TCN

Topics in Computational Neuroscience

Summer 2010

• [September 23] Bullier, Jean. "What is Fed Back?" in 23 Problems in Systems Neuroscience. [1]
• [June 10]
  • Jarzynski, Nonequilibrium work relations: foundations and applications. [2]
  • Crooks, Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systems. [3]
  • Crooks, Beyond Boltzmann-Gibbs statistics: Maximum entropy hyperensembles out of equilibrium [4]

• [May 20] Truccolo et al., Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes [5]

Spring 2010

• [May 13] A review of active learning (no paper).

• [Apr 29] Ranzato and Hinton, Modeling Pixel Means and Covariances Using Factorized Third-Order Boltzmann Machines [6]

• [Apr 22] Boureau et al., Learning Mid-Level Features For Recognition [7]

• [Apr 15] Neghaban et al., A unified framework for the analysis of regularized $M$-estimators.[8]

• [Apr 6] Lucke et al., Occlusive components analysis. [9]

• [Mar 25] Bießmann et al., Decision-related activity in sensory neurons reflects more than a neuron's causal effect.[10]

• [Mar 18] Itskov and Abbott, Pattern Capacity of a Perceptron for Sparse Discrimination. [11]

• [Mar 11] Nienborg and Cumming, Decision-related activity in sensory neurons reflects more than a neuron's causal effect.[12]

• [Feb 18] Masse et al., Olfactory Information Processing in Drosophila. [13]

• [Feb 11] Yaghoobi et al., Dictionary Learning for Sparse Approximations with the Majorization Method. [14]

• [Feb 4] Ecker et al., Decorrelated Neuronal Firing in Cortical Microcircuits. [15]
• [Feb 4] Renart et al., The Asynchronous State in Cortical Circuits. [16]

• [Jan 28] Recht et al., Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. [17]

Fall 2009

• [Dec 3] Kolgin et al., Frequency of gamma oscillations routes flow of information in the hippocampus. [18]

• [Nov 17] Graham, Chandler, Field. Can the theory of ‘‘whitening’’ explain the center-surround properties of retinal ganglion cell receptive fields? [19]

• [Nov 12] Lighthill and AI community debate, 1973. [20]

• [Oct 29, Nov 5] George, Hawkins, Towards a Mathematical Theory of Cortical Micro-circuits. [21]

• [Oct 22]: Berkes et al., A Structured Model of Video Reproduces Primary Visual Cortical Organisation.[22]

• [Oct 15]: Petreanu et al., The subcellular organization of neocortical excitatory connections. [23]

• [Oct 15]: Arenz et al. The contribution of single synapses to sensory representation in vivo. [24]

• [Oct 1,8]: Kobilarov et al., Lie Group Integrators for Animation and Control of Vehicles.[25]

Time and Location

1:10-2:00pm usually every Thursday in the Redwood Center (508-20 Evans).

Overview

This journal club is aimed at graduate students from the neuroscience program, neuroscience related life sciences, as well as students from engineering, physics, and math programs with an interest in a computational approach to studying the brain. It provides a broad survey of literature from theoretical and computational neuroscience. Readings will combine both seminal works and recent theories. We meet for one session each week.

It is possible to take this seminar for credit. If you would like to do so, please mention during journal club.

You can also contact the club organizer at [26].

E-mail List

To subscribe to the journal club email list, visit link. You will receive emails about twice a week about papers that will be covered in the next meeting.

Guidelines for Presenting Papers

Each person that selects a paper should present, in about 15-30 minutes:

• an executive summary
• an outline of the key points, ideas, or contributions
• relevant background information
• a description of the key figures
• what you took away from the paper
• some potential questions for discussion
• you are encouraged to use whatever method to present (slides, puppets, etc.)