New Approaches to Characterizing Neural Responses

CoSyNe 2005 Workshop
Mar 22, 2005 - Snowbird, Utah

Organizers: Jonathan Pillow and Nicole Rust
Moderator: Eero Simoncelli (NYU)
Invited Speakers:
Emery Brown (Harvard University)
Alexander Dimitrov (Montana State U.)
Jack Gallant (Berkeley)
Adrienne Fairhall (U. of Washington)
Richard Murray (U. of Pennsylvania)
Liam Paninski (Gatsby Comp Neurosci Unit)
Maneesh Sahani (Gatsby Comp Neurosci Unit)
Frederic Theunissen (Berkeley)

 
Quantitative characterizations of neural responses provide a precise framework for studying the computations performed throughout the nervous system. Recently, a number of sophisticated techniques have been introduced to characterize neural responses. Typically, the goal of these approaches is to develop functional models that describe a neuron mathematically in terms of the transformation it performs on its input. These techniques have also been used to identify receptive field properties and the "stimulus features" to which a neuron responds.

The goal of this workshop is to bring together researchers who are involved in the development and implementation of these techniques to discuss recent innovations in the field, as well as the benefits and drawbacks of these approaches. Topics that will be addressed include:
  • New techniques for recovering receptive fields (e.g. spike-triggered covariance, information maximization, spike manifold characterization, other extensions to Weiner kernel analysis).
  • New classes of stimuli. (e.g. naturalistic, subspace and orthogonal stimulus sets).
  • New model frameworks. (e.g. generalized linear models, multi-dimensional models, models incorporating spike generation, other extensions to the Linear-Nonlinear-Poisson (LNP) model).
  • Validation and interpretation of characterization procedures. Linking functional characterizations to neural coding and biophysics.

 
Schedule
8:00-8:30Jonathan Pillow, "A modeling approach to characterizing multi-neuron responses"
8:30-9:00Adrienne Fairhall, "Studying the biophysics of computation with dimensionality reduction"
9:00-9:30 Coffee break
9:30-10:00Alexander Dimitrov, "Effects of stimulus transformations on the perceived function of sensory neurons"
10:00-10:30 Liam Paninski, "Convex methods for neural encoding and decoding"
 
 
10:30-4:30 Ski!
 
 
4:30-5:00 Jack Gallant, TBA
5:00-5:30 Frederic Theunissen, "Normalization, regularization and pre-processing for auditory receptive fields obtained from responses to natural sounds"
5:30-6:00 Nicole Rust, "Subspace reverse-correlation reveals a role for suppression in the computation of pattern motion direction in MT"
6:00-6:30 Coffee Break
6:30-7:00Richard Murray, "Psychophysical features from noise classification"
7:00-7:30 Emery Brown, TBA



Computational and Systems Neuroscience (CoSyNe) 2005

Revised: 1/15/2005 pillow[at]cns.nyu.edu