Project Details
Cellular, connectional and molecular heterogeneity in a large-scale computational model of the human cerebral cortex
Applicants
Dr. Sacha Jennifer van Albada; Dr.-Ing. Timo Dickscheid; Professor Dr. Claus Christian Hilgetag, since 1/2022
Subject Area
Experimental and Theoretical Network Neuroscience
Cognitive, Systems and Behavioural Neurobiology
Cognitive, Systems and Behavioural Neurobiology
Term
since 2017
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 347572269
Recent endeavors in the field of big data neuroscience have started to provide detailed datasets on multiple dimensions of the human cerebral cortex, including the cytoarchitectonic, connectional and molecular dimensions. This increased volume of multimodal data poses the challenge of harnessing the corresponding complexity. To this end, approaches that aim at distilling key organizational principles of the cerebral cortex and uncovering the molecular, connectional and cytoarchitectonic underpinnings of key neurophysiological phenomena are imperative for transitioning from observations to principles. Here, we will overcome the aforementioned challenges by i) extracting comprehensive cytoarchitectonic features of the human cortex from large-scale, high-resolution architecture data with novel methods, ii) distilling organizational principles linking connectional and cyto- and receptor architecture and iii) employing these principles to enrich a large-scale model of the human cortex, thus uncovering the significance of heterogeneity at the cytoarchitectonic, receptor architectonic and connectional levels for the generation of key neurophysiological phenomena, such as the hierarchy of intrinsic heterogeneous cortical timescales.
DFG Programme
Priority Programmes
Subproject of
SPP 2041:
Computational Connectomics
Co-Investigators
Dr. Rembrandt Bakker; Dr. Sebastian Bludau; Professor Dr. Markus Diesmann
Ehemaliger Antragsteller
Alexandros Goulas, Ph.D., until 12/2021