Interrogating the ties that bind: Relationship between multi-level network connectivity and neural dynamics
David Dahmen | Forschungszentrum Jülich, Germany
Yuxiu Shao | Ecole Normale Supérieure, Paris, France
Yue Kris Wu | Technical University of Munich, Germany
There is a growing consensus that including experimentally identified connectivity constraints in computational models of neuronal networks is imperative to understand how brain computations are performed through emergent neural dynamics. However, how network connectivity, both at the microscopic level between individual neurons and at the macroscopic level between different cell types, shapes neural dynamics and is shaped by neural dynamics via activity-dependent plasticity mechanisms remains largely elusive. This workshop aims to bring together experts from experimental as well as theoretical neuroscience to discuss and address the following key aspects of network connectivity, dynamics and computation: 1. Recent advancements in quantifying microscopic motifs and macroscopic structure in neural circuits. 2. Impact of microscopic motifs and macroscopic structure on neural dynamics and computation. 3. Impact of synaptic plasticity mechanisms on microscopic and macroscopic circuit structure. As understanding how network connectivity at different levels affect neural dynamics and computation is crucial in neuroscience, we hope for a lively discussion at this workshop that will be of broad interest to both experimentalists and theorists.