Organizers: Brian Lundstrom, Mayo Clinic, Rochester, Minnesota, USA, Christian Meisel, Charité–Universitätsmedizin Berlin
Program:
9:00-9:20 Timescales of neural computation – Anna Levina, Univ Tuebingen 9:20-9:40 Multiscale recordings, neural excitability and epilepsy – Michael Wenzel, Univ Bonn 9:40-10:00 Estimating patient-specific spatiotemporal scales for brain state transitions – Andre Peterson, Univ Melbourne 10:00-10:20 Discussion 10:20-10:50 Break 10:50-11:10 Gain control, adaptation, and fractional dynamics – Brian Lundstrom, Mayo Clinic 11:10-11:30 Power laws in spiking data: why so many? – Audrey Sederberg, University of Minnesota 11:30-11:50 Network stability and fractional dynamics – Tom Richner, Mayo Clinic 11:50-12:10 Spatial and temporal correlations in human cortex – Christian Meisel, Charité–Universitätsmedizin Berlin 12:10-12:30 Discussion
Description:
Understanding multiscale behavior of the nervous system is a primary challenge of 21st century neuroscience. Neuroscience has often focused on single space and time scales. However, data suggest neural activity often exhibits multiscale and scale-free spatial and temporal patterns, indicating the importance of a broad range of scales. In addition, large datasets across space and time are a challenge for traditional approaches that focus on single scales. New frameworks for understanding these data are needed.
Dynamical and statistical approaches that incorporate multiple spatial scales and timescales are critical to understand efficient coding, predict responses, and maintain network stability. Understanding how properties at the single neuron or small circuit level affect whole brain dynamics and responses is also of broad appeal. We aim to bring together experimentalists and theoreticians who study multiscale neural computation, including power-law statistics, brain state transitions, criticality, and fractional order dynamics. This session will provide novel frameworks for integrating multiple spatial and temporal scales.
