Zacnicte May
Papers
1
Total Citations
31
H-Index
1
About
Zacnicte May is a behavioral neuroscientist whose work centers on developing automated, high-throughput methods for studying rodent motor learning and cognition. Her most cited paper, "Improved single pellet grasping using automated ad libitum full-time training robot" (2014, 31 citations), introduced a novel robotic system that enables continuous, unsupervised training of rats in a skilled reaching task. This innovation significantly reduces human intervention and variability, allowing for more consistent and scalable behavioral data collection. By automating the pellet-grasping paradigm, May's research has provided a powerful tool for investigating neural mechanisms underlying motor skill acquisition, particularly in models of neurological disorders like stroke and Parkinson's disease. Her contributions have been instrumental in advancing the field of rodent behavioral neuroscience, offering a reproducible platform for studying the effects of training, rehabilitation, and neural plasticity. With over 30 citations, this foundational work continues to influence experimental design in motor learning studies, underscoring May's role in bridging robotics and neuroscience to enhance the rigor and efficiency of preclinical research.
Research Focus
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Top Papers
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