3 papers
q-bio.NC2026
Empirical scaling laws in balanced networks with conductance-based synapses
Vicky Zhu, Gabriel Ocker, Robert Rosenbaum
Strongly coupled, recurrent, balanced network models have been successful in describing and predicting many phenomena observed in cortical neural recordings. However, most balanced…
q-bio.NC2023
Learning fixed points of recurrent neural networks by reparameterizing the network model
Vicky Zhu, Robert Rosenbaum
In computational neuroscience, fixed points of recurrent neural networks are commonly used to model neural responses to static or slowly changing stimuli. These applications raise…
q-bio.NC2022
Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks
Vicky Zhu, Robert Rosenbaum
The brain is believed to operate in part by making predictions about sensory stimuli and encoding deviations from these predictions in the activity of "prediction error neurons." T…