121 citations · 260 across the 20 of their papers we have counts for
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An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Hyeryung Jang, Osvaldo Simeone, Brian Gardner +1
Spiking Neural Networks (SNNs) are distributed trainable systems whose computing elements, or neurons, are characterized by internal analog dynamics and by digital and sparse synap…
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing
Hyeryung Jang, Osvaldo Simeone
Neuromorphic hardware platforms, such as Intel's Loihi chip, support the implementation of Spiking Neural Networks (SNNs) as an energy-efficient alternative to Artificial Neural Ne…
Simulation-based Distributed Coordination Maximization over Networks
Hyeryung Jang, Jinwoo Shin, Yung Yi
In various online/offline multi-agent networked environments, it is very popular that the system can benefit from coordinating actions of two interacting agents at some cost of coo…
Learning Data Dependency with Communication Cost
Hyeryung Jang, HyungSeok Song, Yung Yi
In this paper, we consider the problem of recovering a graph that represents the statistical data dependency among nodes for a set of data samples generated by nodes, which provide…