Investigation of synapse development using a single neuron system illuminates how individual neurons specify connectivity with their postsynaptic partners and the central role of the synaptic organizer neurexin in this process.

The substrate for evolutionary divergence does not lie in changes in neuronal cell number or targeting, but rather in sensory perception and synaptic partner choice within invariant, prepatterned neuronal processes.

A combination of multicellular recording and optogenetic photostimulation was used to deeply characterize the spatial profiles and effective strengths of intralaminar and translaminar synaptic connections from genetically defined neuronal populations in the visual cortex of adult mouse.

The animal phylogeny of glutamate receptors indicates that vertebrate types do not account for all receptor classes originated during evolution, neither are they the pinnacle of a linear evolutive process.

Populations of spinal cord neurons innervate motoneurons controlling local and distant synergist and antagonist muscles.

A model for synchronous neurotransmitter release suggests that when not in the presence of calcium ions, Synaptotagmin proteins form ring-like structures between the vesicle and plasma membrane that prevent spontaneous fusion.

Single-cell transcriptomes of larval zebrafish whole brain shed light on the multidimensional landscapes of transcription factors and post-transcriptional regulators in vertebrate whole-brain neuronal classification and revealed principles of how neuronal cell diversity develops and evolves.

Transsynaptic mapping of the postsynaptic connections of mushroom body output neurons reveal both divergent and convergent projections allowing for multimodal integration prior to initiation of an output response.

Unique 'true' S-cone and S-cone bipolar cell distribution patterns in the mouse retina are previously unappreciated anatomical features that support enhanced short-wavelength signaling for color detection above horizon.

Computational modeling suggests that feedback between striatal cholinergic neurons and spiny neurons dynamically adjusts learning rates to optimize behavior in a variable world.