research
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08/31/2023
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning
We introduce a method to convert Physics-Informed Neural Networks (PINNs...
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09/08/2022
Functional dimension of feedforward ReLU neural networks
It is well-known that the parameterized family of functions representabl...
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07/21/2022
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Physics-informed neural networks (PINNs) have shown to be an effective t...
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02/14/2022
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
Biological nervous systems typically perform the control of numerous deg...
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04/14/2021