Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity

By Y. Yoshimura, Edward M. Callaway. 2005

397 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Network anatomy and in vivo physiology of visual cortical neurons (2011, background): “, 2005) and subnetworks of neurons that are highly connected within a group but not between groups (Yoshimura and Callaway, 2005; Yoshimura et al., 2005).”
Dense, Unspecific Connectivity of Neocortical Parvalbumin-Positive Interneurons: A Canonical Microcircuit for Inhibition? (2011, background): “Our results therefore differ from those of Yoshimura and Callaway (2005), which showed preferential connections from FS cells to PCs providing reciprocal excitation.”
In Vivo Measurement of Cell-Type-Specific Synaptic Connectivity and Synaptic Transmission in Layer 2/3 Mouse Barrel Cortex (2015, neutral): “Neuron Report In Vivo Measurement of Cell-Type-Specific”
Parvalbumin-expressing interneurons linearly control olfactory bulb output (2013, neutral): “However, individual cortical inhibitory neurons inhibit >50% of local excitatory neurons and receive excitatory input from a large fraction of them (Fino and Yuste, 2011; Packer and Yuste, 2011; Yoshimura and Callaway, 2005).”
Functional selectivity and specific connectivity of inhibitory neurons in primary visual cortex (2018, methodology): “We then normalized the log-IPSP and log-EPSP magnitudes by their mean for each such PV cell: IPSPnorm c = log10 IPSPc 1/n∑i=1 log10 IPSPi (17) EPSPnorm c = log10 EPSPc 1/n∑i=1 log10 EPSPi (18)”
A History of Spike-Timing-Dependent Plasticity (2011, background): “Structural assemblies imposed by topographic connectivity can furthermore be shaped by the region in which the neurons reside (Yoshimura and Callaway, 2005; Yoshimura et al., 2005; Kampa et al., 2006), their afferents and efferents (Le Be et al.”
Neural Elements for Predictive Coding (2016, background): “One in vitro study of rat V1 layer 2/3 combined photostimulation with whole-cell recordings from pyramidal/interneuron pairs (Yoshimura and Callaway, 2005).”
Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. (2010, background): “…Elsevier Inc. 107 potentials depends critically upon the connectivity and activity levels of presynaptic excitatory and inhibitory neuronal subtypes (Azouz et al., 1997; Bruno and Sakmann, 2006; Contreras and Palmer, 2003; Silberberg and Markram, 2007; Swadlow, 2003; Yoshimura and Callaway, 2005).”
How Inhibition Shapes Cortical Activity (2011, neutral): “…within $100 mm and receive excitatory input from a large fraction of them (Ali et al., 1999; Fino and Yuste, 2011; Glickfeld et al., 2008; Holmgren et al., 2003; Kapfer et al., 2007; Packer and Yuste, 2011; Silberberg and Markram, 2007; Stokes and Isaacson, 2010; Yoshimura and Callaway, 2005).”
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex (2010, neutral): “In primary sensory cortex, different subtypes also participate in distinct synaptic subnetworks with excitatory neurons (Yoshimura and Callaway, 2005; Xu and Callaway, 2009).”
Canonical microcircuits for predictive coding. (2012, neutral): “For more information on inhibitory connections, see Yoshimura and Callaway (2005).”
Structured Connectivity in Cerebellar Inhibitory Networks (2014, background): “in Cerebellar Inhibitory Networks”
Functional specificity of local synaptic connections in neocortical networks (2011, neutral): “Since inhibition, in particular, may be important in determining the receptive field properties of neurons in V1 28 , it will be important to examine the extent to which inhibitory connections are functionally specific 7 .”
Transneuronal Circuit Tracing with Neurotropic Viruses (2008, neutral): “[38,39]), it is highly desirable to have methods that can identify the connections to single neurons.”