Michael W Reimann, Sirio Bolaños-Puchet ... Srikanth Ramaswamy
A morphologically detailed model of brain region anatomy serves as the foundation for biophysically detailed simulations and provides insights into local and inter-regional connectivity.
Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
Christos Sourmpis, Carl CH Petersen ... Guillaume Bellec
Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically targeted inhibitory neurons are applied.
A simple statistical model captures the essential features of object motion in a large database of natural scenes, helping to shed light on the challenges posed to sensory and motor systems.
Trained immunity provides a unifying framework linking innate immune memory to both protective and maladaptive inflammation across neurological diseases, offering new insights into disease mechanisms and potential therapeutic strategies.
Genetic perturbation of Afadin in the retina reveals its importance for the precise organization of the retinal layers while leaving neuronal fate and numbers unaffected.
