Dynamic effective connectivity of inter-areal brain circuits
Demian Battaglia, Annette Witt, Fred Wolf, Theo Geisel

TL;DR
This paper demonstrates that dynamic effective connectivity in brain circuits arises from transitions in neural activity organization, enabling flexible information routing and synchronization based on brain rhythms and states.
Contribution
It introduces a novel framework linking neural dynamics to effective connectivity, showing how state-dependent changes in connectivity facilitate flexible brain communication.
Findings
Different dynamical states correspond to distinct effective connectivity motifs.
Effective connectivity can show dominant directionality despite reciprocal structural links.
Changes in effective connectivity regulate information transfer efficiency and directionality.
Abstract
Anatomic connections between brain areas affect information flow between neuronal circuits and the synchronization of neuronal activity. However, such structural connectivity does not coincide with effective connectivity, related to the more elusive question "Which areas cause the present activity of which others?". Effective connectivity is directed and depends flexibly on contexts and tasks. Here we show that a dynamic effective connectivity can emerge from transitions in the collective organization of coherent neural activity. Integrating simulation and semi-analytic approaches, we study mesoscale network motifs of interacting cortical areas, modeled as large random networks of spiking neurons or as simple rate units. Through a causal analysis of time-series of model neural activity, we show that different dynamical states generated by a same structural connectivity motif correspond…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
