Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition.
By Laetitia Gabernet, Shantanu P. Jadhav, D. Feldman, Matteo Carandini, Massimo Scanziani. Neuron, 2005
637 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/ad4e9d3d19a078d2a107874e3d60ecd76aae27cc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Matteo Carandini
- Jeffery S. Isaacson
- Massimo Scanziani
- D. Ferster
- Ian M. Finn
- Soohyun Lee
- B. Rudy
- Wade G. Regehr
In Cognitive Neuroscience
- Matteo Carandini
- Jeffery S. Isaacson
- Massimo Scanziani
- D. Ferster
- Ian M. Finn
- Kenneth D. Miller
- Wade G. Regehr
- B. Rudy
Citations in the corpus
- How Inhibition Shapes Cortical Activity (2011, positive): “…since afferent inputs contact both principal cells and interneurons, the onset of excitation recorded in principal neurons will precede the onset of inhibition by a monosynaptic delay (that can be as brief as one ms) (Gabernet et al., 2005; Pouille and Scanziani, 2001; Stokes and Isaacson, 2010).”
- Three Groups of Interneurons Account for Nearly 100% of Neocortical GABAergic Neurons (2011, background): “In both the hippocampus and neocortex, somatic targeting fast spiking basket cells mediate powerful feedforward inhibition of principal cells (Pouille and Scanziani, 2001; Gabernet et al., 2005; Cruikshank et al., 2007).”
- Acetylcholine as a neuromodulator: cholinergic signaling shapes nervous system function and behavior (2012, background): “These interneurons normally decrease the response of cortical neurons to feed-forward excitation (Gabernet et al., 2005; Higley and Contreras, 2006), and the reduction of GABA release from these interneurons by ACh therefore enhances the ability of Figure 3.”
- Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli (2012, background): “…and Stryker, 2008; Kerlin et al., 2010; Cardin et al., 2007), and play a role in shaping the timing and dynamic range of cortical activity (Cobb et al., 1995; Sohal et al., 2009; Cardin et al., 2009; Pouille and Scanziani, 2001; Gabernet et al., 2005; Cruikshank et al., 2007; Pouille et al., 2009).”
- Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. (2010, background): “…precise timing of excitatory and especially inhibitory potentials is a critical factor in determining exactly when a given pyramidal neuron spikes (Gabernet et al., 2005; Haider and McCormick, 2009; Hasenstaub et al., 2005; Higley and Contreras, 2006; Pouille and Scanziani, 2001; Wehr and Zador,…”
- Identification of an inhibitory circuit that regulates cerebellar Golgi cell activity (2012, positive): “Though this basic role of feedforward inhibition in controlling spike timing is common in cortical circuits (Gabernet et al., 2005; Mittmann et al., 2005; Pouille and Scanziani, 2001; Wehr and Zador, 2003), the inhibitory circuit regulating granule cell activation of Golgi cells described here is…”
- Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons (2016, background): “For example, a fast spike generation (as in fast-spiking interneurons, due to lower firing threshold and/or stronger excitation on interneurons [59, 60]) plays an important role in keeping the delay short.”
- Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression (2009, background): “Furthermore, many factors could offset input imbalances; for example, intrinsic hyperpolarizing conductances could offset excitation, while temporal offsets between excitation and inhibition could mitigate excess inhibition (Gabernet et al., 2005; Troyer et al., 1998; Wilent and Contreras, 2005).”
- The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors (2010, background): “…studies of thalamocortical circuits report stronger, faster, and more converging projections from TC to FS neurons than to excitatory neurons (Agmon and Connors, 1991; Bruno and Simons, 2002; Swadlow, 2002; Wehr and Zador, 2003; Gabernet et al., 2005; Cruikshank et al., 2007; Hull et al., 2009).”
- Synaptic and cellular properties of the feed-forward inhibitory circuit within the input layer of the cerebellar cortex (2008, background): “…release can produce significant temporal jitter in the EPSC timing and shape from trial to trial (Sargent et al., 2005) and thus limit EPSP-spike coupling to 1 ms, even when the quantal EPSCs are fast (Miles, 1990; Galarreta and Hestrin, 2001; Carter and Regehr, 2002; Gabernet et al., 2005).”
- A disinhibitory microcircuit for associative fear learning in the auditory cortex (2011, background): “The balance of excitation and inhibition is critical to circuit function, and is maintained under most conditions including sensory stimulation, when thalamocortical input typically recruits feed-forward inhibition a few milliseconds after direct excitatio”
- Neuronal Synchrony in Complex-Valued Deep Networks (2013, background): “…shifting caused by inhibition could result in instability in networks with dominant negative weights, leading to fast switching of the phase variables. naptic feedforward inhibition (Gabernet et al., 2005; Stanley, 2013) could indeed result in destructive interference of out-ofphase excitation.”
- Amygdala inhibitory circuits and the control of fear memory. (2009, background): “In the striatum, a network of GABAergic projection neurons with local axon collaterals, in concert with distinct subgroups of local, inhibitory interneurons generates activity patterns that shape basal ganglia output and motor control (Kreitzer and Malenka, 2008; Tepper and Bolam, 2004).”
- GABAergic interneurons in the neocortex: From cellular properties to circuits (2016, positive): “(C) Weakening of PV IN FFI by short-term depression of thalamocortical synaptic inputs onto PV cells and PV IN outputs to PC (Gabernet et al., 2005).”