1 citations · 1 across the 6 of their papers we have counts for
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Bellman Memory Units: A neuromorphic framework for synaptic reinforcement learning with an evolving network topology
Shreyan Banerjee, Aasifa Rounak, Vikram Pakrashi
Application of neuromorphic edge devices for control is limited by the constraints on gradient-free online learning and scalability of the hardware across control problems. This pa…
Neuromorphic computing for anomaly detection in a laser powder bed fusion process
Shreyan Banerjee, Aasifa Rounak, Cathal Hoare +2
This study is the first application of spiking neural networks (SNNs) for anomaly detection in the Laser Powder Bed Fusion (LPBF) additive manufacturing process. The neural network…
Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
Shreyan Banerjee, Luna Gava, Aasifa Rounak +1
The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network comp…
Higher-Order Transverse Discontinuity Mapping in Filippov Systems: Analysis and Experimental Validation using an Electronic Circuit
Rohit Chawla, Soumyajit Seth, Aasifa Rounak +1
This paper shows that linearizing the transverse discontinuity mapping (TDM) in Filippov systems can produce inaccurate predictions of the dynamics in impact oscillators operating…