Phase Locking in the Presence of Biological Noise

 CNS*2010 workshop

July 30, 2010, San Antonio, Texas, USA


Carmen Canavier (, Louisiana State University Health Sciences Center, New Orleans

Leonid Rubchinsky (, Indiana University Purdue University Indianapolis and Indiana University School of Medicine



Two or more oscillators can temporally coordinate their activity via common inputs or coupling. If these oscillators are biological neurons or modules comprised of multiple biological neurons, the presence of noise is inevitable. In the presence of noise, it is not obvious whether oscillators have a consistent phasic relationship, or phase locking. At a minimum, circular statistics are required to determine whether there is a preferred phase difference. Phase slips or other phase dynamics may episodically or persistently interrupt periods of temporal coordination, thus the existence of a phase locking in the presence of noise is not trivial to ascertain as it is in its absence. Ghosts of attractors that are nearby in parameter space may also influence the dynamics. We will discuss approaches to detection of phase locking in noisy experimental data, and the implications of such a locking for information processing under normal and abnormal conditions in the nervous system.


Venue/Travel/Registration etc.

Please browse the web site of the Nineteenth Annual Computational Neuroscience Meeting CNS*2010 for the details





9:00am Introduction

9:10am Elena Phoka (Imperial College London)

Calculation of Phase Response Curves in the Presence of Biological Noise

9:45am Theoden Netoff (University of Minnesota)

How does the variance of the PRC depend on the shape of the PRC

10:20am Sashi Marella (University of Pittsburg)

How the shape of the PRC determines the degree of stochastic synchronization


10:55am - 11:10am break


11:10am Christian Leibold (Ludwig Maximilians University)

How well do weakly coupled neurons lock -- and what if they don't

11: 45am Tim Lewis (University of California, Davis)

Voltage-gating of gap junction conductance and its effects on phase locking in noisy neural networks

CANCELLED Peter Tass (Institute of Neuroscience and Medicine - Neuromodulation, Research Center Julich)

Unlearning pathological neuronal synchronization by desynchronzing brain stimulation

12:20pm Daniel Polhamus (University of Texas, San Antonio)

Truncated distributions in noisy PRC estimation

12:40am John White (University of Utah)

Synchronization with delays


1:00pm -2:15pm break


2:15pm Leonid Rubchinsky (Indiana University Purdue University Indianapolis and Indiana University School of Medicine)

Analysis of the fine temporal structure of synchronization of neural oscillations. Examples from parkinsonian basal ganglia.

2:50pm Fred Sieling (Emory University)

Predicting phase-locking in a hybrid network of two neurons with a phase-dependent noise term

3:25pm Carmen Canavier (Louisiana State University Health Sciences Center)

Maps based on the phase resetting curve explain spike statistics of coupled neural oscillators observed in the presence of noise

4:00pm - 4:15pm discussion