Bliss Chapman

and i think at the time we were also trying to do a bunch of different experimentation um you know different algorithms different um sort of ui ux so it was expected that there will be variability in the performance um but we did see kind of a steady decline and then also the way in which we

and i think at the time we were also trying to do a bunch of different experimentation um you know different algorithms different um sort of ui ux so it was expected that there will be variability in the performance um but we did see kind of a steady decline and then also the way in which we

and i think at the time we were also trying to do a bunch of different experimentation um you know different algorithms different um sort of ui ux so it was expected that there will be variability in the performance um but we did see kind of a steady decline and then also the way in which we

measure the health of the electrodes or whether they're in the brain or not is by measuring impedance of the electrode. So we look at kind of the interfacial, kind of the Randall circuit, they say, the capacitance and the resistance between the electrosurface and the medium.

measure the health of the electrodes or whether they're in the brain or not is by measuring impedance of the electrode. So we look at kind of the interfacial, kind of the Randall circuit, they say, the capacitance and the resistance between the electrosurface and the medium.

measure the health of the electrodes or whether they're in the brain or not is by measuring impedance of the electrode. So we look at kind of the interfacial, kind of the Randall circuit, they say, the capacitance and the resistance between the electrosurface and the medium.

And if that changes in some dramatic ways, we have some indication, or if you're not seeing spikes on those channels, you have some indications that something's happening there.

And if that changes in some dramatic ways, we have some indication, or if you're not seeing spikes on those channels, you have some indications that something's happening there.

And if that changes in some dramatic ways, we have some indication, or if you're not seeing spikes on those channels, you have some indications that something's happening there.

And what we noticed is that looking at those impedance plot and spike rate plots, and also because we have those electrodes recording along the depth, you're seeing some sort of movement that indicated that the reservoir being pulled out.

And what we noticed is that looking at those impedance plot and spike rate plots, and also because we have those electrodes recording along the depth, you're seeing some sort of movement that indicated that the reservoir being pulled out.

And what we noticed is that looking at those impedance plot and spike rate plots, and also because we have those electrodes recording along the depth, you're seeing some sort of movement that indicated that the reservoir being pulled out.

And that obviously will have an implication on the model side, because if you're the number of inputs that are going into the model is changing because you have less of them, that model needs to get updated, right? And But there were still signals.

And that obviously will have an implication on the model side, because if you're the number of inputs that are going into the model is changing because you have less of them, that model needs to get updated, right? And But there were still signals.

And that obviously will have an implication on the model side, because if you're the number of inputs that are going into the model is changing because you have less of them, that model needs to get updated, right? And But there were still signals.

And as I mentioned, similar to how even when you place the signals on the surface of the brain or further away, like outside the skull, you still see some useful signals. What we started looking at is not just the spike occurrence through this BOSS algorithm that I mentioned, but we started looking at just the power of the frequency band that is interesting for Nolan to be able to modulate.

And as I mentioned, similar to how even when you place the signals on the surface of the brain or further away, like outside the skull, you still see some useful signals. What we started looking at is not just the spike occurrence through this BOSS algorithm that I mentioned, but we started looking at just the power of the frequency band that is interesting for Nolan to be able to modulate.

And as I mentioned, similar to how even when you place the signals on the surface of the brain or further away, like outside the skull, you still see some useful signals. What we started looking at is not just the spike occurrence through this BOSS algorithm that I mentioned, but we started looking at just the power of the frequency band that is interesting for Nolan to be able to modulate.

So once we kind of changed the algorithm for the implant to not just give you the boss output, but also these spike band power output, that helped us sort of refine the model with the new set of inputs. And that was the thing that really ultimately gave us the performance back. In terms of

So once we kind of changed the algorithm for the implant to not just give you the boss output, but also these spike band power output, that helped us sort of refine the model with the new set of inputs. And that was the thing that really ultimately gave us the performance back. In terms of