3 papers
q-bio.NC2026
Balancing structure and randomness: maximum entropy networks for context-dependent computations
Ludwig Hruza, Srdjan Ostojic
Understanding how network function constrains neural connectivity is a central challenge in neuroscience. An influential approach is to train neural networks with gradient descent…
q-bio.NC2025
Shaping manifolds in equivariant recurrent neural networks
Arianna Di Bernardo, Adrian Valente, Francesca Mastrogiuseppe +1
Recordings of increasingly large neural populations have revealed that the firing of individual neurons is highly coordinated. When viewed in the space of all possible patterns, th…
q-bio.NC2025
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks
Yuxiu Shao, David Dahmen, Stefano Recanatesi +2
Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that…