26 citations · 36 across the 4 of their papers we have counts for
4 papers
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
Nicholas Soures, Peter Helfer, Anurag Daram +2
Catastrophic interference, the loss of previously learned information when learning new information, remains a major challenge in machine learning. Since living organisms do not se…
Neural-network simulations of memory consolidation and reconsolidation
Peter Helfer, Thomas R. Shultz
In the mammalian brain newly acquired memories depend on the hippocampus for maintenance and recall, but over time these functions are taken over by the neocortex through a process…
Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking
Peter Helfer, Thomas R. Shultz
In long-term potentiation (LTP), one of the most studied types of neural plasticity, synaptic strength is persistently increased in response to stimulation. Although a number of di…
A Computational Model of Systems Memory Consolidation and Reconsolidation
Peter Helfer, Thomas R. Shultz
In the mammalian brain, newly acquired memories depend on the hippocampus for maintenance and recall, but over time the neocortex takes over these functions, rendering memories hip…