ArticleCognitive neurodynamics2007
A neural network model of attention-modulated neurodynamics.
Article in Cognitive neurodynamics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Route searching based on neural networks and heuristic reinforcement learning.Cognitive neurodynamics · 2017Article
- Selectivity of stimulus induced responses in cultured hippocampal networks on microelectrode arrays.Cognitive neurodynamics · 2016Article
- Saliency computation via whitened frequency band selection.Cognitive neurodynamics · 2016Article
- Predicting the eye fixation locations in the gray scale images in the visual scenes with different semantic contents.Cognitive neurodynamics · 2016Article
- Neural network modelling of the influence of channelopathies on reflex visual attention.Cognitive neurodynamics · 2016Article
- Evaluation of local field potential signals in decoding of visual attention.Cognitive neurodynamics · 2015Article
- Synchronization of neuron population subject to steady DC electric field induced by magnetic stimulation.Cognitive neurodynamics · 2013Article
- Airport detection in remote sensing images: a method based on saliency map.Cognitive neurodynamics · 2013Article
- Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors.Cognitive neurodynamics · 2012Article
- Bottom-up attention: pulsed PCA transform and pulsed cosine transform.Cognitive neurodynamics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visual attention appears to modulate cortical neurodynamics and synchronization through various cholinergic mechanisms. In order to study these mechanisms, we have developed a neural network model of visual cortex area V4, based on psychophysical, anatomical and physiological data. With this model, we want to link selective visual information processing to neural circuits within V4, bottom-up sensory input pathways, top-down attention input pathways, and to cholinergic modulation from the prefrontal lobe. We investigate cellular and network mechanisms underlying some recent analytical results from visual attention experimental data. Our model can reproduce the experimental findings that attention to a stimulus causes increased gamma-frequency synchronization in the superficial layers. Computer simulations and STA power analysis also demonstrate different effects of the different cholinergic attention modulation action mechanisms.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.