Abstract: To enable low-power, closed-loop control in implantable brain-machine interfaces (BMIs), we explore efficient training strategies for spiking neural network (SNN) decoders under realistic ...
Abstract: Medical image analysis for diagnosing lung diseases heavily relies on automated lung segmentation as an essential procedure. The well-known UNet algorithms along with their variations have ...
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