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Topic: covariance spectrum

Seminar
1 seminar

In Applied Mathematics and Computational Neuroscience

Seminar · Computational Neuroscience

How random connections and motifs shape the covariance spectrum of recurrent network dynamics

Yu Hu · Hong Kong University of Science and Technology

Wed, May 22, 2024 · 15:00 UTC

Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linear