The past decade has witnessed remarkable advances in the simultaneous measurement of
neuronal activity across many brain regions, enabling fundamentally new explorations of the …

We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from∼
250× 140× 90 μm 3 of electron microscopic images, including pyramidal and non-pyramidal …

To understand the brain we must relate neurons' functional responses to the circuit
architecture that shapes them. Here, we present a large functional connectomics dataset …

Neural circuits and the cells that comprise them represent the functional units of the brain.
Circuits relay and process sensory information, maintain homeostasis, drive behaviors, and …

We present a semi-automated reconstruction of L2/3 mouse primary visual cortex from 3
million cubic microns of electron microscopic images, including pyramidal and inhibitory …

Datasets collected in neuroscientific studies are of ever-growing complexity, often combining
high-dimensional time series data from multiple data acquisition modalities. Handling and …

Future high-performance computing (HPC) platforms increasingly depend on
heterogeneous node architectures to meet power and performance requirements. While …

Cellular barcoding methods offer the exciting possibility of 'infinite-pseudocolor'anatomical
reconstruction—ie, assigning each neuron its own random unique barcoded …

A number of calcium imaging methods have been developed to monitor the activity of large
populations of neurons. One particularly promising approach, Bessel imaging, captures …

We develop a novel depth-estimation constrained nonnegative matrix factorization
framework for reinforcing neuron extraction, which takes advantage of accurate depth …