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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Diverse sources of inhibition from the various interneuronal types are believed to enable networks to achieve more complex behaviors, including oscillations.
“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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Buzsáki, G. (2015) · Hippocampus · doi:10.1002/hipo.22488 · Cited by 1,759 · see citing works
“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…”
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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).”
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“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
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“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).”
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“…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).”
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“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…”
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Self-citationKim, J. A., & Connors, B. W. (2012) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2012.00027 · Cited by 135 · see citing works
“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).”
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“…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).”
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“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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- 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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