Episode Description
Could reaction speed be the missing metric for brain health?
Dexter Ang shares how wrist-based neurotechnology quantifies cognition, personalizes interventions, & supports long-term mental performance for executives & elite performers.
Meet our guestDexter Ang is the co-founder & CEO of Pison Technology, developing wearable neuromuscular sensing & nervous system interfaces. Inspired by caring for his mother after her ALS diagnosis, he returned to MIT to build sensors that translate wrist biopotentials into digital commands. His work bridges human biology & digital systems across assistive technology, robotics, IoT & defense.
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- Almost everyone operates at only 60–70% of their brain’s true potential due to low awareness
- Wrist sensors accurately measure cognitive state & nervous system signals without head worn devices
- NASA & clinical science use reaction time as the gold standard for measuring cognitive function, readiness, & risk
- Processing speed, inhibition, & agility are distinct cognitive dimensions, each revealing different aspects of brain health & decision making
- Reaction time biofeedback training produces measurable gains in attention, discipline, & mood regulation
- Individual responses vary widely, making personalized protocols far more effective than general advice
- Strong cognitive performance depends on quality sleep, consistent routines, & circadian rhythm discipline
- Caffeine improves alertness but often worsens decision inhibition, with effects varying by person & task
- Knowing personal cognitive highs & lows helps time important work & decisions for peak performance
- Processing speed training lowers dementia risk & strengthens long term brain resilience more than memory games
00:00 Measure Brain Performance with Real World Signals
01:20 Turn Personal Adversity into Cognitive Innovation
03:05 Use Reaction Time as a Core Brain Health Biomarker
07:54Train Cognition Through Feedback not Guesswork
14:02 Apply Cognitive Data to Performance & Resilience
33:58 Integrate Neural Data into Personalized Experimentation
Links- Watch it on YouTube: https://youtu.be/OAvyoLfz5uk
- Full episode show notes: outliyr.com/244
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Nick