Beverley A. Clark

The paper introduces BakingTray, an open-source software platform for block-face serial two-photon tomography, demonstrating its utility in neuroscience applications.

This study investigates how climbing fiber signals mediate fast and slow learning in mice, finding distinct encoding patterns in different cerebellar regions across learning stages.

The paper maps monosynaptic and disynaptic connectivity of cerebellar lobules LV and LS, revealing segregated inputs and overlapping outputs that support both specialized and integrated functions.

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

This paper introduces exponentiated gradient (EG) as a learning algorithm for artificial neural networks that better aligns with biological principles than gradient descent.

The paper identifies a pool of non-coding neurons in the barrel cortex that can be recruited to enhance perception through optogenetic activation during sensory tasks.