Neural Correlates of Perceptual Grouping in Brain
Gupta, S.; Gandhi, T. K.
Show abstract
Humans are proficient in detecting even subtle regularities in their sensory inputs. In the specific context of vision, one manifestation of this ability is the perception of structures embedded in noisy backgrounds. Here we use electrophysiology to explore the neural correlates of this proficiency. Observers underwent EEG recordings while being presented with random-dot displays. A few dots in some of the displays were arranged in a line. The results reveal that the two kinds of displays, those with and without the embedded lines, though identical in low-level attributes such as mean luminance and spatial frequency distribution, elicit markedly different neural responses. We find that the first divergence in the ERPs corresponding to these two stimulus classes occurs around 100 milliseconds. These differences are evident in occipital sensors suggesting that the perceptual distinction between structured and non-structured stimuli is accomplished in the very early cortical stages of visual processing. The short latency and early locus of the ERP divergence point to a largely feedforward computation underlying this feat of perceptual organization. The functional connectivity for difference between the two events also supports the ERP findings and thus, exhibits relation between synchrony time-course and ERP dynamics.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- EEG in game user analysis: A framework for expertise classification during gameplay 96%
- Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments 96%
- Filter bank common spatial pattern and envelope-based features in multimodal EEG-fTCD brain-computer interfaces 94%
Similar papers in this journal
- A Transfer Entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective 96%
- Evaluating three different adaptive decomposition methods for EEG signal seizure detection and classification 94%
- Subject, session and task effects on power, connectivity and network centrality: a source-based EEG study 94%
Similar papers in this journal
- Decoding Numeracy and Literacy in the Human Brain: Insights from MEG and MVPA 93%
- The Relationship between Stability of Interpersonal Coordination and Inter-Brain EEG Synchronization during Anti-phase Tapping 93%
- Automated methodology for optimal selection of the minimum electrode subset for accurate EEG source estimation based on Genetic Algorithm optimization 93%
Similar papers in this journal
- CluSem: Accurate Clustering-based Ensemble Methodto Predict Motor Imagery Tasks from Multi-channelEEG Data 95%
- Time series analysis of trial-to-trial variability of MEG power spectrum during rest state, unattented listening and frequency-modulated tones classification 95%
- A Novel Dual And Triple RSVP Paradigm For P300 Speller 94%
Similar papers in this journal
- The different brain areas occupied for integrating information of hierarchical linguistic units: a study based on EEG and TMS 94%
- Brain and grammar: revealing electrophysiological basic structures with competing statistical models 93%
- Statistical learning in patients in the minimally conscious state 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.