Model Based Analysis of fMRI-Data: Applying the sSoTS Framework to the Neural Basic of Preview Search

@inproceedings{Mavritsaki2008ModelBA,
  title={Model Based Analysis of fMRI-Data: Applying the sSoTS Framework to the Neural Basic of Preview Search},
  author={Eirini Mavritsaki and Harriet A. Allen and Glyn W. Humphreys},
  booktitle={WAPCV},
  year={2008}
}
The current work aims to unveil the neural circuits underlying visual search over time and space by using a model-based analysis of behavioural and fMRI data. It has been suggested by Watson and Humphreys [31] that the prioritization of new stimuli presented in our visual field can be helped by the active ignoring of old items, a process they termed visual marking. Studies using fMRI link the marking process with activation in superior parietal areas and the precuneus [4,18,27,26]. Marking has… 
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Citation Type

Decomposing the neural mechanisms of visual search through model-based analysis of fMRI: Top-down excitation, active ignoring and the use of saliency by the right TPJ
Using biologically plausible neural models to specify the functional and neural mechanisms of visual search.
Active Ignoring in Early Visual Cortex
TLDR
This work measured neural activity relating to successfully ignoring distracters and found increases in both the precuneus and primary visual cortex during preparation to ignore distracters, consistent with the proposal that actively excluding distractions has two components.

References

SHOWING 1-10 OF 41 REFERENCES
Suppressive effects in visual search: A neurocomputational analysis of preview search
Prioritizing new over old: An fMRI study of the preview search task
TLDR
Using functional magnetic resonance imaging, findings showing the involvement of superior and inferior parietal areas in the preview task when compared to both a relatively easy single‐ set search task and a more effortful full‐set search task are replicated and extended.
Feature-based attention in human visual cortex: simulation of fMRI data
Parieto–Occipital Areas Involved in Efficient Filtering in Search: A Time Course Analysis of Visual Marking using Behavioural and Functional Imaging Procedures
TLDR
It is shown that regions of parieto–occipital cortex are selectively activated in a preview search condition relative to a detection baseline and these regions also increase in activation as the preview interval increases (and search then becomes easier), consistent with them modulating the parallel filtering of distractors from targets in spatial search.
A computational model of visual marking using an inter-connected network of spiking neurons: The spiking search over time & space model (sSoTS)
Integrating fMRI and single-cell data of visual working memory
Separating distractor rejection and target detection in posterior parietal cortex—an event-related fMRI study of visual marking
Spatiotemporal segregation in visual search: evidence from parietal lesions.
TLDR
The mechanisms underlying segmentation and selection of visual stimuli over time were investigated in patients with posterior parietal damage and the role of spatiotemporal segmentation cues in preview search and the parietal lobe in the roles of these cues to prioritize search of new stimuli is emphasized.
Top-down selective visual attention: A neurodynamical approach
TLDR
It is demonstrated that it is plausible to build a neural system for visual search, which works across the visual field in parallel, but, due to the intrinsic dynamics of the system, resembles apparent modes of visual attention, namely the serial focal and the parallel spread over the space mode.
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks
TLDR
This paper demonstrates that this relatively simple extension of SAIM is cable of simulating the experimental findings by Chun and colleagues, and develops a mechanism for contextual learning (CL-SAIM), based on a Hop field pattern memory with asymmetric weights.
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