12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.NE2020★ 12 cited
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation
Pavel Tolmachev, Jonathan H. Manton
Hopfield neural networks are a possible basis for modelling associative memory in living organisms. After summarising previous studies in the field, we take a new look at learning…
q-bio.NC2018
Modeling the respiratory Central Pattern Generator with resonate-and-fire Izhikevich-Neurons
Pavel Tolmachev, Rishi R. Dhingra, Michael Pauley +2
Computational models of the respiratory central pattern generator (rCPG) are usually based on biologically-plausible Hodgkin Huxley neuron models. Such models require numerous para…