The temporal flexibility of attentional selection in the visual cortex

2005 ◽  
Vol 15 (2) ◽  
pp. 183-187 ◽  
Author(s):  
Jens-Max Hopf ◽  
Mircea Ariel Schoenfeld ◽  
Hans-Jochen Heinze
Keyword(s):  
Visual Cortex ◽  
Attentional Selection ◽  
Temporal Flexibility

scholarly journals Object-based attentional selection emerges early in visual cortex for object percepts of varying strength

2017 ◽  
Vol 17 (10) ◽  
pp. 1333
Author(s):  
Shahd Al-Janabi ◽  
Nofar Strommer-Davidovich ◽  
Shai Gabay ◽  
Adam Greenberg
Keyword(s):  
Visual Cortex ◽  
Attentional Selection ◽  
Object Based

scholarly journals Multiple Objects of Attentional Selection in Human Visual Cortex

2016 ◽  
Vol 16 (12) ◽  
pp. 603
Author(s):  
Xilin Zhang ◽  
Nicole Mlynaryk ◽  
Shruti Japee ◽  
Leslie Ungerleider
Keyword(s):  
Visual Cortex ◽  
Attentional Selection ◽  
Multiple Objects ◽  
Human Visual Cortex

scholarly journals Multiple Spotlights of Attentional Selection in Human Visual Cortex

Neuron ◽  
2004 ◽  
Vol 42 (4) ◽  
pp. 677-686 ◽  
Author(s):  
Stephanie A McMains ◽  
David C Somers
Keyword(s):  
Visual Cortex ◽  
Attentional Selection ◽  
Human Visual Cortex

scholarly journals Priming of Attentional Selection in Macaque Visual Cortex: Feature-Based Facilitation and Location-Based Inhibition of Return

eNeuro ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. ENEURO.0466-19.2020 ◽  
Author(s):  
Jacob A. Westerberg ◽  
Alexander Maier ◽  
Jeffrey D. Schall
Keyword(s):  
Visual Cortex ◽  
Inhibition Of Return ◽  
Attentional Selection ◽  
Feature Based

scholarly journals A neural pooling rule for attentional selection in human visual cortex

2010 ◽  
Vol 10 (7) ◽  
pp. 108-108
Author(s):  
F. Pestilli ◽  
M. Carrasco ◽  
D. Heeger ◽  
J. Gardner
Keyword(s):  
Visual Cortex ◽  
Attentional Selection ◽  
Human Visual Cortex

scholarly journals Training qualitatively shifts the neural mechanisms that support attentional selection

2016 ◽  
Author(s):  
Sirawaj Itthipuripat ◽  
Kexin Cha ◽  
Anna Byers ◽  
John T. Serences
Keyword(s):  
Visual Cortex ◽  
Sensory Information ◽  
Visuospatial Attention ◽  
Attentional Selection ◽  
Neural Mechanisms ◽  
Model Systems ◽  
Visual Responses ◽  
Attention Task ◽  
Neural Noise ◽  
Sensory Evoked

AbstractAttention supports the selection of relevant sensory information from competing irrelevant sensory information. This selective processing is thought to be supported via the attentional gain amplification of sensory responses evoked by attended compared to unattended stimuli. However, recent studies in highly trained subjects suggest that attentional gain plays a relatively modest role and that other types of neural modulations – such as a reduction in neural noise – better explain attention-related changes in behavior. We hypothesized that the amount of training may alter neural mechanisms that support attentional selection in visual cortex. To test this hypothesis, we investigated the influence of training on attentional modulations of stimulus-evoked visual responses by recording electroencephalography (EEG) from humans performing a selective visuospatial attention task over the course of one month. Early in training, visuospatial attention induced a robust attentional gain amplification of sensory-evoked responses in contralateral visual cortex that emerged within ~100ms after stimulus onset, and a quantitative model based on signal detection theory (SDT) successfully linked this attentional gain amplification to attention-related improvements in behavior. However, after training, this attentional gain amplification of visual responses was almost completely eliminated and modeling suggested that noise reduction was required to link the amplitude of visual responses with attentional modulations of behavior. These findings suggest that the neural mechanisms supporting selective attention can change as a function of training and expertise, and help to bridge different results from studies carried out in different model systems that require substantially different amount of training.

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