Jake Patrick Stroud

Neural signatures of glioma progression using implanted neural interfaces

Microwire recordings in glioma-bearing mice track tumor progression: gamma power rises in glioblastoma and diffuse intrinsic pontine glioma xenografts, and low-gamma trajectories predict tumor growth rate (R^2 0.63).

Working memory shapes neural geometry in human EEG over learning

The paper shows that working memory shapes neural geometry in human EEG during learning by transforming task features into low-dimensional representations.

Effects of noise and metaboliccost on cortical task representations

This study shows how neural circuits adjust their representation of task-relevant and irrelevant stimuli based on noise and metabolic cost, aligning with minimal representational strategies observed in primate prefrontal cortex.

Optimal information loading into working memory in prefrontal cortex explains dynamic coding

The paper investigates optimal information loading into working memory in prefrontal cortex using mathematical analysis, simulations, and monkey recordings, finding orthogonal inputs lead to dynamic coding.

Learning shapes neural geometry in the prefrontal cortex

This study shows that prefrontal cortex representations change from high-dimensional and nonlinear to low-dimensional and rule-selective as animals learn a new task rule.

Motor primitives in space and time via targeted gain modulation in cortical networks

The paper shows that modulating neuronal input-output gains in cortical networks can generate diverse movements and control their speed and shape.