CNS*2023 Leipzig has ended
32nd Annual Computational Neuroscience Meeting
CNS*2023, Leipzig, Germany
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Wednesday, July 19 • 09:00 - 12:30
W12: Multiscale spatial and temporal neural computation

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Brian Lundstrom, Mayo Clinic, Rochester, Minnesota, USA,
Christian Meisel, Charité–Universitätsmedizin Berlin


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


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.

Wednesday July 19, 2023 09:00 - 12:30 CEST