3 citations · 9 across the 18 of their papers we have counts for
8 papers · 1 filter
Spiking Neural Networks as a Controller for Emergent Swarm Agents
Kevin Zhu, Connor Mattson, Shay Snyder +4
Drones which can swarm and loiter in a certain area cost hundreds of dollars, but mosquitos can do the same and are essentially worthless. To control swarms of low-cost robots, res…
Retina-Inspired Object Motion Segmentation for Event-Cameras
Victoria Clerico, Shay Snyder, Arya Lohia +4
Event-cameras have emerged as a revolutionary technology with a high temporal resolution that far surpasses standard active pixel cameras. This technology draws biological inspirat…
Brain Inspired Probabilistic Occupancy Grid Mapping with Vector Symbolic Architectures
Shay Snyder, Andrew Capodieci, David Gorsich +1
Real-time robotic systems require advanced perception, computation, and action capability. However, the main bottleneck in current autonomous systems is the trade-off between compu…
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
Jason Sinaga, Victoria Clerico, Md Abdullah-Al Kaiser +5
Recent advances in retinal neuroscience have fueled various hardware and algorithmic efforts to develop retina-inspired solutions for computer vision tasks. In this work, we focus…
Exploration of Novel Neuromorphic Methodologies for Materials Applications
Derek Gobin, Shay Snyder, Guojing Cong +3
Many of today's most interesting questions involve understanding and interpreting complex relationships within graph-based structures. For instance, in materials science, predictin…
Parallelized Multi-Agent Bayesian Optimization in Lava
Shay Snyder, Derek Gobin, Victoria Clerico +2
In parallel with the continuously increasing parameter space dimensionality, search and optimization algorithms should support distributed parameter evaluations to reduce cumulativ…
Asynchronous Neuromorphic Optimization with Lava
Shay Snyder, Sumedh R. Risbud, Maryam Parsa
Performing optimization with event-based asynchronous neuromorphic systems presents significant challenges. Intel's neuromorphic computing framework, Lava, offers an abstract appli…
Transductive Spiking Graph Neural Networks for Loihi
Shay Snyder, Victoria Clerico, Guojing Cong +4
Graph neural networks have emerged as a specialized branch of deep learning, designed to address problems where pairwise relations between objects are crucial. Recent advancements…