Byron M. Yu

TL;DR: In this article, the inflexibility of neural variability throughout learning, the use of multiple learning processes even during simple tasks, and the presence of large task-nonspecific activity changes are discussed.

TL;DR: This work proposes “Adept,” an adaptive stimulus selection method that can optimize population objective functions and tested it in a closed-loop electrophysiological experiment in which population activity was recorded from macaque V4, a cortical area known for mid-level visual processing.

TL;DR: This article constructed a complex synthetic community (104 strains, hCom1) containing the most common taxa in the human gut microbiome, and then used these data to construct a second version of the community, adding 22 strains that engrafted following fecal challenge and omitting 7 that dropped out.

TL;DR: In this paper, the authors established concrete mathematical and empirical relationships between pairwise correlation and metrics of populationwide covariability based on dimensionality reduction and found that the previously reported decrease in mean pairwise correlations associated with attention stemmed from three distinct changes in population-wide covariality.

TL;DR: In this paper, a probabilistic mixture of trajectory models (MTM) is proposed to combine simple trajectory models, each accurate within a limited regime of movement, in order to infer goal-directed reaching movements to multiple discrete goals.