Search Results for author:
Found 4 papers, 2 papers with code
Transductive Spiking Graph Neural Networks for Loihi
We showcase the performance benefits of combining neuromorphic Bayesian optimization with our approach for citation graph classification using fixed-precision spiking neurons.
Attention for Causal Relationship Discovery from Biological Neural Dynamics
This paper explores the potential of the transformer models for learning Granger causality in networks with complex nonlinear dynamics at every node, as in neurobiological and biophysical networks.
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing
Currently available simulators are catered to either neuroscience workflows (such as NEST and Brian2) or deep learning workflows (such as BindsNET).
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron
They are expected to be indispensable for energy-efficient computing in the future.
