ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Resolving the neural dynamics of visual and auditory scene processing in the human brain: a methodological approach.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Sensory and Perceptual Decisional Processes Underlying the Perception of Reverberant Auditory Environments.eNeuro · 2024Article
- Decoding the temporal dynamics of affective scene processing.NeuroImage · 2022Article
- Canonical template tracking: Measuring the activation state of specific neural representations.Frontiers in neuroimaging · 2022Review
- Review
- Decoding the processing stages of mental arithmetic with magnetoencephalography.Cortex; a journal devoted to the study of the nervous system and behavior · 2019Article
- Social behaviour as an emergent property of embodied curiosity: a robotics perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- To integrate or not to integrate: Temporal dynamics of hierarchical Bayesian causal inference.PLoS biology · 2019Article
- Prospective motor control obeys to idiosyncratic strategies in autism.Scientific reports · 2018Article
- Modality-Independent Coding of Scene Categories in Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and Training.Frontiers in neuroinformatics · 2018Article
- Modelling auditory attention.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- A roadmap for the study of conscious audition and its neural basis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Auditory and visual scene analysis: an overview.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Article
- Cochlea to categories: The spatiotemporal dynamics of semantic auditory representations.Cognitive neuropsychologyArticle
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
In natural environments, visual and auditory stimulation elicit responses across a large set of brain regions in a fraction of a second, yielding representations of the multimodal scene and its properties. The rapid and complex neural dynamics underlying visual and auditory information processing pose major challenges to human cognitive neuroscience. Brain signals measured non-invasively are inherently noisy, the format of neural representations is unknown, and transformations between representations are complex and often nonlinear. Further, no single non-invasive brain measurement technique provides a spatio-temporally integrated view. In this opinion piece, we argue that progress can be made by a concerted effort based on three pillars of recent methodological development: (i) sensitive analysis techniques such as decoding and cross-classification, (ii) complex computational modelling using models such as deep neural networks, and (iii) integration across imaging methods (magnetoencephalography/electroencephalography, functional magnetic resonance imaging) and models, e.g. using representational similarity analysis. We showcase two recent efforts that have been undertaken in this spirit and provide novel results about visual and auditory scene analysis. Finally, we discuss the limits of this perspective and sketch a concrete roadmap for future research.This article is part of the themed issue 'Auditory and visual scene analysis'.
Indexed as
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.