Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells.
By Gilad Silberberg, Henry Markram. Neuron, 2007
785 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/e0b353773c1b17bedf741ad55a11b1752a940488
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
- György Buzsáki
- John E. Lisman
- Henry Markram
- Soohyun Lee
- Carl C. H. Petersen
- G. Fishell
- Tobias Brosch
- A. Pala
In Cognitive Neuroscience
- György Buzsáki
- Xiao-Jing Wang
- James C. R. Whittington
- John E. Lisman
- Rafal Bogacz
- Henry Markram
- Carl C. H. Petersen
- Blake Aaron Richards
Citations in the corpus
- Theories of Error Back-Propagation in the Brain (2019, background): “…the computations in apical dendrites of pyramidal neurons and features of cortical micro-circuitry such as connectivity of a group of interneurons called the Martinotti cells , which receive input from pyramidal neurons in the same cortical area [62] and project to their apical dendrites [63].”
- Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex (2008, result): “Consistent with anatomical and physiological studies of connectivit”
- The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors (2010, background): “LTS neurons are thought to be involved in feedback inhibition (Beierlein et al., 2003; Kapfer et al., 2007; Silberberg and Markram, 2007; Fanselow et al., 2008).”
- Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations (2014, background): “Local inhibitory feedback circuits that involve Martinotti cells have been studied to investigate how they regulate the state of ensembles of pyramidal cells (e.g., Murayama et al., 2009, Palmer et al., 2012, Silberberg & Markram, 2007).”
- 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).”
- Pyramidal neurons: dendritic structure and synaptic integration (2008, background): “Basket cells, which target perisomatic regions, are likely to reduce the probability of firing during the activation of all excitatory synapses, whereas hippocampal OLM interneurons and neocortical Martinotti cells, which target the apical tuft, are likely to selectively affect the activation of dis”
- Towards deep learning with segregated dendrites (2016, methodology): “We have outlined the mathematics here to make the reality of implementing the current model explicit, but we would predict that the brain would have some alternative method for calculating differences between top-down inputs at different times, for example by using somatostatin positive interneurons”
- Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. (2010, background): “Indeed, other subtypes of interneurons also generate highly nonlinear response enhancement to costimulation of multiple excitatory pathways (e.g., Martinotti cells; Kapfer et al., 2007; Silberberg and Markram, 2007).”
- In Vivo Measurement of Cell-Type-Specific Synaptic Connectivity and Synaptic Transmission in Layer 2/3 Mouse Barrel Cortex (2015, positive): “in Layer 2/3 Mouse Barrel Cortex”
- Three Groups of Interneurons Account for Nearly 100% of Neocortical GABAergic Neurons (2011, background): “…the idea that this early inhibition shifts to a late but more sustained inhibition of principal cells mediated by dendritic targeting interneurons that receive strongly facilitating excitatory inputs (Pouille and Scanziani, 2004; Silberberg and Markram, 2007; Kapfer et al., 2007; Tan et al., 2008).”