A full and up-to-date publication list is available at Google Scholar.
Patch-seq: Past, Present, and Future.
Consequences of NMDA receptor deficiency can be rescued in the adult brain.
Assessing the molecular overlap between human major depressive disorder and three mouse models of chronic stress.
Single nucleus RNA sequencing implicates OPCs and deep layer excitatory neurons in the pathophysiology of major depression.
The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types.
Sag currents are a major contributor to human pyramidal cell intrinsic differences across cortical layers and between individuals.
Transcriptomic correlates of electrophysiological and morphological diversity within and across neuron cell types.
Transcriptomic evidence for alterations in astrocytes and parvalbumin interneurons in five cohorts of schizophrenia and bipolar subjects
Assessing transcriptome quality in patch-seq datasets.
Modeling sources of inter-laboratory variability in electrophysiological properties of mammalian neurons.
Cross-laboratory analysis of brain cell type specific transcriptomes with applications to bulk tissue data.
Transcriptomic correlates of neuron electrophysiological diversity.
Neurodata Without Borders: Creating a Common Data Format for Neurophysiology.
Agile text mining with Sherlok.
Brain-wide analysis of electrophysiological diversity yields novel categorization of mammalian neuron types.
NeuroElectro: a window to the world’s neuron electrophysiology data.
Intermediate intrinsic diversity enhances neural population coding.