Add NeuroLog EEG acquisition app with Cortex client, GUI, recorder, and exporters

[K-Rutuparna1087]

Motivation

• Provide a modular desktop application for real-time EEG acquisition from Emotiv headsets via the Cortex WebSocket API (wss://localhost:6868).
• Support secure authentication with clientId/clientSecret, live plotting, session metadata, manual markers, and standard exports for analysis workflows.
• Organize the code for clarity and maintainability so the app can be extended or reused in experiments.

Description

• Scaffolded a neuro_log package with the following modules: neuro_log/app.py (entry), neuro_log/api.py (Cortex WebSocket JSON-RPC client), neuro_log/gui.py (PyQt6 GUI + live plotting), neuro_log/recorder.py (recording buffer and exporters), and neuro_log/utils.py (helpers and env-based config); see README.md for usage notes.
• Implemented the Cortex flow in CortexApiClient: connect to wss://localhost:6868, perform requestAccess/authorize, queryHeadsets, createSession, subscribe to eeg/dev, and injectMarker for manual markers, with callback hooks on_status, on_eeg, and on_battery for GUI integration.
• Built a PyQt6 GUI (NeuroLogMainWindow) with live plot (matplotlib), connection/status/sampling/battery labels, Connect, Start Recording, Stop Recording controls, session metadata inputs, and manual marker inputs that call create_marker and store local markers.
• Added EEGRecorder to accumulate samples and markers and export on stop to CSV (timestamp + channels), NumPy .npy (shape (n_samples, n_channels)), MNE .fif (annotations + subject/description), and a markers CSV; filenames are sanitized and written to recordings/.
• Added requirements.txt listing runtime dependencies (PyQt6, websocket-client, matplotlib, numpy, pandas, mne) and an extended README.md with installation, credentials (EMOTIV_CLIENT_ID / EMOTIV_CLIENT_SECRET), headset connection, and run/export instructions.

Testing

• Compiled the package to verify syntax with python -m compileall neuro_log, which completed successfully.

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Codex Task