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Stefan Mihalas

3 papers in the library · 261 citations · publishing 2014-2024

Papers

Large-scale topology and the default mode network in the mouse connectome

Proceedings of the National Academy of Sciences December 15, 2014 James M. Stafford, Benjamin R. Jarrett, Oscar Miranda Dominguez et al. 261 citations

Resting-state functional connectivity MRI (rs-fcMRI) can be reliably performed in mice, producing high-resolution whole-brain images. The functional connections strongly align with the brain's structural wiring, as mapped by anterograde tracer studies. Large-scale network properties previously seen only in primates also exist in rodents, though with some differences. A potential default mode network (DMN)—a system important for social cognition and disrupted in many disorders—was identified in the mouse brain both structurally and functionally. These findings validate mouse rs-fcMRI as a translational bridge, allowing stronger links between cellular and molecular manipulations in mice and human brain conditions.

Transition to chaos separates learning regimes and relates to measure of consciousness in recurrent neural networks

bioRxiv Preprint Server May 15, 2024 Dana Mastrovito, Yuhan Helena Liu, Lukasz Kusmierz et al. preprint

The critical coupling strength that separates chaotic from ordered dynamics in recurrent neural networks also differentiates two learning strategies: networks initialized with low coupling learn rich representations, while those with larger variance learn lazier solutions. Training moves both stable and chaotic networks closer to the edge of chaos. Biologically realistic connectivity fosters stability across a wide range of variances. The transition to chaos is reflected in the perturbational complexity index (PCIst), a measure that clinically discriminates levels of consciousness. Networks with high PCIst exhibit stable dynamics and rich learning, suggesting a consciousness prior may promote rich learning. The results indicate a relationship between critical dynamics, learning regimes, and complexity-based measures of consciousness.

Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network

Neuron December 1, 2020 Jennifer D. Whitesell, Adam Liska, L. Coletta et al.

The default mode network (DMN) is a set of brain regions active at rest and vulnerable to brain disorders, but how disease affects it remains unknown. By co-registering functional MRI and axonal tracing data into the Allen mouse brain atlas, the authors show that the mouse DMN consists of preferentially interconnected cortical regions. Layer 2/3 neurons within the DMN project almost exclusively to other DMN regions, whereas layer 5 neurons project both in and out of the DMN. In the retrosplenial cortex, two layer 5 projection types were identified, distinguished by their targets, laminar position, and gene expression. These findings provide a multi-scale description of the mouse DMN's anatomical connectivity.