ArticleScientific reports2018
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
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- Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.Scientific reports · 2023Article
- Influence of language on perception and concept formation in a brain-constrained deep neural network model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Neural manifold analysis of brain circuit dynamics in health and disease.Journal of computational neuroscience · 2023Review
- Classification at the accuracy limit: facing the problem of data ambiguity.Scientific reports · 2022Article
- Systems Medicine Approach for Tinnitus with Comorbid Disorders.Nutrients · 2022Article
- Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.Scientific reports · 2022Article
- Neural network based successor representations to form cognitive maps of space and language.Scientific reports · 2022Article
- Neural correlates of linguistic collocations during continuous speech perception.Frontiers in psychology · 2022Article
- Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages.Communications biology · 2021Article
- Too Blind to See the Elephant? Why Neuroscientists Ought to Be Interested in Tinnitus.Journal of the Association for Research in Otolaryngology : JARO · 2021Review
- Analysis and visualization of sleep stages based on deep neural networks.Neurobiology of sleep and circadian rhythms · 2021Article
- Objective Recognition of Tinnitus Location Using Electroencephalography Connectivity Features.Frontiers in neuroscience · 2021Article
- Will We Ever Have Conscious Machines?Frontiers in computational neuroscience · 2020Article
- EEG Biomarkers Related With the Functional State of Stroke Patients.Frontiers in neuroscience · 2020Article
- Review
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Authors and funding
9 authors.
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Abstract
Information in the cortex is encoded in spatiotemporal patterns of neuronal activity, but the exact nature of that code still remains elusive. While onset responses to simple stimuli are associated with specific loci in cortical sensory maps, it is completely unclear how the information about a sustained stimulus is encoded that is perceived for minutes or even longer, when discharge rates have decayed back to spontaneous levels. Using a newly developed statistical approach (multidimensional cluster statistics (MCS)) that allows for a comparison of clusters of data points in n-dimensional space, we here demonstrate that the information about long-lasting stimuli is encoded in the ongoing spatiotemporal activity patterns in sensory cortex. We successfully apply MCS to multichannel local field potential recordings in different rodent models and sensory modalities, as well as to human MEG and EEG data, demonstrating its universal applicability. MCS thus indicates novel ways for the development of powerful read-out algorithms of spatiotemporal brain activity that may be implemented in innovative brain-computer interfaces (BCI).
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