Table 2.
Main aspects of complexity and validation in the selected models.
Model name | NVC compartment parameters | Validation data | |||
---|---|---|---|---|---|
Biophysical | Scaling | Input | Output | Specie | |
FF | Chemical signal decay | Neural efficacy Feedback gain |
Stimulus waveform | BOLD | Human |
BF | – | Amplitude Duration Delay |
Predicted neural activity | ASL | Human |
AC | Baseline muscle arteriolar compliance Baseline arteriolar radius Maximum arteriolar radius Intravascular pressure Flow exponent Baseline arteriolar wall thickness Baseline passive stress fraction |
Neural efficacy Decay constant Feedback gain |
Stimulus waveform | BOLD | Human |
LEVC | Neuronal energetic factors (x2) Flow-inducing signal susceptibility (x2) NO diffusion low-pass filter (x3) NO signal decay |
Delay Feedback gain Scaling factors (x2) |
EEG | BOLD | Human |
3CW | Baseline arterial resistance Baseline capillary resistance Grubb's exponent Windkessel exponent Flow exponent Vascular transit time |
Amplitude Duration Delay |
LFP multi-unit activity | Laser Speckle | Rat |
D-C | – | Delay Dilation factors (x4) Constriction factors (x4) |
Current source density | Laser Doppler | Rat |
PI | – | Flow change amplitude Damping time Flow oscillation frequency |
Stimulus waveform | BOLD | Human |