Network origins of the brain’s synergistic informational architecture

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• Andrea Luppi, University of Cambridge
• Friday 10 May 2024, 14:00-15:00
• CUED Baker Building - CLIC 1 Meeting Rm.

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How does the organization of neural information processing enable humans’ sophisticated cognition? Here we decompose functional interactions between brain regions into synergistic and redundant components, revealing their distinct information-processing roles. Combining functional and structural neuroimaging with meta-analytic results, we demonstrate that redundant interactions are predominantly associated with structurally coupled, modular sensorimotor processing. Synergistic interactions instead support integrative processes and complex cognition across higher-order brain networks. The human brain leverages synergistic information to a greater extent than nonhuman primates, with high-synergy association cortices exhibiting the highest degree of evolutionary cortical expansion. Synaptic density mapping from positron emission tomography and convergent molecular and metabolic evidence demonstrate that synergistic interactions are supported by receptor diversity and human-accelerated genes underpinning synaptic function. This information-resolved approach provides analytic tools to disentangle information integration from coupling, enabling richer, more accurate interpretations of functional connectivity, and illuminating how the human neurocognitive architecture navigates the trade-off between robustness and integration.

Pre-reading:

1. Luppi et al 2022 Nature Neuroscience

2. Mediano, Rosas et al 2021 arXiv

This talk is part of the Signal Processing and Communications Lab Reading Group series.

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• CUED Baker Building - CLIC 1 Meeting Rm
• Signal Processing and Communications Lab Reading Group

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