Shunting inhibition modulates neuronal gain during synaptic excitation.
By Simon J. Mitchell, R. Silver. 2003
650 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology
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
- R. Silver
- Jeffery S. Isaacson
- Per Jesper Sjöström
- Wade G. Regehr
- Massimo Scanziani
- Michael Häusser
- Arnd Roth
- E. Rancz
In Cognitive Neuroscience
- R. Silver
- Jeffery S. Isaacson
- Per Jesper Sjöström
- Wade G. Regehr
- N. A. Cayco-Gajic
- Michael Häusser
- Massimo Scanziani
- Arnd Roth
In Neurology
- R. Silver
- J. Gilmer
- Abigail L. Person
- Sawako Tabuchi
- Karen Purba
- Massimo Scanziani
- Jeffery S. Isaacson
- Michael Häusser
Citations in the corpus
- Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “, 2015), in part by matching spike threshold to the overall activity level (Mitchell and Silver, 2003; Billings et al. 2014; Tabuchi et al., 2018).”
- Dopamine and Cognitive Control in Prefrontal Cortex. (2019, background): “Such a response modulation may improve the ability of cortical networks to detect sensory events [77], causing an adaptive rescaling of its input so as to maximize information transmission [78,79].”
- Contributions of the GABAA Receptor α6 Subunit to Phasic and Tonic Inhibition Revealed by a Naturally Occurring Polymorphism in the α6 Gene (2006, background): “Small changes in tonic current are known to have profound effects on the excitability of granule cells (Hamann et al., 2002; Mitchell and Silver, 2003; Chadderton et al., 2004).”
- Dendritic excitability and synaptic plasticity. (2008, positive): “Changes in the statistics of noisy synaptic inputs and changes in the ratio of excitation to inhibition can change the slope of the f/I curve and thus the gain of the neuron (120, 528, 611).”
- NMDA receptors with incomplete Mg2+ block enable low-frequency transmission through the cerebellar cortex (2012, background): “, 2002) and inhibition (Mitchell and Silver, 2003) also influReceived Nov.”
- Pathway-Specific Drive of Cerebellar Golgi Cells Reveals Integrative Rules of Cortical Inhibition (2018, background): “410 GoC recruitment scales with MF input density 411 The dynamic clamp experiments indicate that fast phasic feedforward inhibition from GoCs 412 plays only a minor role in temporally structuring GrC responses to MF input and support the 413 alternative view that slow, convergent inhibitory events p”
- Purkinje cells directly inhibit granule cells in specialized regions of the cerebellar cortex (2016, positive): “Functional Roles of PC to GrC Inhibition Previous studies established that fast and slow GoC to GrC inhibition and tonic inhibition reduce GrC excitability (Crowley et al., 2009; Mitchell and Silver, 2003; Rothman et al., 2009).”
- Synaptic and cellular properties of the feed-forward inhibitory circuit within the input layer of the cerebellar cortex (2008, background): “This, together with the wide dynamic range and non-accommodating nature of GrCs firing, promotes the efficient transmission of rate-coded information from MFs to GrCs (Mitchell and Silver, 2003).”
- Rapid Desynchronization of an Electrically Coupled Interneuron Network with Sparse Excitatory Synaptic Input (2010, positive): “Nevertheless, variations in inhibitory input synchrony may be a dynamic way to alter granule cell gain during sensory input, in addition to the steady-state tonic inhibitory component (Crowley et al., 2009; Mitchell and Silver, 2003; Rothman et al., 2009).”
- How Inhibition Shapes Cortical Activity (2011, positive): “This slope is not fixed but can be modulated, a phenomenon that goes under the name of gain control (Carvalho and Buonomano, 2009; Chance et al., 2002; Mitchell and Silver, 2003; Shu et al., 2003).”
- Tonically active GABA A receptors: modulating gain and maintaining the tone. (2004, background): “Modelling predicts that the mathematical operations performed by tonic inhibition depend on the variability of the excitatory rate-coded input [ 41 ].”