Interneurons of the neocortical inhibitory system

By Henry Markram, Maria Toledo-Rodriguez, Yun Wang, Anirudh Gupta, Gilad Silberberg, Caizhi Wu. 2004

3,105 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Optimal synaptic learning in non-linear associative memory (2010, background): “Note also that this regime offers novel functional interpretations for strongly inhibitory circuits, for example, involving basket or chandelier cells [55], [48].”
Amygdala inhibitory circuits and the control of fear memory. (2009, background): “…inhibitory interneurons form precise connections within local cortical microcircuits and impinge on distinct subcellular domains of principal cells and, by virtue of these properties, orchestrate many aspects of circuit activity and plasticity (Markram et al., 2004; Somogyi and Klausberger, 2005).”
Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition. (2005, neutral): “Thalamic afferents, however, impinge on the dendrites of RS neurons (Keller, 1995), whereas FS neurons preferentially (although not exclusively) project on the somatic/ perisomatic compartment (Kawaguchi and Kubota, 1997; Markram et al., 2004; Somogyi et al., 1998).”
A disinhibitory microcircuit for associative fear learning in the auditory cortex (2011, background): “Neocortical interneurons exert powerful control over circuit activity by supplying inhibition to surrounding pyramidal neurons and to other interneuron”
Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells. (2007, background): “Neocortical interneurons mediating this inhibition are anatomically and electrically highly diverse (Karube et al., 2004; Markram et al., 2004) and are specialized to target different elements of postsynaptic neurons (Somogyi et al., 1998).”
Synchronization in complex networks (2008, background): “ networks at the cellular level. In the last years, signiﬁcant progress has been made in the studies about the detailed interconnections of diﬀerent types of neurons at the level of cellular circuits [190, 191, 192]. At this level, the neuronal networks of mammalian cortex also possess complex struc”
Layer-Specific Organization of Local Excitatory and Inhibitory Synaptic Connectivity in the Rat Presubiculum (2017, background): “So far, we have considered all interneurons as belonging to a single group despite their well-known diversity (Markram et al. 2004; Nassar et al. 2015).”
The effects of electrical microstimulation on cortical signal propagation (2010, background): “The strong amplification of the input signal caused by this kind of positive feedback loop is tightly controlled by a large variety of GABAergic interneuron”
Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop (2009, background): “Physiological Identification of Entorhinal Neuron Types Since the various classes of principal cells and inhibitory interneurons have different circuit and resonant properties and contribute differentially to cortical operations (Freund and Buzsáki, 1996; Markram et al., 2004; Somogyi and Klausberge”
Dendritic excitability and synaptic plasticity. (2008, neutral): “As different types of inhibitory input may selectively target different dendritic compartments (496, 608, 708, 811), it is possible that subregions of the dendritic tree are selectively balanced in such a manner (249).”
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex (2010, neutral): “GABAergic interneurons make up 15%–20% of all neurons in the neocortex (Feldman and Peters, 1978; Kawaguchi and Kubota, 1997; Markram et al., 2004; Peters and Kara, 1985), where they display a remarkable diversity of subtypes as defined by morphological, molecular, and biophysical features (Ascoli…”
Inhibitory synaptic plasticity: spike timing-dependence and putative network function (2013, background): “Inhibitory cells make up roughly 20% of all cortical neurons and consist of many different cell types (Markram et al., 2004; Klausberger and Somogyi, 2008).”
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (2006, background): “Though most biologists agree with the classification in the figure, many would point out that it is greatly oversimplified (Markram et al. 2004), that the distinction between the classes is not sharp, that there are subclasses within each class (Nowak et al.”
The role of interneuron networks in driving human motor cortical plasticity. (2013, background): “…cortex have shown that iTBS acutely increases activity of fast-spiking (FS) inhibitory neurons which have terminals located mainly around the soma, whereas cTBS modulates non-FS neurons that predominantly regulate dendritic activity (Markram et al. 2004; Benali et al. 2011; Funke and Benali 2011).”
Receptive field formation by interacting excitatory and inhibitory synaptic plasticity (2016, background): “In part, this is likely due to the diversity of inhibitory cell types (Markram et al., 2004; Klausberger & Somogyi, 2008; DeFelipe et al., 2013) and their largely unresolved functional roles.”