Philip R. Nicovich

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

The paper predicts MET-type identities from EM data and shows they have distinct connectivity patterns and synapse targets.

The paper maps brain-wide monosynaptic inputs to specific neuron classes in mouse visual cortex using an improved rabies virus tracing strategy and identifies connectivity patterns within and between visual areas.

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 compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

The paper identifies conserved and divergent morpho-electric and transcriptomic properties of human and rodent layer 5 extratelencephalic-projecting neurons using patch-seq in human brain slices.

This study compares neuronal responses in visual cortex using electrophysiology and two-photon imaging in awake mice, finding differences in responsiveness and selectivity and exploring data transformations to reconcile them.

PaintSHOP provides an interactive platform for designing oligonucleotide FISH experiments, integrating machine learning to predict probe specificity and generate standardized probe sets.

The paper characterizes fiber-coupled illumination systems for fluorescence microscopy, comparing speckle reduction schemes and introducing a new design called the EvenField Illuminator.

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

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 identifies transcriptomic diversity in human supragranular neurons and links it to functional specialization and disease vulnerability.

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

The paper shows that h-channels contribute to differences in electrophysiological properties between human and mouse supragranular pyramidal neurons.

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.