Ryan O'Loughlin

Publications

Gradient Descent in Recurrent Neural Networks with Model-Free Multiplexed Gradient Descent: Toward Temporal On-Chip Neuromorphic Learning

June 12, 2025

Author(s)

Ryan O'Loughlin, Nicholas Skuda, Bakhrom Oripov, Sonia Buckley, Adam McCaughan

The brain implements recurrent neural networks (RNNs) efficiently, and modern computing hardware does not. Although specialized neuromorphic hardware is well

Modeling Spiking Neurons without Spikes

August 2, 2024

Author(s)

Jeff Shainline, Bryce Primavera, Ryan O'Loughlin

While spiking neuromorphic hardware holds promise for efficient implementations of artificial intelligence, the impact has been limited due in part to a lack of

Dendritic Learning in Superconducting Optoelectronic Networks - Elastic Weight Collision at Dynamical Boundaries and Intermittent Validation for Early Convergence

August 28, 2023

Author(s)

Ryan O'Loughlin, Bryce Primavera, Jeff Shainline

Superconducting Optoelectronic Networks (SOENs) combine pho- tonics and superconductors to instantiate computing systems that approach the fundamental limits of

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Ryan O'Loughlin (Fed)

Publications