unsupervised learning: | |||
* '''Reading''': '''HKP''' chapter 8, '''DJCM''' chapter 36, '''DA''' chapter 8, 10 --> | |||
Revision as of 04:31, 1 September 2014
28 Aug
- HKP chapter 1
- Dreyfus, H.L. and Dreyfus, S.E. Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint. Daedalus, Winter 1988.
- Bell, A.J. Levels and loops: the future of artificial intelligence and neuroscience. Phil Trans: Bio Sci. 354:2013--2020 (1999) here or here
- 1973 Lighthill debate on future of AI
Optional:
- O'Rourke, N.A et al. "Deep molecular diversity of mammalian synapses: why it matters and how to measure it." Nature Reviews Neurosci. 13, (2012)
2 Sept
- HKP chapter 5, DJCM chapters 38-40
- Mead, C. Chapter 1: Introduction and Chapter 4: Neurons from Analog VLSI and Neural Systems, Addison-Wesley, 1989.
- Linear neuron models
- Linear time-invariant systems and convolution
- Simulating differential equations
- Dynamics
- Carandini M, Heeger D (1994) Summation and division by neurons in primate visual cortex. Science, 264: 1333-1336.
Optional:
- Land, MF and Fernald, RD. The Evolution of Eyes, Ann Revs Neuro, 1992.
- Zhang K, Sejnowski TJ (2000) A universal scaling law between gray matter and white matter of cerebral cortex. PNAS, 97: 5621–5626.
4 Sept
- Reading: HKP chapter 6, DJCM chapters 38-40, 44, DA chapter 8 (sec. 4-6)
