Compelling case for treating Vmem as a coordinate system rather than just an on/off switch. The hysteresis point is underrated, same voltage landing different depending on trajectory feels like something most people miss when they think about bioelectric interventions. Building closed loop systems that learn the grammer iteratively instead of waiting for complete understanding is the righ approach imo.
The PID analogy works well here becuase it reframes the problem from static intervention to dynamic control. What stands out is the idea that cells already navigate using bioelectric coordinates but we only have binary tools to communicate with them. The trajectory-based signaling where channel memory and oscillatory patterns carry meaning suggests were missing layers of syntax in the communication protocol. Closed-loop systems that learn the grammer iteratively make sense as a path forward.
there is still so much to explore here...
Compelling case for treating Vmem as a coordinate system rather than just an on/off switch. The hysteresis point is underrated, same voltage landing different depending on trajectory feels like something most people miss when they think about bioelectric interventions. Building closed loop systems that learn the grammer iteratively instead of waiting for complete understanding is the righ approach imo.
This is absolutely brilliant!
thank you!
I had to Google "PID" to find out what it stands for: "Proportional-Integral-Derivative".
https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
The PID analogy works well here becuase it reframes the problem from static intervention to dynamic control. What stands out is the idea that cells already navigate using bioelectric coordinates but we only have binary tools to communicate with them. The trajectory-based signaling where channel memory and oscillatory patterns carry meaning suggests were missing layers of syntax in the communication protocol. Closed-loop systems that learn the grammer iteratively make sense as a path forward.