New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics.
Frontiers Comput. Neurosci., February, 2023
Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks.
J. Comput. Neurosci., 2023
Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics.
SIAM J. Appl. Dyn. Syst., 2021
Neural network learning of improved compressive sensing sampling and receptive field structure.
Neurocomputing, 2021
Network structure and input integration in competing firing rate models for decision-making.
J. Comput. Neurosci., 2019
Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics.
Neurocomputing, 2016
Sparsity and Compressed Coding in Sensory Systems.
PLoS Comput. Biol., 2014
Dynamics of the exponential integrate-and-fire model with slow currents and adaptation.
J. Comput. Neurosci., 2014