Statistical Analysis and Modeling of Response Dependencies in Neural Populations (day 1)

It is well known that sensory and motor information is represented in the activity of large populations of neurons. Encoding and decoding this information is a matter of active debate. One way to study population coding is to analyze response dependencies. Rate and temporal coding are opposing theories of neural coding. Dependency concepts for these theories are rate covariance and temporal spike coordination. In the typical theoretical framework, response dependencies are characterized by correlation coefficients and cross-correlograms. The main goal of this workshop is to challenge the dependency concepts that are typically applied and to disseminate more sophisticated concepts to a wider public. It will bring together experts from different fields and encourage exchange of insights between experimentalists and theoreticians.