309 citations · 2.1k across the 37 of their papers we have counts for
38 papers
Analysing Rescaling, Discretisation, and Linearisation in RNNs for Neural System Modelling
Mariano Caruso, Cecilia Jarne
Recurrent Neural Networks (RNNs) are widely used to model neural activity in Computational Neuroscience. Here, we explore the mathematical foundations of three fundamental procedur…
Recurrent Neural Networks as Electrical Networks, a formalization
Mariano Caruso, Cecilia Jarne
Since the 1980s, and particularly with the Hopfield model, recurrent neural networks or RNN became a topic of great interest. The first works of neural networks consisted of simple…
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…
Exploring Flip Flop memories and beyond: training recurrent neural networks with key insights
Cecilia Jarne
Training neural networks to perform different tasks is relevant across various disciplines. In particular, Recurrent Neural Networks (RNNs) are of great interest in Computational N…
An algorithm to represent inbreeding trees
C. Jarne, F A. Gómez Albarracín, M. Caruso
Recent work has proven the existence of extreme inbreeding in a European ancestry sample taken from the contemporary UK population \cite{nature_01}. This result brings our attentio…
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…