Robin AA Ince, Angus T Paton ... Philippe G Schyns
Bayesian estimation of the proportion of the population that would show an effect in an experiment provides a broadly applicable alternative to standard null hypothesis tests on the population mean with several advantages.
Across primates, volumes of specific brain regions relate to specific socio-ecological factors, bridging the gap between neuro-cognitive operations from laboratory studies and challenges primates face in their natural environment.
The rapid learning of sensory information in cortical circuits is accompanied by a tight coordination of spike timing with the local theta-band population activity in visual cortex.
Neural sensory representations impose an inductive bias over the space of learning tasks, allowing some tasks to be learned by a downstream neuron more sample-efficiently than others.
Brijesh Modi, Matteo Guardamagna ... Francesco P Battaglia
A novel analytical framework for investigation of simultaneously occurring brain oscillations (from either single or multiple brain areas) and how it modulates the underlying neuronal population during sleep and wakefulness (or other behavioral tasks).
Priscila C Antonello, Thomas F Varley ... Jean Faber
Effectively connected neurons self-organize forming networks with a small-world architecture composed of modules, with most likely few and nearby neurons, integrated by more topologically important and high firing rate neurons.
Sarah M Rajtmajer, Timothy M Errington, Frank G Hillary
An increased emphasis on falsification – the direct testing of strong hypotheses – will lead to faster progress in science by allowing well-specified hypotheses to be eliminated.
James M Roe, Didac Vidal-Pineiro ... René Westerhausen
Brain asymmetry in cortical surface area shows lifespan stability from early childhood to old age and is more underpinned by genetic differences, whereas asymmetry in cortical thickness grows through childhood and adolescence and is minimally explained by genetics.
Synaptic modulations alone imbue networks with computational capabilities comparable to recurrent connections on several neuroscience-relevant tasks, which manifest in fundamentally different neuronal dynamics.
