Data-driven computational models of neurons, synapses, microcircuits, and mesocircuits
have become essential tools in modern brain research. The goal of these multiscale models …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of
juvenile rat. The reconstruction uses cellular and synaptic organizing principles to …

The lack of a formal link between neural network structure and its emergent function has
hampered our understanding of how the brain processes information. We have now come …

Background Transcranial magnetic stimulation (TMS) enables non-invasive modulation of
brain activity with both clinical and research applications, but fundamental questions remain …

The cerebellar microcircuit has been the work bench for theoretical and computational
modeling since the beginning of neuroscientific research. The regular neural architecture of …

Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …

Simulation-based inference (SBI) solves statistical inverse problems by repeatedly running a
stochastic simulator and inferring posterior distributions from model-simulations. To improve …

The hippocampal theta rhythm plays important roles in information processing; however, the
mechanisms of its generation are not well understood. We developed a data-driven …

Gain-of-function (GOF) pathogenic variants in the potassium channels KCNQ2 and KCNQ3
lead to hyperexcitability disorders such as epilepsy and autism spectrum disorders …