| 0D |
zero-dimensional, i.e. single-compartment or space clamp models; whose spatial extents are confined to a point |
| 1D |
cable-like, multi-compartment spatial structure; homo-morphic to line |
| 2D etc. |
two- or more dimensional, refers to the number of states that describe the excitable system’s dynamics |
| AIS |
the axon’s initial segment |
| AP |
Action potential |
| ASA |
Adjoint Sensitivity Analysis |
| BCI |
brain-computer interface |
| BMI |
brain-machine interface |
| BVP |
Boundary-value [ODE solution] problem |
| BVDP |
the Bonhoeffer-Van der Pol oscillator-dynamics model; also known as the Fitzhugh-Nagumo model |
| DBS |
Deep-brain stimulation |
| ES |
Electrical stimulation |
| FHOC |
Finite-Horizon Optimal-Control |
| FP |
Fixed point of system dynamics → vanishing derivative(s) |
| HH or HHM |
Hodgkin and Huxley’s [model of excitable membranes] |
| IM |
the Izhikevich model |
| LM |
the Linear sub-threshold model; also known in computational neuroscience as leaky integrate & fire |
| MRG |
the McIntyre, Richardson, and Grill model |
| OC |
Optimal-Control |
| ODE |
Ordinary Differential equation; see also PDE |
| PDE |
Differential equation involving partial derivatives; see also ODE |
| LAP |
the Least-Action Principle |
| RN |
Ranvier-node |
| RHS |
right-hand side |
| SD |
strength-duration [curve] |
| W.R.T. |
with respect to |
