11 citations · 31 across the 14 of their papers we have counts for
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Delays in Spiking Neural Networks: A State Space Model Approach
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
Spiking neural networks (SNNs) are biologically inspired, event-driven models suited for temporal data processing and energy-efficient neuromorphic computing. In SNNs, richer neuro…
Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
Neuromorphic computing is an emerging technology enabling low-latency and energy-efficient signal processing. A key algorithmic tool in neuromorphic computing is spiking neural net…
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
In spiking neural networks (SNNs), the main unit of information processing is the neuron with an internal state. The internal state generates an output spike based on its component…