On the dynamics of gain and loss: Electrophysiological evidence from associative learning

The dataset comprises structured behavioral and electrophysiological data collected to investigate how associative learning of gain and loss outcomes modulates neural processing of visual stimuli. It includes trial-level measures of participants’ response times and choice accuracy during a relevance-acquisition task in which novel symbolic cues were paired with monetary gain, loss, or neutral outcomes, as well as concurrent psychophysiological recordings capturing event-related brain potentials (ERPs) and pupil dilation responses. Time-resolved EEG metrics include amplitudes and latencies of well-characterized ERP components reflecting early sensory and later evaluative processes, aligned to stimulus onset and feedback events, along with condition labels identifying gain, loss, and neutral learning phases.

The dataset also contains quantified visual features of the stimuli (e.g., luminance and contrast), detailed task parameters (stimulus timing, block structure, counterbalancing variables), and participant metadata (age, gender, handedness). Accompanying preprocessing and analysis metadata document EEG acquisition settings (electrode montage, sampling rate, filter settings), artifact rejection procedures, pupil measurement specifications, and versioned scripts for signal processing and statistical modeling.