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Jose L. Herrero

Researcher at The Feinstein Institute for Medical Research

Publications -  49
Citations -  2283

Jose L. Herrero is an academic researcher from The Feinstein Institute for Medical Research. The author has contributed to research in topics: Auditory cortex & Visual cortex. The author has an hindex of 17, co-authored 45 publications receiving 1737 citations. Previous affiliations of Jose L. Herrero include University of Sunderland & Hofstra University.

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Acetylcholine contributes through muscarinic receptors to attentional modulation in V1

TL;DR: It is demonstrated that muscarinic cholinergic mechanisms play a central part in mediating the effects of attention in V1 by showing that this attentional modulation was enhanced by low doses of acetylcholine.
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Attention Reduces Stimulus-Driven Gamma Frequency Oscillations and Spike Field Coherence in V1

TL;DR: Whether rhythmic activity in V1 of the macaque monkey (macaca mulatta) is affected by top-down visual attention is investigated and gamma oscillations were strongly modulated by the stimulus and by attention.
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Breathing above the brain stem: volitional control and attentional modulation in humans

TL;DR: It is suggested that breathing can act as an organizing hierarchical principle for neuronal oscillations throughout the brain and detail mechanisms of how cognitive factors impact otherwise automatic neuronal processes during interoceptive attention are revealed.
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Attention-induced variance and noise correlation reduction in macaque V1 is mediated by NMDA receptors.

TL;DR: The results demonstrate that attention improves sensory processing by a variety of mechanisms that are dissociable at the receptor level, and ionotropic glutamatergic receptor activation is required for attention-induced rate variance, noise correlation, and LFP gamma power reduction in macaque V1.
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Attention alters spatial integration in macaque V1 in an eccentricity-dependent manner

TL;DR: In this paper, the authors showed that attention can selectively enhance neuronal responses and exclude external noise, but the neuronal computations that underlie these effects remain unknown, and that noise exclusion might result in altered spatial integration properties.