Difference between revisions of "VS265: Reading Fall2010"

From RedwoodCenter
Jump to navigationJump to search
(One intermediate revision by the same user not shown)
Line 1: Line 1:
 
==== 26 Aug ====
 
==== 26 Aug ====
* 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.
+
* 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]
  
 
Optional:
 
Optional:
* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/amir/vs298/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.
  
 
==== 31 Aug ====
 
==== 31 Aug ====
* 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.
+
* Mead, C. [http://redwood.berkeley.edu/vs265/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.
* [http://redwood.berkeley.edu/amir/vs298/lti-conv/lti-convolution.html Linear time-invariant systems and convolution]
+
* [http://redwood.berkeley.edu/vs265/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]
+
* [http://redwood.berkeley.edu/vs265/diffeq-sim/diffeq-sim.html Simulating differential equations]
* [http://redwood.berkeley.edu/amir/vs298/dynamics/dynamics.html Dynamics]
+
* [http://redwood.berkeley.edu/vs265/dynamics/dynamics.html Dynamics]
* Carandini M, Heeger D (1994) [http://redwood.berkeley.edu/amir/vs298/carandini-heeger.pdf Summation and division by neurons in primate visual cortex.]  Science, 264: 1333-1336.
+
* Carandini M, Heeger D (1994) [http://redwood.berkeley.edu/vs265/carandini-heeger.pdf Summation and division by neurons in primate visual cortex.]  Science, 264: 1333-1336.
  
 
==== 02 Sep ====
 
==== 02 Sep ====
* 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.
+
* Jordan, M.I. [http://redwood.berkeley.edu/vs265/PDP.pdf An Introduction to Linear Algebra in Parallel Distributed Processing] in McClelland and Rumelhart, ''Parallel Distributed Processing'', MIT Press, 1985.
* [http://redwood.berkeley.edu/amir/vs298/linear-neuron/linear-neuron-models.html Linear neuron models]
+
* [http://redwood.berkeley.edu/vs265/linear-neuron/linear-neuron-models.html Linear neuron models]
* [http://redwood.berkeley.edu/amir/vs298/linear-algebra/linear-algebra.html Linear algebra primer]
+
* [http://redwood.berkeley.edu/vs265/linear-algebra/linear-algebra.html Linear algebra primer]
 +
 
 +
==== 07 Sep ====
 +
* [http://redwood.berkeley.edu/vs265/superlearn1.pdf Handout] on supervised learning in single-stage feedforward networks
 +
* [http://redwood.berkeley.edu/vs265/superlearn2.pdf Handout] on supervised learning in multi-layer feedforward networks - "backpropagation"
 +
* Y. LeCun, L. Bottou, G. Orr, and K. Muller (1998) [http://redwood.berkeley.edu/vs265/lecun-98b.pdf  "Efficient BackProp,"]  in Neural Networks: Tricks of the trade, (G. Orr and Muller K., eds.).
 +
* [http://www.cnl.salk.edu/ParallelNetsPronounce/index.php NetTalk demo]

Revision as of 22:14, 7 September 2010

26 Aug

Optional:

31 Aug

02 Sep

07 Sep

  • Handout on supervised learning in single-stage feedforward networks
  • Handout on supervised learning in multi-layer feedforward networks - "backpropagation"
  • Y. LeCun, L. Bottou, G. Orr, and K. Muller (1998) "Efficient BackProp," in Neural Networks: Tricks of the trade, (G. Orr and Muller K., eds.).
  • NetTalk demo