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SENECA: Building a fully digital neuromorphic processor, design trade-offs and challenges
Neuromorphic processors aim to emulate the biological principles of the brain to achieve high efficiency with low power consumption. …
Guangzhi Tang, Kanishkan Vadivel, Yingfu Xu, Refik Bilgic, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
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Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware
Decoding motor activity accurately and reliably from electroencephalography (EEG) signals is essential for several portable …
Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos Michmizos
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A Spiking Neural Network Mimics the Oculomotor System to Control a Biomimetic Robotic Head without Learning on a Neuromorphic Hardware
Facilitated by the emergence of neuromorphic hardware, neuromorphic algorithms mimic the brain’s asynchronous computation to improve …
Ioannis Polykretis, Guangzhi Tang, Praveenram Balachandar, Konstantinos Michmizos
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