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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.
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“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
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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
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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
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“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).”
BackgroundMethodResultInfluentialBezaire, M. J., & Soltesz, I. (2013) · Hippocampus · doi:10.1002/hipo.22141 · Cited by 373
“Given the remarkable diversity of interneurons (Soltesz, 2006), we do not intend Hippocampus for this average to characterize any particular interneuron in the CA1.”
BackgroundSelf-citationParvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells
Lee, S.-H., Marchionni, I., Bezaire, M., Varga, C., Danielson, N., Lovett-Barron, M., Losonczy, A., & Soltesz, I. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.034 · Cited by 358
“In particular, it is unclear what the nature of the relationship is between heterogeneity of PCs (Bannister and Larkman, 1995; Mizuseki et al., 2011; Deguchi et al., 2011; Graves et al., 2012) and the well-known diversity of local GABAergic hippocampal interneurons (Soltesz, 2005).”
BackgroundExcitatory signal flow and connectivity in a cortical column: focus on barrel cortex.
Lübke, J., & Feldmeyer, D. (2007) · Brain Structure and Function · doi:10.1007/s00429-007-0144-2 · Cited by 233
“…neuron specificity (Beierlein et al. 2003; Koester and Johnston 2005; Kozloski et al. 2001; Markram et al. 1998; Reyes et al. 1998) as earlier described for interneurons in neocortex and hippocampus (reviewed by Freund and Buzsáki 1996; Somogyi et al. 1998; Markram et al. 2004; Soltesz 2006).”
BackgroundMethodBezaire, M. J., Raikov, I., Burk, K., Vyas, D., & Soltesz, I. (2016) · eLife · doi:10.7554/elife.18566 · Cited by 198
“We included eight model interneuron types (Klausberger and Somogyi, 2008; Soltesz, 2006; Armstrong and Soltesz, 2012): PV+ basket cells (these fast-spiking cells synapse on the somata and proximal dendrites of CA1 pyramidal cells), cholecystokinin+ (CCK+) basket cells (these regular-spiking cells…”
BackgroundMethodNeu, A. D., Földy, C., & Soltész, I. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.115691 · Cited by 190
“stratum radiatum do not comprise the whole phenotypic spectrum of CCK+ interneurons (Soltesz, 2005; Somogyi & Klausberger, 2005), they form a relatively homogeneous group of cells that allowed us to obtain connected pairs.”
BackgroundSelf-citationRigotti, M. (2010) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2010.00024 · Cited by 184
“INTRODUCTION Neurons in the mammalian brain are highly heterogeneous (Soltesz, 2005; Marder and Goaillard, 2006) and show diverse responses to sensory stimuli and other events.”
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Functional fission of parvalbumin interneuron classes during fast network events
Varga, C., Oijala, M., Lish, J., Szabo, G. G., Bezaire, M., Marchionni, I., Golshani, P., & Soltesz, I. (2014) · eLife · doi:10.7554/elife.04006 · Cited by 130
“The spatio-temporal control of principal cell assemblies during endogenous brain rhythms is orchestrated by GABAergic interneurons (Soltesz, 2006; Somogyi et al., 2014).”
BackgroundBasket cell dichotomy in microcircuit function
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Self-citationKim, J. A., & Connors, B. W. (2012) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2012.00027 · Cited by 138
“Several of our non-GIN cell sample resembled a “fastspiking” (FS) interneuron profile (Cesare et al., 1996; Soltesz, 2006; Hu et al., 2010), including brief spike half-widths (<0.7 ms) and minimal spike frequency adaptation during long step current stimuli (>0.85 frequency adaptation ratio).”
BackgroundInfluentialInterneuron Diversity in Layers 2–3 of Monkey Prefrontal Cortex
Zaitsev, A. V., Povysheva, N. V., González‐Burgos, G., Rotaru, D. C., Fish, K. N., Krimer, L. S., & Lewis, D. A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn198 · Cited by 128
“…interneurons are heterogeneous, with subpopulations distinguished by particular combinations of morphological, physiological, and molecular attributes (Cauli et al. 1997;Kawaguchi andKubota 1997;McBain and Fisahn 2001) and with variance in these attributes within subpopulations (Soltesz 2006).”
BackgroundTopological and Dynamical Complexity of Random Neural Networks
Wainrib, G., & Touboul, J. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.118101 · Cited by 124
Helmstaedter, M. N., Sakmann, B. J., & Feldmeyer, D. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn141 · Cited by 116
“Approximately 10--20% are nonpyramidal c-aminobutyric acidergic (GABAergic) neurons that evoke chloride-mediated, inhibitory postsynaptic potentials (IPSPs; Jones 1975; Houser et al. 1983; Beaulieu et al. 1992; for a review, see Soltesz 2006).”
BackgroundSimilarity and Diversity in Visual Cortex: Is There a Unifying Theory of Cortical Computation?
Hooser, S. D. V. (2007) · The Neuroscientist · doi:10.1177/1073858407306597 · Cited by 115
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“However, understanding cortical inhibition has been a challenging task as this process is executed through a diverse group of local and long-range projecting (LRP) GABAergic neurons (Soltesz, 2006).”
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“…membrane time constants, and inputs from several modulatory subcortical sources, are thought of as a \fine-tuning," highly plastic system that is more prone to both short-term and long-term modulatory influences (Freund, 2003; Glickfeld and Scanziani, 2006; Soltesz, 2006; Freund and Katona, 2007).”
