Co-variations in resting state activity are thought to arise from a variety of correlated inputs to
neurons, such as bottom-up activity from lower areas, feedback from higher areas, recurrent …

The thalamus was long considered a passive relay of sensory information with little or no
active role in higher cognitive functions. However, mounting evidence suggests that thalamic …

For constructing neuronal network models computational neuroscientists have access to
wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters …

High-dimensional brain activity is often organised into lower-dimensional neural manifolds.
However, the neural manifolds of the visual cortex remain understudied. Here, we study large…

The primate brain is a complex system and many aspects of the relation between its cortical
structure and network activity remain to be understood. Bottom-up simulation approaches …

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and
structure of neural systems rather than on the exact morphology of individual neurons. For …

Assessing the similarity of matrices is valuable for analyzing the extent to which data sets
exhibit common features in tasks such as data clustering, dimensionality reduction, pattern …

Current electrophysiology experiments often involve massively parallel recordings of
neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts …

Numbers of neurons and their spatial variation are fundamental organizational features of
the brain. Despite the large corpus of cytoarchitectonic data available in the literature, the …

The primate brain uses billions of interacting neurons to produce macroscopic dynamics
and behavior, but current methods only allow neuroscientists to investigate a subset of the …