Papers
2
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5
H-Index
1
About
Alexa Riehle is a leading neuroscientist whose research sits at the intersection of motor control and brain-machine interfaces (BMI). Her work fundamentally explores how the motor cortex encodes the parameters of movement, from high-level goals to fine-grained kinetic details. A cornerstone of her contribution is the precise decoding of complex hand actions, as demonstrated in her highly cited 2015 study. This work showed how frequency analysis of motor cortex spike trains could simultaneously estimate both grip type and grip force during two-digit grasping, a critical step toward dexterous neural prosthetics. By leveraging data from 100-microelectrode arrays, Riehle provided a blueprint for extracting rich kinematic and kinetic information from neural signals. More recently, her 2025 investigation into the energy constraints of reaching movements has offered a compelling, unifying principle for why both monkeys and humans select stereotyped trajectories. By framing motor control through the lens of metabolic efficiency, her work bridges computational theory with biological reality. With a career dedicated to unraveling the neural code of action, Riehle’s research continues to shape how we understand and interface with the brain’s motor system.
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