BackgroundSelf-citationKoelbl, C., Helmstaedter, M., Lübke, J., & Feldmeyer, D. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht263 · Cited by 68
“Nevertheless, these neurons are highly diverse and therefore notoriously difficult to classify (e.g., Somogyi et al. 1998; Soltesz 2006; Ascoli et al. 2008).”
BackgroundMassey, K. A., Zago, W. M., & Berg, D. K. (2006) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2006.08.011 · Cited by 77
“The hippocampus contains multiple classes of interneurons with different functions; immunostaining for neuropeptides provides a means of distinguishing among the classes (Freund and Buzsaki, 1996; Soltesz, 2006).”
BackgroundPietersen, C. Y., Mauney, S. A., Kim, S. S., Passeri, E., Lim, M. P., Rooney, R. J., Goldstein, J. M., Petryshen, T. L., Seidman, L. J., Shenton, M. E., et al. (2014) · Journal of Neurogenetics · doi:10.3109/01677063.2013.878339 · Cited by 67
“Cellular heterogeneity characterizes the organization of the cerebral cortex, where functionally and structurally distinct classes of neurons mediate specific aspects of information processing (Markram et al., 2004; Soltesz, 2005).”
BackgroundNew dimensions of interneuronal specialization unmasked by principal cell heterogeneity
Krook-Magnuson, E., Varga, C., Lee, S.-H., & Soltesz, I. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.10.005 · Cited by 63
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“We propose that this variability has biological significance (Soltesz, 2006) and generates stability of firing within the Imp cell population.”
BackgroundWoo, T.-U. W., Shrestha, K., Lamb, D., Minns, M., & Benes, F. M. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.04.034 · Cited by 56
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“This structure is populated by a high diversity of local-circuit and long-range projecting (LRP) GABAergic neurons, which play highly specialized roles in coordinating different computations carried out by principal cells (PCs) (Soltesz 2006; Klausberger and Somogyi 2008; Pelkey et al. 2017).”
BackgroundMoroz, L. L. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00100 · Cited by 41
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“Because the cannabinoid CB1 receptor is localized to the axons of the subset of perisomatically targeting basket cells that contain the neuropeptide cholecystokinin or CCK (Freund 2003; Soltesz 2005) (Fig.”
BackgroundInfluentialSynchronization in random balanced networks
del Molino, L. C. G., Pakdaman, K., Touboul, J., et al. (2013) · Physical Review E · doi:10.1103/physreve.88.042824 · Cited by 39
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“interneuron innervate pyramidal cells, targeting different cellular compartments (Buhl et al. 1994; Halasy, 1996; Somogyi & Klausberger, 2005; Soltesz, 2006).”
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“Each population of neurons plays a unique role in the circuitry (Bezaire et al., 2016; Pelkey et al., 2017; Roux and Buzsáki, 2015; Soltesz, 2006), and together, they allow for the emergent functionality of the hippocampus, including effective navi- gation through time and space (Eichenbaum, 2014)…”
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“Compared with principal cells, GABAergic INs exhibit specific dendritic and axonal organization, intrinsic biophysical and synaptic properties, network activity, and brain-state-dependent firing behaviour (Freund & Buzsaki, 1996; McBain & Fisahn, 2001; Soltesz, 2006; Klausberger & Somogyi, 2008).”
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“characteristics confer PV neurons the ability to synchronize the activities of pyramidal neural networks (30, 31).”
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“Frontiers in Psychology 06 frontiersin.org acceptable approach providing that we appreciate that this may remove functionally-relevant variability (Parra et al., 1998; Aradi and Soltesz, 2002; Golowasch et al., 2002; Soltesz, 2006; Parker and Srivastava, 2013).”
BackgroundBitanihirwe, B. K. Y., & Woo, T.-U. W. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.09.016 · Cited by 16
“Inhibitory neurons in the cerebral cortex are morphologically, neurochemically, physiologically and thereby functionally diverse, with different subsets of these neurons regulating distinct aspects of information processing (Buzsaki, 2006; Markram et al., 2004; Soltesz, 2005; Wang et al., 2004).”
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“Many of these properties covary, indicating that the heterogeneity found in pyramidal neurons is not due to random events but instead due to their separation into specific cellular subtypes [6] that is choreographed by transcriptional regulation during neuronal development [7].”
BackgroundDynamic systems approaches and levels of analysis in the nervous system
Parker, D., & Srivastava, V. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00015 · Cited by 15
“While variability is gradually being recognized (see Soltesz, 2006), its nature and relevance remain unclear at the neuronal or network level.”
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“Understanding the rules of local circuits with inhibitory and excitatory components is particularly challenging given the notable the diversity of interneuron cell types and connectivity motifs in the brain (Soltesz, 2006; Soltesz & Losonczy, 2018).”
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Self-citationModeling the neural mechanisms underlying rule-based behavior
Rigotti, M. (2010)
Ma, Y. (2008) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.4400
“Although there is no general agreement on what is required to define a neuronal population as a subtype or “species” (Soltesz, 2005), the extent of the differentially expressed properties we observed approaches the requirements of some recently proposed definitions (Migliore and Shepherd, 2005; Somogyi and Klausberger…”
InfluentialMultiphoton Excitation Microscopy for the Reconstruction and Analysis of Single Neuron Morphology
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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
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