# Information Retention

Event-driven learning turns continuous signals into sparse events, but the triggering threshold has long been chosen empirically. This work maps signed threshold encoding onto discretized learning systems, uses the ratio of normal-condition increment standard deviation to threshold to define an information-sufficiency boundary, then picks the sparsest threshold retaining a prescribed fraction of peak discriminative information. On power-system fault classification, retaining 75% of peak information cut event density about 7.6-fold relative to that boundary while overall accuracy was 94.14%.

Event-driven learning turns continuous signals into sparse events, but the triggering threshold has long been chosen empirically. This work maps signed threshold encoding onto discretized learning systems, uses the ratio of normal-condition increment standard deviation to threshold to define an information-sufficiency boundary, then picks the sparsest threshold retaining a prescribed fraction of peak discriminative information. On power-system fault classification, retaining 75% of peak information cut event density about 7.6-fold relative to that boundary while overall accuracy was 94.14%.

Limbu and Chounta used a 2x2 between-subjects design in which 20 right-handed German-native university students copied text on a WACOM tablet while touch sensitivity (glove use) and kinaesthetic intensity (increased writing pressure) were manipulated, measuring outcomes with a 10-item immediate recall test, dual-task reaction time, and NASA-TLX; Bayesian binomial regression showed about 85–88% probability that increased pressure reduced recall (Bayes factors 5.83 and 7.1, moderate evidence), glove use alone showed no clear effect, and Bayesian mediation analysis found no strong evidence that mental effort or perceived workload mediated these effects (all 95% credible intervals included zero).

Limbu and Chounta used a 2x2 between-subjects design in which 20 right-handed German-native university students copied text on a WACOM tablet while touch sensitivity (glove use) and kinaesthetic intensity (increased writing pressure) were manipulated, measuring outcomes with a 10-item immediate recall test, dual-task reaction time, and NASA-TLX; Bayesian binomial regression showed about 85–88% probability that increased pressure reduced recall (Bayes factors 5.83 and 7.1, moderate evidence), glove use alone showed no clear effect, and Bayesian mediation analysis found no strong evidence that mental effort or perceived workload mediated these effects (all 95% credible intervals included zero).