User Guide
Product Name: Cognitive Language Scanner (CLS)
Product Type/Code: CLS–V1.0
Trade Name: NeuroLingua Systems™
Document Type: User Manual for Application Software Prototype
Version: 1.0
Date: November 2025
Purpose of Manual
This user manual provides comprehensive guidance on the installation, configuration, and operation of the Cognitive Language Scanner (CLS) application prototype. The CLS is designed to assess how individuals process language in real time, integrating linguistic analytics, eye-tracking, and neuroimaging data for advanced cognitive research.
This manual is intended for:
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Neuroscientists conducting cognitive or psycholinguistic studies
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Research technicians operating neuroimaging
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Eye-tracking equipment;•Software engineers
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Developers involved in prototype testing
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Graduate students and assistants in linguistics and neuroscience labs
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Scope
This manual covers all procedures from hardware setup to software operation and data handling. It assumes users have a working knowledge of neuroimaging principles and data acquisition technologies such as EEG or fNIRS.

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General Safety Prescriptions
To ensure the safe and ethical use of the Cognitive Language Scanner, the following tasks must be completed:
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Operate the application only with approved EEG, fNIRS, and eye-tracking devices.
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Ensure all participants provide informed consent before data collection.
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Verify all sensors are properly sterilized before and after use.
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Avoid exposing connected devices to magnetic or electromagnetic interference.
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Use only encrypted storage drives for saving neuroimaging data.
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Do not operate the system without proper cooling or ventilation.
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Ensure compliance with institutional review board (IRB) standards, HIPAA, and GDPR data protection regulations.

Technical Specifications
Processor
​Intel Core i9 or AMD Ryzen 9 (12+ cores)​​
Storage
NVMe SSD, 2 TB (minimum)
GPU
NVIDIA RTX 4070 or higher
RAM
Display
1080p or 4K, 144 Hz refresh rate
RAM
​Minimum 32 GB; recommended 64 GB
Peripherals
USB-C eye-tracker, 1080p/4K camera, EEG/fNIRS sensors