7 citations · 10 across the 4 of their papers we have counts for
4 papers
Sequence Learning and Consolidation on Loihi using On-chip Plasticity
Jack Lindsey, James B Aimone
In this work we develop a model of predictive learning on neuromorphic hardware. Our model uses the on-chip plasticity capabilities of the Loihi chip to remember observed sequences…
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey, Ashok Litwin-Kumar
Interest in biologically inspired alternatives to backpropagation is driven by the desire to both advance connections between deep learning and neuroscience and address backpropaga…
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey, Samuel A. Ocko, Surya Ganguli +1
The visual system is hierarchically organized to process visual information in successive stages. Neural representations vary drastically across the first stages of visual processi…
Pre-training Attention Mechanisms
Jack Lindsey
Recurrent neural networks with differentiable attention mechanisms have had success in generative and classification tasks. We show that the classification performance of such mode…