Excitatory cortical neurons form fine-scale functional networks

By Y. Yoshimura, Jami L. M. Dantzker, Edward M. Callaway. Nature, 2005

642 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/34c4e2b39bb6137a37f34c803a9bd39e5906c1d5

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Channelrhodopsin-2 and optical control of excitable cells (2006, methodology): “Recently, researchers used glutamate uncaging to probe the cellular connectivity of cortical networks by exciting neurons at several hundred sites 20 and recording the resulting synaptic transmission in postsynaptic cells.”
Monosynaptic restriction of transsynaptic tracing from single, genetically targeted neurons. (2007, background): “Because different neuron types involved in distinct subcircuits are intermingled, and even neighboring neurons of the same type differ in their connectivity and function (DeAngelis et al., 1999; Ohki et al., 2005; Song et al., 2005; Yoshimura et al., 2005), methods are required that can reveal the c”
Molecular and cellular approaches for diversifying and extending optogenetics. (2010, background): “…and anatomically defined class of cell, but within this class are cells that each project to multiple different areas of the brain (e.g., thalamus, spinal cord, striatum, and other cortical areas) and therefore have fundamentally distinct roles (Lein et al., 2007; Yoshimura et al., 2005).”
Functional selectivity and specific connectivity of inhibitory neurons in primary visual cortex (2018, methodology): “Performance of the population prediction was quantified as the Pearson correlation coefficient of ri, j with p̌i, j and averaged across trials: RC−P = 1 N N ∑ j=1 cov(ri, j, p̌i, j) σri, jσp̌i, j (14)”
Structured Connectivity in Cerebellar Inhibitory Networks (2014, background): “…of the same type (Ko et al., 2011; Perin et al., 2011; Song et al., 2005), where nonrandom features and clustering are present, and between different types of principal cells, where cortical layer specificity governs connectivity (Kampa et al., 2006; Lefort et al., 2009; Yoshimura et al., 2005).”
Millisecond-timescale, genetically targeted optical control of neural activity (2005, background): “Despite substantial progress made in the analysis of neural network geometry by means of non–cell-type-specific techniques like glutamate uncaging (for example, see refs”
Cortical High-Density Counterstream Architectures (2013, background): “The nonrandom connectivity at the single-cell level raises the issue of SW architecture at this scale (108, 109).”
The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. (2009, background): “Distinct subnetworks of neurons within a cortical column (Yoshimura et al., 2005; Kampa et al., 2006) might be specialized for processing specific types of information.”
Spatiotemporal Dynamics of Functional Clusters of Neurons in the Mouse Motor Cortex during a Voluntary Movement (2013, background): “…probabilities of reciprocal connections and/or stronger common synaptic inputs might cause clustered cells to be both more active (i.e., higher ATR) and more frequently covary in their activity (i.e., higher tCC) than nonclustered cells (Song et al., 2005; Yoshimura et al., 2005; Ko et al., 2011).”