7 citations · 14 across the 3 of their papers we have counts for
3 papers
q-bio.NC2018★ 2 cited
Local learning rules to attenuate forgetting in neural networks
Michael Deistler, Martino Sorbaro, Michael E. Rule +1
Hebbian synaptic plasticity inevitably leads to interference and forgetting when different, overlapping memory patterns are sequentially stored in the same network. Recent work on…
q-bio.NC2018★ 7 cited
Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations
M. E. Rule, G. Sanguinetti
Modeling and interpreting spike train data is a task of central importance in computational neuroscience, with significant translational implications. Two popular classes of data-d…
q-bio.NC2018★ 5 cited
Optimal encoding in stochastic latent-variable Models
M. E. Rule, M. Sorbaro, M. H. Hennig
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can b…