The DOI matches its Crossref record.
Diversity in the Neuronal Machine
Abstract
This book travels a colorful journey into the fascinatingly diverse world of interneurons, an important class of highly heterogeneous cells found in all cortical neuronal networks. Interneurons are known to play key roles in many brain functions, from sensory processing to neuronal oscillations linked to learning and memory. This book aims to provide new insights into the striking degree of cellular diversity found in interneuronal microcircuits. The book discusses the history of research into interneuronal variability, the developmental origins of interneuronal diversity, the functional roles of heterogeneity in neuronal circuits, contemporary interneuronal classification systems, and the genetic and homeostatic mechanisms that shape the degree of cell to cell variability within interneuronal populations. It elaborates on new ideas about interneuronal diversity that rest upon recent theoretical and experimental results, with arguments touching upon evolution, animal behavior, and the mathematical theory of small world networks.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Since the diverse sources of inhibition from the various interneuronal types are believed to enable networks to achieve more complex behaviors, including oscillations (Soltesz, 2006; Rotstein et al., 2005; Kepecs and Fishell, 2014)”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Soltesz, 2006
Citations
Cited by
Sorted by citations
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
Bartos, M., Vida, I., & Jonas, P. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2044 · Cited by 2,070
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
“Given such input variations, and the high heterogeneity of both cellular and synaptic properties in interneurons (887), how can synchronous oscillations be maintained robustly? Modeling studies suggest that synchrony can be more robustly realized in spite of heterogeneity when GABAA receptor-mediated synaptic inhibiti…”
BackgroundHippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning
Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759
“There are many different families of interneurons in the cortex (Freund and Buzs aki, 1996; Hippocampus McBain and Fisahn, 2001; Solt esz, 2005; Klausberger and Somogyi, 2008; Fishell and Rudy, 2011; Kepecs and Fishell, 2014) and hippocampal interneurons show diverse firing patterns during SPW-Rs from potent increase…”
BackgroundFreund, T. F., & Katona, I. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.012 · Cited by 656
Distinct Subtypes of Somatostatin-Containing Neocortical Interneurons Revealed in Transgenic Mice
Ma, Y., Hu, H., Berrebi, A. S., Mathers, P. H., & Agmon, A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0661-06.2006 · Cited by 432
“What has emerged are parallel systems of technique-specific, or even practitioner-specific, classifications, each based on a limited set of features, and which are nearly impossible to reconcile with each other (Soltesz, 2005).”
BackgroundMethodResultInfluential
Metadata
- Authors
- Soltesz, I.
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2006-02-23
- OpenAlex
- W2501101982
- Cited by
- 68
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 5 · 2018: 3 · 2017: 1 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 9 · 2012: 1
- FWCI
- 3.39
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- interneurons, neuronal heterogeneity, cortical microcircuits, cell-to-cell variability, homeostatic mechanisms, neural oscillations, small-world networks, animal behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Diversity in the Neuronal Machine. https://app.cochat.ai/papers/10.1093/acprof:oso/9780195177015.001.1
- The paper
- Soltesz, I. (2006). Diversity in the Neuronal Machine. Oxford University Press eBooks. https://doi.org/10.1093/acprof%3Aoso/9780195177015.001.1