Date: Monday, January 27, 2003
Time: 4:30 pm - 5:30 pm
Location: Hayes-Healy Hall, Room Number 117

Speaker: Duane Nykamp

From: University of California, Los Angeles

Host: Mark S. Alber (Mathematics)

Title: Reconstructing the Coupling of Neurons from Spike Times

Abstract:
Reconstructing the connectivity patterns of neural networks in higher organisms has been a formidable challenge. Most neurophysiology data consist only of spike times, and current analysis methods are unable to resolve the ambiguity in connectivity patterns that could lead to such data. I present a new method that can determine the presence of a connection between two neurons from the spike times of the neurons in response to spatiotemporal white noise. The method successfully distinguishes such a direct connection from common input originating from other, unmeasured neurons. Although the method is based on a highly idealized linear-nonlinear approximation of neural response, simulations demonstrate that the approach can work with a more realistic, integrate-and-fire neuron model. I propose that the approach exemplified by this analysis may yield viable tools for reconstructing neural networks from data gathered in neurophysiology experiments.