Maximilian Nentwich, Marcin Leszczynski ... Lucas C Parra
A new computational model improves estimation of Granger connectivity by removing spurious effects of external inputs, and estimation of linear encoding models by removing spurious effects of recurrent connections.
Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.
Extended multi-attribute attentional drift diffusion model reveals how attentional dynamics and weight shifts lead to less healthy decisions under hunger.
A robust method to infer excitatory and inhibitory synaptic conductances from neuronal recordings reveals functional circuit organization in rhythmic networks.
Hormonal manipulation, laser microdissection, and bulk RNA sequencing indicate that Z chromosome dosage in the brain region HVC during development regulates the subsequent sexually dimorphic transcriptional specialization of zebra finch song nuclei.
Exposure to a real-life adversity, such as the COVID-19 pandemic, reduced the optimism bias typically observed in belief updating about future life events, shifting behavior toward more rational, Bayesian-like learning.