Literature DB >> 24553944

Neural dynamics underlying target detection in the human brain.

Arjun K Bansal1, Radhika Madhavan, Yigal Agam, Alexandra Golby, Joseph R Madsen, Gabriel Kreiman.   

Abstract

Sensory signals must be interpreted in the context of goals and tasks. To detect a target in an image, the brain compares input signals and goals to elicit the correct behavior. We examined how target detection modulates visual recognition signals by recording intracranial field potential responses from 776 electrodes in 10 epileptic human subjects. We observed reliable differences in the physiological responses to stimuli when a cued target was present versus absent. Goal-related modulation was particularly strong in the inferior temporal and fusiform gyri, two areas important for object recognition. Target modulation started after 250 ms post stimulus, considerably after the onset of visual recognition signals. While broadband signals exhibited increased or decreased power, gamma frequency power showed predominantly increases during target presence. These observations support models where task goals interact with sensory inputs via top-down signals that influence the highest echelons of visual processing after the onset of selective responses.

Entities:  

Keywords:  attentional modulation; cognitive neuroscience; extrastriate cortex; human neurophysiology; target detection; visual recognition

Mesh:

Year:  2014        PMID: 24553944      PMCID: PMC3931508          DOI: 10.1523/JNEUROSCI.3781-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  77 in total

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Authors:  Costas A Anastassiou; Rodrigo Perin; Henry Markram; Christof Koch
Journal:  Nat Neurosci       Date:  2011-01-16       Impact factor: 24.884

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Authors:  Alexander Maier; Geoffrey K Adams; Christopher Aura; David A Leopold
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Authors:  Jeremy R Manning; Joshua Jacobs; Itzhak Fried; Michael J Kahana
Journal:  J Neurosci       Date:  2009-10-28       Impact factor: 6.167

10.  Spatial spread of the local field potential and its laminar variation in visual cortex.

Authors:  Dajun Xing; Chun-I Yeh; Robert M Shapley
Journal:  J Neurosci       Date:  2009-09-16       Impact factor: 6.167

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  8 in total

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5.  Correlated activity supports efficient cortical processing.

Authors:  Chou P Hung; Ding Cui; Yueh-Peng Chen; Chia-Pei Lin; Matthew R Levine
Journal:  Front Comput Neurosci       Date:  2015-01-06       Impact factor: 2.380

6.  Differential activation of human core, non-core and auditory-related cortex during speech categorization tasks as revealed by intracranial recordings.

Authors:  Mitchell Steinschneider; Kirill V Nourski; Ariane E Rhone; Hiroto Kawasaki; Hiroyuki Oya; Matthew A Howard
Journal:  Front Neurosci       Date:  2014-08-11       Impact factor: 4.677

7.  Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks.

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8.  Network Anisotropy Trumps Noise for Efficient Object Coding in Macaque Inferior Temporal Cortex.

Authors:  Yueh-Peng Chen; Chia-Pei Lin; Yu-Chun Hsu; Chou P Hung
Journal:  J Neurosci       Date:  2015-07-08       Impact factor: 6.167

  8 in total

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