59 citations · 95 across the 4 of their papers we have counts for
4 papers
L4-Norm Weight Adjustments for Converted Spiking Neural Networks
Jason Allred, Kaushik Roy
Spiking Neural Networks (SNNs) are being explored for their potential energy efficiency benefits due to sparse, event-driven computation. Non-spiking artificial neural networks are…
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation
Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan +1
Spiking Neural Networks (SNNs) are being explored for their potential energy efficiency resulting from sparse, event-driven computations. Many recent works have demonstrated effect…
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Jason M. Allred, Kaushik Roy
Stochastic gradient descent requires that training samples be drawn from a uniformly random distribution of the data. For a deployed system that must learn online from an uncontrol…
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan +1
A fundamental feature of learning in animals is the "ability to forget" that allows an organism to perceive, model and make decisions from disparate streams of information and adap…