Cognitive Neuroscience & AI
Unlocking Multimodal Data Insights with MEEDAV
MEEDAV pioneers a web-based, synchronized visualization platform for EEG, eye-tracking, and audio data, addressing critical challenges in psycholinguistic and cognitive research.
Key Impact Areas of MEEDAV
MEEDAV's innovative approach offers significant benefits for researchers and practitioners in cognitive science and AI-driven data analysis.
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Faster Data Exploration
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Improved Cross-Modal Correlation
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Real-time Processing Latency
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
MEEDAV's modular architecture streamlines the flow from raw data to interactive insights, ensuring efficient and coherent analysis.
Enterprise Process Flow
Data Manipulation
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Data Processing
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Interactive Visualization
All data modalities are uniformly resampled to a 256 Hz grid, enabling precise temporal alignment and synchronization for robust analysis.
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Sampling Grid for Modalities
A comparative analysis highlights MEEDAV's distinct advantages in accessibility, automatic preprocessing, and comprehensive multimodal support.
| Feature | MEEDAV | EYE-EEG | OpenSync |
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| Web-based Interface |
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| EEG, ET, Audio Sync |
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| ICA Denoising (Auto) |
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| Gaze Heatmaps |
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| Cross-modal Correlations |
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| Local/GitHub Data |
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MEEDAV's initial application to the EMMT dataset showcases its ability to process and visualize real-world, multimodal psycholinguistic data effectively.
EMMT Dataset Integration
MEEDAV was initially developed for the Eyetracked Multi-Modal Translation (EMMT) corpus, supporting four-channel EEG from a Muse 2 headband. This direct integration demonstrates MEEDAV's capability to handle complex psycholinguistic datasets and adapt to specific data structures.
Future iterations will explore migrating from Plotly to Altair-Vega Lite to enhance rendering efficiency and scalability, addressing current frontend bottlenecks.
Altair
Next-Gen Visualization Framework
Quantify Your Research Efficiency Gains
Estimate the time and cost savings by leveraging AI-powered multimodal data analysis in your cognitive neuroscience or psycholinguistics research.
Annual Savings Potential
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Hours Reclaimed Annually
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MEEDAV Development Roadmap
Our phased approach to enhancing MEEDAV's capabilities, from wider data format support to advanced analytical features.
Enhanced Data Ingestion
Support for additional EEG file formats (FIF, Artemis123) and configurable file path mappings for broader dataset compatibility.
Frontend Optimization
Migration to Altair-Vega Lite for improved rendering performance and scalability across various devices.
Advanced Analytical Features
Integration of more sophisticated statistical tools for cross-modal analysis and customizable visualization options.
Ready to Transform Your Research?
Discover how MEEDAV can accelerate your insights into cognitive processes. Schedule a personalized consultation to explore its potential for your specific projects.
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