309 citations · 2.1k across the 37 of their papers we have counts for
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q-bio.NC2022★ 2 cited
Effect in the spectra of eigenvalues and dynamics of RNNs trained with Excitatory-Inhibitory constraint
Cecilia Jarne, Mariano Caruso
In order to comprehend and enhance models that describes various brain regions is important to study the dynamics of trained recurrent neural networks. Including Dales law in such…
q-bio.NC2020★ 4 cited
Different eigenvalue distributions encode the same temporal tasks in recurrent neural networks
Cecilia Jarne
Different brain areas, such as the cortex and, more specifically, the prefrontal cortex, show great recurrence in their connections, even in early sensory areas. {Several approache…
q-bio.NC2019
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks
Cecilia Jarne, Rodrigo Laje
Recurrent Neural Networks (RNNs) are frequently used to model aspects of brain function and structure. In this work, we trained small fully-connected RNNs to perform temporal and f…