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Pion Inc iclabel algorithm v1.6
Iclabel Algorithm V1.6, supplied by Pion Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/iclabel+algorithm+v1%2E6/iclabel+algorithm/pm40375430-182-1-4
Average 90 stars, based on 1 article reviews
iclabel algorithm v1.6 - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Hyposensitivity to losses under risk but hypersensitivity to gains under ambiguity during feedback evaluation.
Article Snippet: Uncertainty is ubiquitous in human life and can be fractioned into risk (known probability distribution) and ambiguity (unknown probability distribution), each with distinct functional correlates.. This event-related potential study examined how contextual valence influences the dissociation between risk and ambiguity during feedback evaluation through the lens of neural dynamics.. We manipulated contextual valence as a gain versus a loss context.

Article Title: EEG Correlates of Auditory Short‐Term Memory and Dissimilarity Perception in Young and Older Adults
Article Snippet: The components were classified according to the ICLabel algorithm (Pion‐Tonachini et al. ).

Article Title: Event-related potentials, heart period, and brain-heart responses during a threat of shock oddball task: Replicability and 6-month-reliability.
Article Snippet: An independent component analysis (ICA) was then conducted with the IClabel algorithm (Pion-Tonachini et al., 2019).

Article Title: EEG Correlates of Auditory Short-Term Memory and Dissimilarity Perception in Young and Older Adults.
Article Snippet: The components were classified according to the ICLabel algorithm (Pion- Tonachini et al. 2019).

Article Title: From beeps to streets: unveiling sensory input and relevance across auditory contexts
Article Snippet: For component rejection, we applied the ICLabel algorithm (Pion-Tonachini et al., ) and rejected components with a probability ≥ 80% of being an artifact of any class (i.e.,: eye, muscle, heart, other).

Article Title: Age-Related Differences in Neural Correlates of Auditory Spatial Change Detection in Real and Virtual Environments.
Article Snippet: The ICLabel algorithm (v1.6; Pion- Tonachini et al. 2019) was then applied, and the obtained results and IC weights were transferred to the original EEG data.

Article Title: Age‐Related Differences in Neural Correlates of Auditory Spatial Change Detection in Real and Virtual Environments
Article Snippet: The ICLabel algorithm (v1.6; Pion‐Tonachini et al. ) was then applied, and the obtained results and IC weights were transferred to the original EEG data.

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Article Title: In-vehicle multi-sensory experiences can reduce mental stress.
Article Snippet: Daily stress is a widespread and growing concern that impacts both mental and physical well-being.. Although many evidence-based strategies exist, including yoga, mindfulness, cognitive-behavioral techniques, and sensory approaches such as scent, massage, auditory, and visual stimulation, they often require time, training, or specialized environments, which limits their accessibility in everyday life.. This study explores an alternative, practical approach by evaluating a multi-sensory in-vehicle relaxation system designed for use while the vehicle is stationary.



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Pion Inc iclabel algorithm v1.6
Iclabel Algorithm V1.6, supplied by Pion Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/iclabel+algorithm+v1%2E6/iclabel+algorithm/pm40375430-182-1-4
Average 90 stars, based on 1 article reviews
iclabel algorithm v1.6 - by Bioz Stars, 2026-10
90/100 stars
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