A full and up-to-date publication list is available at Google Scholar.
Symptom dimensions of major depression in a large community-based cohort.
Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences.
Cannabis, schizophrenia genetic risk, and psychotic experiences : A cross-sectional study of 109,308 participants from the UK Biobank.
Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.
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.
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.