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 with dense …

Finding sensory stimuli that drive neurons optimally is central to understanding information
processing in the brain. However, optimizing sensory input is difficult due to the …

Mammalian cortex features a large diversity of neuronal cell types, each with characteristic
anatomical, molecular and functional properties. Synaptic connectivity rules powerfully shape …

The G-protein coupled receptor, metabotropic glutamate receptor 5 (mGluR5), is expressed
on both cell surface and intracellular membranes in striatal neurons. Using pharmacological …

In this article, we review the anatomical inputs and outputs to the mouse primary visual cortex,
area V1. Our survey of data from the Allen Institute Mouse Connectivity project indicates …

3D electron microscopy (EM) has been successful at mapping invertebrate nervous systems,
but the approach has been limited to small chunks of mammalian brains. To scale up to …

Clones of excitatory neurons derived from a common progenitor have been proposed to serve
as elementary information processing modules in the neocortex. To characterize the cell …

Classical models describe primary visual cortex (V1) as a filter bank of orientation-selective
linear-nonlinear (LN) or energy models, but these models fail to predict neural responses to …

The neural underpinning of the biological visual system is challenging to study experimentally,
in particular as the neuronal activity becomes increasingly nonlinear with respect to …

To understand how the brain computes, it is important to unravel the relationship between
circuit connectivity and function. Previous research has shown that excitatory neurons in layer …