Charlie Lamantia
Papers
1
Total Citations
29
H-Index
1
About
Charlie Lamantia is a neuroscientist advancing our understanding of neural recording technologies. His research focuses on the critical intersection of extracellular multielectrode array (MEA) design and in vivo electrophysiology, particularly evaluating how electrode configurations influence spike detection fidelity. Lamantia’s most cited work, “Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability” (2018, 29 citations), provides a rigorous, quantitative framework for comparing MEA performance by using automated patch-clamp recordings as a ground truth. This contribution directly addresses a major bottleneck in neural engineering: optimizing electrode geometry—number, density, and arrangement—to maximize the yield and accuracy of recorded neural signals. By enabling researchers to make data-driven choices about MEA configurations for specific experimental goals, Lamantia’s work has practical implications for designing better brain-computer interfaces and fundamental neuroscience studies. His findings help bridge the gap between technological innovation in electrode fabrication and the real-world demands of recording neural activity in the mammalian brain, making his research essential for students and engineers working to improve neural recording systems.
Research Focus
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Top Papers
- 1