Patch-walking is a novel automated patch clamp approach for finding synaptic connections in brain tissue, yielding 80–92% more probed connections than traditional approaches.

Analysis of slow wave brain state unravels the functional connectivity and the biological substrate of the rodent dorsolateral and dorsomedial striatum, demonstrating its organization in two non-overlapping circuits.

Building on previous work (Huang et al., 2013), it is shown that single granule cells receive excitatory synaptic input driven by up to three separate sensory modalities in vivo, which demonstrate that individual neurons can contribute to multisensory integration at the input layer of the cerebellar cortex.

In vivo calcium imaging in visual cortex neurons before eye opening shows that clustered synaptic inputs develop in dendritic domains, which may be precursors of computational subunits after eye opening.

Abundant self-inhibitory synapses in the layer 2/3 of human neocortex strongly regulate the function of basket cells.

High-quality, multimodal, electrophysiological, morphological, and transcriptomic data collection from a single cell using a refined Patch-seq protocol.

Combining a multineuron patch-clamp system with an automated pipette pressure and cleaning device enables efficient screening of synaptic connectivity in human brain slices and allows inter-individual comparison.

Recordings of cellular and network activities of the mouse brain provide insights into how gamma rhythms contribute to memory formation.

As the first fully genetically encoded method, PARIS allows cell-specific, long-term, repeated measurements of gap junctional coupling with high spatiotemporal resolution, facilitating its study in both health and disease.