The past decade has witnessed a renewed interest in cortical local field potentials (LFPs)—
that is, extracellularly recorded potentials with frequencies of up to∼ 500 Hz. This is due to …

Modeling work in neuroscience can be classified using two different criteria. The first one is
the complexity of the model, ranging from simplified conceptual models that are amenable to …

Soma location, dendrite morphology, and synaptic innervation may represent key
determinants of functional responses of individual neurons, such as sensory-evoked spiking …

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

How does the brain compute? Answering this question necessitates neuronal connectomes,
annotated graphs of all synaptic connections within defined brain areas. Further …

Single-neuron models are useful not only for studying the emergent properties of neural
circuits in large-scale simulations, but also for extracting and summarizing in a principled …

To understand how the central nervous system performs computations using recurrent
neuronal circuitry, simulations have become an indispensable tool for theoretical …

The mouse brain contains a rich diversity of inhibitory neuron types that have been
characterized by their patterns of gene expression. However, it is still unclear how these cell …

Our internal sense of direction is thought to rely on the activity of head-direction (HD)
neurons. We find that the mouse dorsal presubiculum (PreS), a key structure in the cortical …

It is well established that neural circuits consist of a great diversity of cell types, but very little
is known about how neuronal diversity contributes to cognition and behavior. One approach …