added gui elements and did some edits

GUI/Bio-Silicon Bidirectional Synergetic Learning GUI

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+Bio-Silicon Bidirectional Synergetic Learning GUI
+
+

prototyping/ADC_pcm1802_breakoutboard/documentation

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+pcm1802 documentation
+
+https://raspberrypi.stackexchange.com/questions/107778/how-to-use-rpi-python-to-control-pcm1802-24-bit-hifi-stereo-adc-and-max4466-micr
+https://www.pjrc.com/pcm1802-breakout-board-needs-hack/

prototyping/DAC_cs4344_breakoutboard/documentation

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+cs4344 documentation
+
+https://store.siqma.com/cs4344-dac-module.html

prototyping/amp_ad620_breakoutboard/documentation

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+AD620 documentation
+
+https://www.electroschematics.com/module/
+https://protosupplies.com/product/ad620-instrumentation-amplifier-module/

prototyping/fpga_cycloneIV_board/documentation

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+cycloneIV documentation
+
+https://www.intel.com/content/www/us/en/docs/programmable/767845/current/cyclone-iv-featured-documentation-quick.html

prototyping/previous designs/Bio-Silicon Bidirectional Synergetic Learning GUI

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+Bio-Silicon Bidirectional Synergetic Learning GUI
+
+GUI Elements and Data Presentation:
+
+    Live Data Visualization:
+        Neural Activity Maps: Display real-time brain activity using 3D brain maps or 2D electrode maps, highlighting active regions.
+        Signal Waveforms: Show live EEG or neural signal waveforms with options to zoom in on specific channels.
+        Data Metrics: Present key real-time metrics like signal strength, frequency bands, and synchronization levels.
+    Live Data Visualization Elements:
+
+    Quick-Render Neural Visualizations:
+        Simplified Brain Activity Heatmaps: Use heatmaps that render quickly to show neural activity levels, ensuring minimal processing delay.
+        Real-Time Signal Graphs: Streamlined graphs showing real-time neural signal patterns with minimalistic design for faster rendering.
+
+    Cyberpunk-Style Data Displays:
+        Neon Accents: Utilize neon accents for key data points in graphs or maps to align with the cyberpunk theme.
+        Abstract Data Art: Convert some of the neural data into abstract, cyberpunk-inspired art forms that change in real-time, providing a visually engaging way to represent complex data.
+
+    Biopunk Elements:
+        Organic Textures: Incorporate organic, bio-inspired textures in the background or framing of data panels.
+        Dynamic Organic Forms: Use moving, dynamic forms that mimic biological structures for background animations or data flow visualization.
+
+    Historic Data Access:
+        Timeline Control: Allow users to navigate through historical data with a timeline slider.
+        Session Summaries: Provide summaries of past sessions, including peak activities, pattern recognition results, and anomalies detected.
+        Comparative Analysis: Tools to compare different sessions or timeframes side by side.
+
+    System Status and Control:
+        Device Connectivity: Indicators for the status of the MEA, ADCs, DACs, and FPGA connections.
+        Stimulation Controls: Interface for controlling and adjusting the stimulation parameters sent to the brain.
+        Signal Processing Options: Settings for adjusting filters, amplification, and other signal processing parameters.
+
+    Notifications and Alerts:
+        Use dynamic alerts for critical system statuses, signal abnormalities, or successful pattern recognitions.
+
+    AI Elements Integration:
+
+    Neural Signal to Action Mapping:
+        Interactive Neural Maps: Display how different neural signals correlate with specific actions or responses. Use AI to highlight and dynamically update these correlations in real-time.
+        Action Prediction Panel: A dedicated section showing AI predictions of potential actions based on current neural signals, with confidence levels.
+
+    Environment to Neural Signal Mapping:
+        Environmental Influence Visualization: Show how different environmental factors (like stimuli from the game or lab settings) impact neural activity. Use color coding or dynamic lines connecting the environmental factors to specific brain regions.
+        Real-Time Feedback Loop: Display the interaction between environmental changes and the brain’s response, highlighting the AI’s role in adapting stimuli for optimized outcomes.
+
+    Language Optimization and Learning:
+        Symbolic Language Panel: Visualize the ongoing optimization of the symbolic language used for brain-computer communication. Show how the AI adapts this language over time for more efficient communication.
+        Learning Progress Tracker: Graphs or meters showing the AI’s progress in understanding and interpreting neural signals, and the efficacy of communication over time.
+
+
+
+
+
+
+
+
+UI Design Aesthetics:
+
+    Color Scheme:
+        Dominant dark backgrounds with contrasting colors like deep blues, purples, and muted greens for a cyberpunk feel.
+        Use of red as an accent color for alerts or important controls.
+
+    Typography:
+        Modern, sans-serif fonts for readability, with some elements in stylized fonts for the cyberpunk look.
+
+    Graphical Elements:
+        Incorporate biopunk motifs like neural networks, brain-like textures, and abstract organic forms.
+        Use sleek, minimalistic icons and controls for a modern touch.
+
+    Animations and Transitions:
+        Smooth and subtle animations for transitioning between different data views or when updating live data.
+        Use of neon-like glow effects selectively for highlighting key information or controls.
+
+User Experience (UX):
+
+    Intuitive Navigation:
+        Clear and intuitive layout to ensure easy navigation through different sections of the GUI.
+        Use of collapsible menus and panels to keep the interface uncluttered.
+
+    Responsive Design:
+        Ensure the GUI is responsive and adapts well to different screen sizes and devices.
+        Touch-friendly controls for tablet or touchscreen use.
+
+    Customization:
+        Allow users to customize the layout, select which data to display, and set preferences for alerts and notifications.
+
+    Help and Documentation:
+        Integrated help sections with easy-to-understand guides on how to use the system.
+        Tooltips and informative modals for first-time users.
+
+    Feedback Mechanisms:
+        Incorporate feedback mechanisms for users to report issues or suggest improvements.
+
+    Security and Privacy:
+        Implement robust security measures to protect sensitive neural data.
+
+    Interactive AI Insights:
+        Allow users to interact with AI-generated insights, explore different hypotheses, and see the effects of different stimuli or actions predicted by AI.
+
+    Customizable Visualization Settings:
+        Enable users to choose which data visualizations to display, adjust the complexity for quicker or more detailed rendering, and select themes that align with their preferences.
+
+    Tooltip Explanations:
+        Provide tooltips or hover-over explanations for AI elements and visualizations, helping users understand what they are seeing and how it relates to the neural data and AI processes.
+
+    Real-Time Rendering Performance Indicators:
+        Include indicators showing the performance of real-time renderings, ensuring users are aware of any delays or processing issues.