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In extracellular neural recording experiments, detecting neural spikes is an important step for reliable information decoding. A successful implementation in integrated circuits can achieve substantial data volume reduction, potentially enabling a wireless operation and closed-loop system. In this paper, we report a 16-channel neural spike detection chip based on a customized spike detection method...
We investigate the differences between groups and individuals in newsvendor ordering behavior by a laboratory experiment under the tournament competitive environment. We also study the association between newsvendor decision making and the decision-making styles measured by the General Decision-making Style (GDMS) inventory. We observe that group decision making is not always superior to individual...
This paper presents a neural spike processing IC for simultaneous spike detection, alignment, and transmission on 8 recording channels with unsupervised closed-loop control. In this work, spikes are detected according to online estimated spiking probability maps, which reliably predict the possibility of spike occurrence. The closed-loop control has been made possible by estimating firing rates based...
The reference presents a novel approach for Chinese character recognition. Based on it, we know that we can treat character recognition as an image matching problem. Compared with traditional OCR, the new approach for character recognition uniquely uses local invariant descriptors as a new feature extraction method. In this paper, we present a new local descriptor which combines the scale-invariant...
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