Gabe J. Murphy

The paper investigates target cell-specific synaptic dynamics between excitatory and inhibitory neurons in human neocortex, finding similarities to rodent studies.

The paper identifies a mutation that enhances the sensitivity of a fluorescent voltage indicator, improving its ability to detect both spiking and subthreshold voltage signals in multiple organisms.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

The paper measures synaptic inputs onto superficial excitatory neurons in mouse primary visual cortex using two-photon optogenetic stimulation and finds that layer 4 excitatory neurons and somatostatin-neurons in layer 2/3 are the most common sources of input, with strong connections distributed across cells.

The paper uses single-cell RNA-seq to analyze relay neurons in the dLGN across species, finding subtle transcriptomic differences compared to morphological and functional distinctions.

The paper describes an optimized Patch-seq technique for high-quality electrophysiological, morphological, and transcriptomic characterization of neurons, along with software tools for data acquisition and analysis.

The paper characterizes the relationship between spiking activity and fluorescence signals in GCaMP6-expressing neurons, finding GCaMP6s has better single-spike detection than GCaMP6f.

The paper develops coupled autoencoders to identify cortical neurons across modalities and finds consistent cell types in transcriptomic and electrophysiological data.

The paper characterizes transcriptomic and physiological properties of GABAergic cortical neurons in mice, identifying 20 interneuron met-types with consistent features across modalities.

The paper introduces a new genetically encoded voltage indicator, Voltron, which improves brightness and photostability for extended in vivo voltage imaging in mice, zebrafish, and fruit flies.

The paper classifies neurons in mouse visual cortex into 17 electrophysiological and 35 morphological types using unsupervised methods and links them to transcriptomic types.

The paper identifies three subregions in the mouse lateral posterior nucleus that form corticothalamic loops biased towards ventral or dorsal visual streams and reveal distinct input sources driving their activity.

The paper presents a method combining spatial transcriptomics with optogenetic mapping to resolve cell type characteristics in mouse cortex.

The paper introduces the Markov link method to predict measurements from different experimental techniques and evaluates it on single-cell RNA sequencing data.

The paper examines sparse excitatory connectivity in adult mouse and human cortex using electrophysiology and optogenetics, finding sparse connections and synaptic dynamics across layers.

The paper introduces a new set of transgenic mouse lines for precise targeting and manipulation of brain cell types, enhancing genetic tools for neuroscience research.