Feasibility study on the application of a spiking neural network in myoelectric control systems by Antong Sun, Xiang Chen, Mengjuan Xu, Xu Zhang, Xun Chen

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WiN-GUI: A graphical tool for neuron-based encoding by Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi

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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

Subjects: “…spike encoding…”
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Design of a Configurable Spike-Encoding Circuit Based on Focal Plane Array by Di Lu, Wenchang Li, Jian Liu, Gang Chen, Zhigang Li

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Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory by Ahmad El Ferdaoussi, Jean Rouat, Eric Plourde

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WiN-GUI Version 2: A graphical tool for neuron-based encoding by Vittorio Fra, Simon F. Müller-Cleve, Gianvito Urgese, Chiara Bartolozzi

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Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine by Samaneh Alsadat Saeedinia, Mohammad Reza Jahed-Motlagh, Abbas Tafakhori, Nikola Kirilov Kasabov

Subjects: “…Spike encoding algorithm…”
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Lossless Encoding of Time-Aggregated Neuromorphic Vision Sensor Data Based on Point-Cloud Compression by Jayasingam Adhuran, Nabeel Khan, Maria G. Martini

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Polarization-resolved and polarization- multiplexed spike encoding properties in photonic neuron based on VCSEL-SA by Yahui Zhang, Shuiying Xiang, Xingxing Guo, Aijun Wen, Yue Hao

Subjects: “…Spike Encoding…”
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Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model by Priyadarshini Panda, Narayan Srinivasa

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Lossless Compression of Neuromorphic Vision Sensor Data Based on Point Cloud Representation by Maria Martini, Jayasingam Adhuran, Nabeel Khan

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DCENet-based low-light image enhancement improved by spiking encoding and convLSTM by Xinghao Wang, Qiang Wang, Lei Zhang, Yi Qu, Fan Yi, Jiayang Yu, Qiuhan Liu, Ruicong Xia, Ziling Xu, Sirong Tong

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Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning by Raghdah Saemaldahr, Mohammad Ilyas

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