6 papers
Determinants of hyperparameter robustness in connectome reservoir computing
Miles Walter Churchland, Raul de Palma Aristides, Jordi Garcia-Ojalvo +3
Reservoir computing provides a controlled setting for studying how recurrent network architectureshapes computation: input signals are projected into a high-dimensional state space…
Reinforcement learning in densely recurrent biological networks
Miles Walter Churchland, Jordi Garcia-Ojalvo
Training highly recurrent networks in continuous action spaces is a technical challenge: gradient-based methods suffer from exploding or vanishing gradients, while purely evolution…
Structural determinants of soft memory in recurrent biological networks
Maria Sol Vidal-Saez, Jordi Garcia-Ojalvo
Recurrent neural networks are frequently studied in terms of their information-processing capabilities. The structural properties of these networks are seldom considered, beyond th…
From chimeras to extensive chaos in networks of heterogeneous Kuramoto oscillator populations
Pol Floriach, Jordi Garcia-Ojalvo, Pau Clusella
Populations of coupled oscillators can exhibit a wide range of complex dynamical behavior, from complete synchronization to chimera and chaotic states. We can thus expect complex d…
Biological computation through recurrence
Maria Sol Vidal-Saez, Oscar Vilarroya, Jordi Garcia-Ojalvo
One of the defining features of living systems is their adaptability to changing environmental conditions. This requires organisms to extract temporal and spatial features of their…
A multiscale sensorimotor model of experience-dependent behavior in a minimal organism
Maria Sol Vidal-Saez, Oscar Vilarroya, Jordi Garcia-Ojalvo
To survive in ever-changing environments, living organisms need to continuously combine the ongoing external inputs they receive, representing present conditions, with their dynami…