Statistics Seminar Schedule

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Statistics Seminar Schedule

Fall 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.

Time Place Presenter Title

Sept 2, 2:00 Meyer 1024 Jon Pillow Examining the neural code with a parametric model of neural response

Sept 12, 2:00 Meyer 1024 Alan Stocker (NOTE SPECIAL DAY) Probing human visual motion perception - an optimal estimate of speed?

Sept 15, 2:00 Meyer 1024 Dan Butts (Harvard) (NOTE SPECIAL DAY) A Quick Information Calculation Based On Linear Estimates of Visual Neurons

Sept 23, 2:00 Meyer 1024 Kukjin Kang Information Tuning of a Population of Neurons in Primary Visual Cortex

Oct 7, 2:00 Meyer 1024 Liam Paninski Inferring beliefs from Bayes-optimal behavior

Oct 14, 2:00 Meyer 1024 Patrik Hoyer A few things I've learned about Markov Random Fields for image modeling

Oct 21, 2:00 Meyer 1024 Liam Paninski Maximum likelihood estimation of cascade point-process neural models

Nov 24, 2:00 Meyer 815 Bruno Olshausen, UCDavis (NOTE SPECIAL DAY AND ROOM) Principles of image representation in visual cortex

Nov 25, 2:00 Meyer 1024 Ken Harris (Rutgers) Organization of cell assemblies in the hippocampus

Dec 2, 2:00 Meyer 1024 Zhou Wang Blur Perception and Local Phase Statistics of Natural Images

Dec 16, 2:00 Meyer 1024 Tim Saint Fun with: ICA, divisive normalization, color in V1, and the efficient coding hypothesis.

Dec 17, 2:00 Meyer 1024 Asohan Amarasingham (Brown) (NOTE SPECIAL DAY) Statistical methods for assessing temporal structure in the activity of the nervous system

Dec 17, 2:00 Meyer 1024 Peggy Series, U. Rochester (NOTE SPECIAL DAY) Statistical Efficiency of Orientation Selectivity Models.

Summer 2003 schedule
Spring 2003 schedule
Summer 2002 schedule
Spring 2002 schedule
Fall 2001 schedule
Summer 2001 schedule
2001 schedule Spring

Site maintained by liam@cns.nyu.edu

Time	Place	Presenter	Title
Sept 2, 2:00	Meyer 1024	Jon Pillow	Examining the neural code with a parametric model of neural response
Sept 12, 2:00	Meyer 1024	Alan Stocker	(NOTE SPECIAL DAY) Probing human visual motion perception - an optimal estimate of speed?
Sept 15, 2:00	Meyer 1024	Dan Butts (Harvard)	(NOTE SPECIAL DAY) A Quick Information Calculation Based On Linear Estimates of Visual Neurons
Sept 23, 2:00	Meyer 1024	Kukjin Kang	Information Tuning of a Population of Neurons in Primary Visual Cortex
Oct 7, 2:00	Meyer 1024	Liam Paninski	Inferring beliefs from Bayes-optimal behavior
Oct 14, 2:00	Meyer 1024	Patrik Hoyer	A few things I've learned about Markov Random Fields for image modeling
Oct 21, 2:00	Meyer 1024	Liam Paninski	Maximum likelihood estimation of cascade point-process neural models
Nov 24, 2:00	Meyer 815	Bruno Olshausen, UCDavis	(NOTE SPECIAL DAY AND ROOM) Principles of image representation in visual cortex
Nov 25, 2:00	Meyer 1024	Ken Harris (Rutgers)	Organization of cell assemblies in the hippocampus
Dec 2, 2:00	Meyer 1024	Zhou Wang	Blur Perception and Local Phase Statistics of Natural Images
Dec 16, 2:00	Meyer 1024	Tim Saint	Fun with: ICA, divisive normalization, color in V1, and the efficient coding hypothesis.
Dec 17, 2:00	Meyer 1024	Asohan Amarasingham (Brown)	(NOTE SPECIAL DAY) Statistical methods for assessing temporal structure in the activity of the nervous system
Dec 17, 2:00	Meyer 1024	Peggy Series, U. Rochester	(NOTE SPECIAL DAY) Statistical Efficiency of Orientation Selectivity Models.