NeuroDecipher: Pre-Conscious Decision Insight Tool NeuroDecipher stands as a cutting-edge Python software tailored to dissect the intricacies of the subconscious decision-making process. Utilizing EEG data from the Muse device, it ventures beyond conscious cognition to discern potential decisional precursors before they emerge into awareness. Dataset Components: - Download our Dataset here: https://doi.org/10.5281/zenodo.8429740 MUSE Folder: Timestamp: Detailed timestamp capturing the exact millisecond of data collection. Brain Wave Metrics: Neurological insights derived from the spectrum of brainwaves including Delta, Theta, Alpha, Beta, and Gamma, each reflecting different cognitive states. Raw & AUX_RIGHT: A raw representation of the electrical brain signals and waveforms from an auxiliary sensor. Mellow & Concentration: Metrics indicating the relaxation and focus levels of the user. Motion Data: The accelerometer provides device movement vectors in three dimensions (X, Y, Z) while the gyroscope tracks angular motion over time. HeadBandOn & HSI: Indicators for the device's position on the user’s head and the quality of sensor readings, respectively. Battery: Shows the remaining battery life of the Muse device. Elements: Captures specific actions by the user, like blinking or jaw clenching, which might be of significance in the decision-making context. LOCAL Folder: Decision Timing Metrics ID & Trial: Unique identifiers for the participant and the respective session of the experiment. Response Metrics: Includes parameters like the start time, letter appearance time, and the time when a participant feels the impulse to press a key. Decisional Parameters: Encompasses the chosen key, the timing of the observed letter, and the letter that the user remembers seeing during the impulse of decision-making. Drawing from this rich dataset, NeuroDecipher applies advanced analytical algorithms to trace the arc of decision-making from subconscious initiation to conscious realization. By correlating neurological data with the explicit decisions captured, the software presents a comprehensive picture of the pre-conscious neural activity that might presage specific decisions. Harnessing such vast data points, NeuroDecipher is more than just a software—it's a potential revolution in understanding the nuanced interplay between the conscious and subconscious realms of human cognition. As we progress further into the era of combining neuroscience with artificial intelligence, tools like NeuroDecipher pave the way for unprecedented insights into the very essence of human decision-making. WebApplication for extending the data collection: https://doi.org/10.5281/zenodo.8428361