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Statistics Seminar Schedule

Spring 2003

This is a seminar on statistical methods for modeling and data analysis in neuroscience. We'll try to meet roughly weekly this semester, in the Simoncelli conference room, room 1024 Meyer, on Tuesdays at 2:00. Presentations of journal papers or of your own work are equally welcome; see the NIPS page for a few sample paper ideas.

Time Place Presenter Title
Jan 21, 2:00 Meyer 1024 Patrik Hoyer Interpreting neural response variability as Monte Carlo sampling of the posterior
Jan 28, 2:00 Meyer 1024 Zhou Wang Image Quality Assessment: From Error Measurement to Structural Similarity
Feb 4, 2:00 Meyer 1024 Jonathan Pillow Estimating the parameters of an integrate and fire neuron from random data
Feb 11 break
Feb 18, 2:00 Meyer 1024 Nicole Rust POSTPONED due to snow
Feb 25, 2:00 Meyer 1024 Nicole Rust Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1
Mar 4, 2:00 Meyer 1024 David Hammond State switching in a simple bistable neural network model
Mar 11, 2:00 Meyer 1024 Elad Schneidman Universality and Individuality in a Neural Code
Mar 18, 2:00 Meyer 1024 Christian Machens Finding the optimal stimulus ensemble online by information maximization
Mar 25, 2:00 Meyer 1024 Rudolf Mester Statistical approaches to local motion estimation
Apr 1, 2:00 break
Apr 8, 2:00 Meyer 1024 Valeria del Prete A non-equilibrium statistical mechanics approach to the population dynamics of spiking neurons
Apr 15, 2:00 Meyer 1024 Ila Fiete Reinforcement Learning of Birdsong in a Spiking Neural Network Model
Special time: Apr 25, 11:00 Meyer 1024 Tony Bell Dependent Component Analysis - problems and some solutions
Apr 29, 2:00 Meyer 1024 Liam Paninski Some recent results on the neural coding problem
May 6, 2:00 break
May 13, 2:00 Meyer 1024 Eero Simoncelli Thoughts on natural image statistics
May 20, 2:00 Meyer 1024 Mike Landy Blackshot: An Unexpected Dimension of Human Sensitivity to Contrast
May 27, 2:00 Meyer 1024 Roberto Valerio A nonlinear image representation based on the divisive normalization with statistically independent features


Summer 2002 schedule
Spring 2002 schedule
Fall 2001 schedule
Summer 2001 schedule
Spring 2001 schedule

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