A two-part neural network models reward-based training and provides a unified framework in which to study diverse computations that can be compared to electrophysiological recordings from behaving animals.
A new automated system for recording and analyzing neural activity in behaving animals over months-long time-scales offers new perspectives on how neural circuits underlie processes such as learning, development, and recovery from brain injury.
Neurons in the lateral habenula are activated by pain, bitterness and social defeat, and their responses are dynamically shaped by learning, suggesting a role in experience-dependent selection of behavioral actions to stressors.
New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.
An unbiased model for the self-organisation of the Golgi apparatus displays either anterograde vesicular transport or cisternal maturation depending on ratios of budding, fusion and biochemical conversion rates.