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Found 4 papers, 1 papers with code
Topology-dependent coalescence controls scaling exponents in finite networks
Here we show that distinct empirical exponents arise in networks with different topology and depend on the network size.
Spatial and temporal correlations in neural networks with structured connectivity
We show that the network dynamics and connectivity jointly define the spatiotemporal profile of neural correlations.
Neural Circuit Architectural Priors for Embodied Control
In this work, we ask what advantages biologically inspired ANN architecture can provide in the domain of motor control.
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
Here we present a non-parametric framework for inferring the Langevin equation, which explicitly models the stochastic observation process and non-stationary latent dynamics.
