Rachel Conn
Papers
2
Total Citations
14
H-Index
2
About
Rachel Conn is a neuroscientist whose research illuminates how the brain encodes movement at the millisecond scale. Her work focuses on the intersection of motor control and information theory, specifically investigating how precise spike timing—rather than just firing rate—shapes comprehensive motor programs. Conn’s major contribution is developing an information-theoretic method capable of resolving millisecond-scale spike timing precision within complex motor circuits, a technique that bridges the gap between slow, rhythmic behaviors and rapid, ballistic actions like flight. Her most-cited paper (2023, 11 citations) and its earlier version (2021, 3 citations) demonstrate the growing recognition of precise temporal coding in motor systems, challenging the traditional view that motor outputs rely solely on rate-based encoding. By applying rigorous analytical tools to neural data, Conn has provided a framework for understanding how animals—from moths to birds—use timing to control movement with remarkable accuracy. Her work is notable for its cross-species implications and its potential to inform both basic neuroscience and neuroprosthetic design, making her a rising voice in the study of neural coding and motor behavior.
Research Focus
Key Achievements
Top Papers
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- 2