Reference+Materials

toc Here's a page to share important papers, review articles, relevant news, etc.

=1. Speaker(s) of the Day=

= **WEEK 1** = Monday, July 18th, 2011

John Doyle


Tuesday, July 19th, 2011

Albert Compte


Wednesday, July 20th, 2011

**Paul Verschure**
A short statement on the Distributed Adaptive Control architecture (DAC). DAC is a theory of how the ental features of brains emerge out of a tightly coupled multi-layer architecture. In this paper we elucidate a novel non-neuronal feedback loop that acts between behavioral and perceptual learning.

Cortical circuits are characterized by dense local connectivity. It is not clear what the functional consequences are of this anatomical feature and available suggestions propose a role in gain control. Here we propose that the functional consequence of this structural feature is the rapid compression of stimulus induced spatio-temporal dynamics into a, so called, temporal population code.

If we assume that the neo-cortical sheet is uniform could we generate a physiologically plausible perceptual hierarchy using just a few computational principles. This paper shows that the statistical principles of smoothness and de-correlation would suffice to generate a ventral visual pathway for a synthetic agent.

The DAC architecture proposes that the representational primitives of action planning are, so called, sensori-motor couplets. Thus the brain follow this principle. In this paper we show that the convergence of inputs from the lateral and medial entorhinal cortex onto the dentate gyrus provides exactly this kind of integrated encoding. In addition we show that with a mixing factor of .3 we can account for the, so called, rate remapping, a new encoding scheme that has been recently demonstrated. See also:

One way to test brain theory is in the clinic. The Rehabilitation Gaming System described in this paper applies the DAC framework in the domain of stroke rehabilitation. In this paper we show that our virtual reality based approach is more effective in inducing functional recovery in acute stroke patients as compared to current best clinical practice.

Review paper

Thursday, July 21st, 2011

**Jonathan Victor**
This is a review article on retina and lateral geniculate nucleus These papers are on V1 and V2 responses to two-dimensional Hermite functions The theory behind the two-dimensional Hermites This is about high-order statistics of natural scenes This is about scale-dependent correlations among V1 neurons

Friday, July 22nd, 2011

Tony Prescott


=** WEEK 2 **= Monday, July 25th, 2011 // Architecture, Constraints, Behavior and Your Brain (and Zombies) //

John Doyle
Please see the "@Doylelicious Thoughts of the Day" page for further details.

Tuesday, July 26th, 2011

Jin Hyung Lee


Wednesday, July 27th, 2011

Partha Mitra
Thursday, July 28th, 2011

Mark Goldman


Friday, July 29th, 2011

Richard Murray

 * Fuller, S. B (2011). Visual Autocorrelators and Antenna-mediated Airspeed Feedback in the Control of Flight Dynamics in Fruit Flies and Robotics. PhD Dissertation, California Institute of Technology (journal submission pending; send e-mail to Richard for a copy of thesis).
 * Han, S., Censi, A., Straw, A. D., & Murray, R. M. (2010). [|A bootstrappable bio-plausible design for visual pose stabilization]. In //International Conference on Robotics and Automation (ICRA)//.
 * Humbert, J. S., Murray, R. M., & Dickinson, M. H. (2005). [|Sensorimotor Convergence in Visual Navigation and Flight Control Systems]. In //IFAC World Congress//.

Pascal Grange


=2. Technical Papers=

=3. General Papers= "What goes wrong when we age"



=4. Control theory references=
 * [|Feedback Systems: An Introduction for Scientists and Engineers], Astrom and Murray, Princeton University Press, 2008 (PDF of entire book available via web site). This book is an introductory text used at the senior undergraduate/first year graduate student level. Contains examples from many areas of science and engineering.
 * [|Feedback for physicists: A tutorial essay on control], //Review of Modern Physics//, 77:783, 2005. Tutorial essay intended for physicists.
 * [|Feedback Control Theory], J. C. Doyle, B. Francis, A. Tannenbaum, MacMillan, 1992 (PDF). Introductory graduate level text describing the key elements of robust control theory.
 * [|A Mathematical Approach to Classical Control], A. D. Lewis, 2003 (PDF of notes available via web site). This set of course notes contains very detailed derivations of results from classical control theory.

=5. More papers....= [|Martin2011arXiv.pdf] (a general paper: a survey article on SVDs and generalizations) [|Porter2009NoticesAMS.pdf] (a general paper: a survey article on community structure in networks)