Differential attention-dependent response modulation across cell classes in macaque visual area V4.

By Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds. Neuron, 2007

714 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/e17a768e28d355cc311073b8bb7fb803d332a4ab

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli (2012, result): “…Elsevier Inc. spike-waveforms (Figure S1) had faster kinetics than non-PV cells recorded using the same configuration, consistent with these cells being of the fast-spiking type (McCormick et al., 1985; Connors and Kriegstein, 1986; Swadlow, 2003; Andermann et al., 2004; Mitchell et al., 2007).”
The Normalization Model of Attention (2009, methodology): “Attention causes a marked reduction in the variability of the neuronal response, as indexed by the Fano factor (Mitchell et al., 2007).”
Modulation of visual responses by behavioral state in mouse visual cortex. (2010, positive): “Two recent studies have also shown a difference in attentional modulation of visual response between narrow- and fast-spiking cells (Chen et al., 2008; Mitchell et al., 2007); our results demonstrate a further qualitative shift in cell-type-specific visual responses, by the recruitment of this subse”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, methodology): “The approach of identifying cell types using extracellular recordings is quite well accepted, e.g. see (Bartho et al., 2004; Csicsvari et al., 1999, 2003; Mitchell et al., 2007).”
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression. (2015, background): “This is supported by the data from Mitchell, Sundberg, and Reynolds (2007), who found that attention modulates interneurons twice as strongly as pyramidal cells, and by the anatomical metaanalysis from Potjans and Diesmann (2012) reporting the required inhibitory, intra-layer connections from an…”
Common circuit defect of excitatory-inhibitory balance in mouse models of autism (2009, neutral): “Of particular relevance is the recent finding that visual attention preferentially modulates FS interneurons in parietal areas [73], which we find are prone to PV-cell deficits in ASD mouse models (Table 1).”
Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007, methodology): “As a consequence, many authors have distinguished between putative excitatory and inhibitory neurons recorded in different brain areas of awake animals (such as hippocampus, somatosensory cortex, lower and higher visual cortical areas, and rat barrel cortex) using only the temporal features of the s”
Dopamine and Cognitive Control in Prefrontal Cortex. (2019, background): “Both effects are reminiscent of attentional modulation [85,86].”
Stimulus onset quenches neural variability: a widespread cortical phenomenon (2010, methodology): “We interpreted changes in the Fano factor as reflecting changes in across-trial firing-rate variabilit”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “Fano factor or CV is also close to 1 for spiking activity of single-units recorded in extrastriate cortical areas of alert behaving monkeys, including the middle temporal area MT (39, 116, 863, 883), V4 (664, 688), prefrontal cortex (184, 864), and motor cortex (716).”