ReviewAnnual review of neuroscience2020
Interneuron Types as Attractors and Controllers.
Review in Annual review of neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
142 citing papers in PubMed, 207 citations in OpenAlex.
- Ancient Somatosensory Circuit Architectures Employ Flexible Molecular Strategies.bioRxiv : the preprint server for biology · 2026Article
- ARX mutation-associated interneuron defects provide insights into mechanisms underlying developmental epilepsies.Brain : a journal of neurology · 2026Article
- Synaptic-state-dependent plasticity routes learning signals in recurrent circuits.bioRxiv : the preprint server for biology · 2026Article
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- Single-cell transcriptomic atlas of frontoinsular cortex reveals molecular correlates of selective neuronal vulnerability in FTD.bioRxiv : the preprint server for biology · 2026Article
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- A multimodal approach for visualizing and identifying electrophysiological cell types in vivo.Nature communications · 2026Article
- The atypical adhesion GPCR ADGRA1 controls hippocampal inhibitory circuit function.Cell reports · 2026Article
- Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.Progress in neurobiology · 2026Review
- Mapping spatially organized molecular and genetic signatures of schizophrenia across multiple scales in human prefrontal cortex.bioRxiv : the preprint server for biology · 2026Article
- Prefrontal chandelier cells encode stimulus salience to influence learning in male mice.Nature communications · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Excitation-inhibition homeostasis in Alzheimer's disease: a selective multiscale review of mechanisms, sex differences, and therapeutic opportunities.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Morphometric Similarity Loss and Gray Matter Atrophy Align with Neurotransmitter and Mitochondrial Maps in Drug-Resistant Epilepsy.Neuropsychiatric disease and treatment · 2026Article
- Hippocampal Chandelier Cells Modulate Seizure Susceptibility and Severity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dendrite-Targeting Inhibitory Interneurons Form Biased Circuits with Deep and Superficial Pyramidal Cells in Hippocampal CA1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- ANTIPODE Provides a Global View of Cell Type Homology and Transcriptomic Divergence in the Developing Mammalian Brain.bioRxiv : the preprint server for biology · 2025Article
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82 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Cortical interneurons display striking differences in shape, physiology, and other attributes, challenging us to appropriately classify them. We previously suggested that interneuron types should be defined by their role in cortical processing. Here, we revisit the question of how to codify their diversity based upon their division of labor and function as controllers of cortical information flow. We suggest that developmental trajectories provide a guide for appreciating interneuron diversity and argue that subtype identity is generated using a configurational (rather than combinatorial) code of transcription factors that produce attractor states in the underlying gene regulatory network. We present our updated three-stage model for interneuron specification: an initial cardinal step, allocating interneurons into a few major classes, followed by definitive refinement, creating subclasses upon settling within the cortex, and lastly, state determination, reflecting the incorporation of interneurons into functional circuit ensembles. We close by discussing findings indicating that major interneuron classes are both evolutionarily ancient and conserved. We propose that the complexity of cortical circuits is generated by phylogenetically old interneuron types, complemented by an evolutionary increase in principal neuron diversity. This suggests that a natural neurobiological definition of interneuron types might be derived from a match between their developmental origin and computational function.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.