New approaches to spike train analysis and neuronal coding
Twentieth Annual Computational Neuroscience Meeting CNS*2011
July 23-26, 2011 in Stockholm, Sweden
July 27 / 28, 2011 (This workshop: July 27)
A myriad of putative properties have been proposed for the spiking responses of neuronal populations. However, spike train properties like sparseness, temporal coding, synchrony and population coding are easier to describe intuitively than to match to quantitative definitions that can be applied to experimental data. As a consequence, it may be that some of the important questions being posed about neuronal coding are difficult to answer precisely because they are difficult to phrase in an answerable way. The purpose of this workshop is to discuss how different approaches, such as measures of spike train (dis)similarity and methods from information theory, can be used to define quantitative properties of neuronal signalling, properties which could be used to analysis the large quantities of experimental data now available in a way that would help explain neuronal coding. Contributions will include both experimental and theoretical studies, data analysis as well as modelling.
The workshop consisted of four sessions of one and an half hour each.
These included five presentations by invited speakers (35 + 5 min each).
In addition, five slots for contributed talks (20 + 5 min) were assigned.
At the end ample time for discussion was provided.
Our workshop was coordinated with three complementary workshops:
(Organizer: Dan Gardner)
(Organizers: Aurel A. Lazar and Mikko I. Juusola)
(Organizers: Alex G. Dimitrov and Aurel A. Lazar)
Department of Mathematics
Dublin 2, Ireland
Institute for Complex Systems (ISC)
National Research Council (CNR)