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Data from: Left cortical specialization for visual letter strings predicts rudimentary knowledge of letter-sound association in preschoolers
负责人:
关键词:
human;children;EEG;cortical specialization;left hemisphere;letter strings;pre-schoolers
DOI:
doi:10.5061/dryad.v54jq
摘要:
ly 1 y of formal schooling and reading acquisition. Here, we recorded scalp electrophysiological (EEG) brain responses in 5-y-old (n = 40) prereaders present
Data from: Learning relevance models for patient cohort retrieval
负责人:
关键词:
Medical Informatics;information storage and retrieval;Search Engine;Machine Learning
DOI:
doi:10.5061/dryad.pq0cs6h
摘要:
as well as electronic health record collections. Specifically, we investigated retrieving (1) neurology-specific patient cohorts from the Temple University Hospital EEG Corpus
Data from: Concurrent visual and motor selection during visual working memory guided action
负责人:
关键词:
Visual working memory;Electroencephalography (EEG);attention;cognitive neuroscience;Action planning
DOI:
doi:10.5061/dryad.sk8rb66
摘要:
Visual working memory enables us to hold onto past sensations in anticipation that these may become relevant for guiding future actions. Yet laboratory tasks have treated visual working memories in isolation from their prospective actions and have focused on the mechanisms of memory retention rather than utilization. To understand how visual memories become used for action, we linked individual memory items to particular actions and independently tracked the neural dynamics of visual and motor selection when memories became used for action. This revealed concurrent visual-motor selection, engaging appropriate visual and motor brain areas at the same time. Thus we show that items in visual working memory can invoke multiple, item-specific, action plans that can be accessed together with the visual representations that guide them, affording fast and precise memory-guided behavior.
Data from: Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings
负责人:
关键词:
resting state;Cross-frequency coupling;Neural dynamics;Neural networks and communication;phase-amplitude coupling;stereo-electroencephalography
DOI:
doi:10.5061/dryad.0k86k80
摘要:
, we identified brain-wide CFC networks at meso-scale resolution from stereo-electroencephalography (SEEG) and at macro-scale resolution from source
Data from: Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans
负责人:
关键词:
Artificial touch;Neuromorphic stimuli;Tactile code
DOI:
doi:10.5061/dryad.630hf
摘要:
the subjects to reliably discriminate spatial coarseness of surfaces as confirmed also by a hybrid neural model of the median nerve. Moreover, MNT-evoked EEG
Data from: The risk of new-onset epilepsy and refractory epilepsy in older adult stroke survivors
负责人:
关键词:
London
DOI:
doi:10.5061/dryad.v8n470f
摘要:
r of epilepsy diagnosis, 24 (11.4%) patients were assessed with EEG and 19 (9.0%) with MRI. In multivariable analysis, younger age and thrombolysis receipt signi
Data from: Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings
负责人:
关键词:
fusiform gyrus;intracerebral recordings;SEEG;lexical representation;word reading
DOI:
doi:10.5061/dryad.6s39h64
摘要:
We report a comprehensive cartography of selective responses to visual letters and words in the human ventral occipito-temporal cortex (VOTC) with direct neural recordings, clarifying key aspects of the neural basis of reading. Intracerebral recordings were performed in a large group of patients (n = 37) presented with visual words inserted periodically in rapid sequences of pseudofonts, nonwords, or pseudowords, enabling classification of responses at three levels of word processing: letter, prelexical, and lexical. While letter selective responses are found in much of the VOTC, with a higher proportion in left posterior regions, prelexical/lexical responses are confined to the middle and anterior sections of the left fusiform gyrus. This region overlaps with and extends more anteriorly than the visual word form area typically identified with functional magnetic resonance imaging. In this region, prelexical responses provide evidence for populations of neurons sensitive to the statistical regularity of letter combinations independently of lexical responses to familiar words. Despite extensive sampling in anterior ventral temporal regions, there is no hierarchical organization between prelexical and lexical responses in the left fusiform gyrus. Overall, distinct word processing levels depend on neural populations that are spatially intermingled rather than organized according to a strict posteroanterior hierarchy in the left VOTC.
Data from: Contingent negative variation during a modified cueing task in simulated driving
负责人:
关键词:
DOI:
doi:10.5061/dryad.3j9kd51cn
摘要:
, in which Electroencephalogram (EEG) signals of 32 participants were recorded to detect the CNV. Simulated car following and pedestrian crossing tasks wer
Data from: Neural structure mapping in human probabilistic reward learning
负责人:
关键词:
Homo Sapiens;Structure learning;Value-based decision making;EEG;representational similarity analysis;Homo Sapiens;neural network;Multivariate decoding
DOI:
doi:10.5061/dryad.7k7s800
摘要:
Humans can learn abstract concepts that describe invariances over relational patterns in data. One such concept, known as magnitude, allows stimuli to be compactly represented on a single dimension (i.e. on a mental line). Here, we measured representations of magnitude in humans by recording neural signals whilst they viewed symbolic numbers. During a subsequent reward-guided learning task, the neural patterns elicited by novel complex visual images reflected their payout probability in a way that suggested they were encoded onto the same mental number line, with 'bad' bandits sharing neural representation with 'small' numbers and 'good' bandits with 'large' numbers. Using neural network simulations, we provide a mechanistic model that explains our findings and shows how structural alignment can promote transfer learning. Our findings suggest that in humans, learning about reward probability is accompanied by structural alignment of value representations with neural codes for the abstract concept of magnitude.

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