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Topic: Inter-regional communication

ePoster
3 ePosters

In Neuroscience and Computational Neuroscience

ePoster · Neuroscience

The evolution of communication axes in the developing brain

Elizabeth Herbert, Ricardo Chirif Molina, Mattia Chini, Irina Pochinok, Ileana Hanganu-Opatz, Julijana Gjorgjieva · Bernstein Conference 2024

Early postnatal development is a critical period for the establishment of functional brain networks. While extensive research has focused on local circuit maturation, the emergence and evolution of long-range communication between brain regions has received less attention. Here we investigate the developmental trajectory of inter-regional communication in the mouse brain over the first two postnatal weeks of life, a period characterised by rapid synaptogenesis followed by activity-dependent pruning and circuit refinement. We leverage electrophysiological datasets of population activity simulta

ePoster · Neuroscience

Estimating flexible across-area communication with neurally-constrained RNNs

Joao Barbosa, Adrian Valente, Scot Brincat, Earl Miller, Srdjan Ostojic · Bernstein Conference 2024

Previous work investigating the neural dynamics underlying context-dependent decision making typically analyses a single brain region or recurrent neural network (RNN) [1,2]. However, evidence suggests that the information required to solve tasks is distributed across multiple regions [3]. Here, we investigate the neural dynamics across seven brain regions of the non-human primate brain where such distributed information has been observed[3]. By examining within-region geometry and dynamics, we identified significant differences not captured by classical decoding analyses. Using multi-regional

ePoster · Neuroscience

In-vivo dynamical effects of structural white matter disconnections

Riccardo Leone, Steven Geysen, Gustavo Deco, Xenia Kobeleva · Bernstein Conference 2024

White matter (WM) tracts shape the brain’s dynamical activity, and their damage (e.g., disconnections) results in functional alterations and cognitive symptoms [1]. Here, we use neural mass modeling to test the in-vivo effects of WM disconnections [2]. We create models of local versus global, and edge versus nodal effects of WM disconnections in a large fMRI dataset comprising individuals affected by varying degrees of white matter hyperintensities (WMH), in order to estimate the impact of WMH on brain dynamics in a data-driven manner. We use a virtual-lesioning (disconnectome [3]) approach in

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