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Open AccessJournal ArticleDOI

Three-stage processing of category and variation information by entangled interactive mechanisms of peri-occipital and peri-frontal cortices.

Hamid Karimi-Rouzbahani
- 15 Aug 2018 - 
- Vol. 8, Iss: 1, pp 12213-12213
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TLDR
These findings, while promoting the role of prefrontal areas in object recognition, extend their contributions from active recognition, in which peri-frontal toperi-occipital pathways are activated by higher cognitive processes, to the general sensory-driven object and variation processing.
Abstract
Object recognition has been a central question in human vision research. The general consensus is that the ventral and dorsal visual streams are the major processing pathways undertaking objects’ category and variation processing. This overlooks mounting evidence supporting the role of peri-frontal areas in category processing. Yet, many aspects of visual processing in peri-frontal areas have remained unattended including whether these areas play role only during active recognition and whether they interact with lower visual areas or process information independently. To address these questions, subjects were presented with a set of variation-controlled object images while their EEG were recorded. Considerable amounts of category and variation information were decodable from occipital, parietal, temporal and prefrontal electrodes. Using information-selectivity indices, phase and Granger causality analyses, three processing stages were identified showing distinct directions of information transaction between peri-frontal and peri-occipital areas suggesting their parallel yet interactive role in visual processing. A brain-plausible model supported the possibility of interactive mechanisms in peri-occipital and peri-frontal areas. These findings, while promoting the role of prefrontal areas in object recognition, extend their contributions from active recognition, in which peri-frontal to peri-occipital pathways are activated by higher cognitive processes, to the general sensory-driven object and variation processing.

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Perceptual difficulty modulates the direction of information flow in familiar face recognition.

TL;DR: In this paper, the authors developed a novel informational connectivity method to test whether peri-frontal brain areas contribute to familiar face recognition and found that feed-forward flow dominates for the most familiar faces and top-down flow was only dominant when sensory evidence was insufficient to support face recognition.
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Perceptual difficulty modulates the direction of information flow in familiar face recognition

TL;DR: This work developed a novel informational connectivity method and demonstrated that perceptual difficulty and the level of familiarity influence the neural representation of familiar faces and the degree to which peri-frontal neural networks contribute to familiar face recognition.
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Spatiotemporal analysis of category and target-related information processing in the brain during object detection.

TL;DR: An EEG object detection experiment showed that the prefrontal area initiated the processing of target‐related information and this information was transferred to posterior brain areas during stimulus presentation probably to facilitate object detection and to direct the decision‐making procedure.
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Spatial and feature-selective attention have distinct effects on population-level tuning

TL;DR: Using multivariate decoding of MEG data, it is found that spatial and feature-selective attention interacted multiplicatively to enhance object representation and were Granger-caused by coding in frontal cortices earlier in time.
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Neural signatures of vigilance decrements predict behavioural errors before they occur.

TL;DR: In this paper, the authors designed a multiple-object monitoring paradigm to examine how the neural representation of information varied with target frequency and time performing the task and found that behavioural performance decreased over time for the rare target (monitoring) condition, but not for a frequent target (active) condition.
References
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Proceedings Article

ImageNet Classification with Deep Convolutional Neural Networks

TL;DR: The state-of-the-art performance of CNNs was achieved by Deep Convolutional Neural Networks (DCNNs) as discussed by the authors, which consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way softmax.
Journal ArticleDOI

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI

The Psychophysics Toolbox.

David H. Brainard
- 01 Jan 1997 - 
TL;DR: The Psychophysics Toolbox is a software package that supports visual psychophysics and its routines provide an interface between a high-level interpreted language and the video display hardware.
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Distributed Hierarchical Processing in the Primate Cerebral Cortex

TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
Journal ArticleDOI

Speed of processing in the human visual system.

TL;DR: The visual processing needed to perform this highly demanding task can be achieved in under 150 ms, and ERP analysis revealed a frontal negativity specific to no-go trials that develops roughly 150 ms after stimulus onset.
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