HIGHLIGHTS
- who: Yuxiao Ning and colleagues from the Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China have published the paper: Volitional Generation of Reproducible, Efficient Temporal Patterns, in the Journal: (JOURNAL)
- what: The authors designed a novel brain-machine interface (BMI) paradigm. The focus of this work is to study the generation and the learning of efficient temporal patterns in the motor cortex by introducing a new BMI that constrains the precise spike timing as well as the metabolic cost brought by the spike counts. More specifically, this study investigated the capability to generate efficient . . .
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