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A Journey Through Modern Cosmology: From Massive Simulations to AI Scientists

Paco Villaescusa · Center for Computational Astrophysics, Flatiron Institute

…including nonlinear scales and higher-order statistics, and introduces the Quijote and Backlight simulation programmes. It then addresses the uncertain astrophysical processes that complicate small-scale inference through CAMELS, a framework combining cosmology, galaxy formation and machine learning. DREAMS is presented as a route to predicting dark-matter obs

Fri, Sep 25, 2026 · 19:00 UTC

Seminar · Cosmology

Two opposing forces in inhibitory spike-timing-dependent plasticity differentially regulate network connectivity

Dylan Festa, Claudia Cusseddu, Julijana Gjorgjieva · Bernstein Conference 2024

Inhibitory neurons (I), akin to their excitatory (E) counterparts, adjust synaptic efficacies in response to neural activity. Contrary to the traditional view of inhibition as a purely global activity modulator, recent studies highlighted the importance of specificity in (E/I) wiring and motif structures. These motifs, encompassing mutual and lateral inhibition, take essential functional roles in tuning of receptive fields, learning of representations, predictive coding, and in the regulation of the degrees of freedom of the network’s dynamics (i.e. the network dimensionality). Despite numero

ePoster · Computational Neuroscience