Exploring Spike Encoder Designs for Near-Sensor Edge Computing

Robust sensing and detection require energy- and cost-efficient hardware and software capable of operating reliably in dynamic environments with wide variations in operating conditions. Spiking Neural Networks (SNNs), widely recognized as biologically inspired computing models, offer significant pot...

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Veröffentlicht in:	2025 Neuro Inspired Computational Elements (NICE) S. 1 - 9
Hauptverfasser:	Jin, Jingang, Zhang, Zhenhang, Qiu, Qinru
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.03.2025
Schlagworte:	Adaptation models Complexity theory Computational modeling Computer architecture Costs Edge computing Encoding Hardware in-Hardware Learning Reservoirs SNN Spike encoder Transforms
Online-Zugang:	Volltext
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