12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

162 Conductance-Based Modelscurrent, I0-k(v-v r )(v-v t )+b(v-v r )I (V)-k(v-v r )(v-v t )I 0 (V)v rv tmembrane potential, vFigure 5.24: The relationship betweenthe parameters of the simple model(5.7, 5.8) and the <strong>in</strong>stantaneous andsteady-state I-V relations, I 0 (V ) andI ∞ (V ), respectively.transforms the simple model <strong>in</strong>to the equivalent form˙v = I + v 2 − u if v ≥ 1, then (5.5)˙u = a(bv − u) v ← c, u ← u + d (5.6)hav<strong>in</strong>g only four dimensionless parameters.Derivation via I-V relationsThe parameters of the simple model can be derived us<strong>in</strong>g <strong>in</strong>stantaneous (peak) andsteady-state I-V relations. Let us represent the model <strong>in</strong> the follow<strong>in</strong>g equivalent formC ˙v = k(v − v r )(v − v t ) − u + I if v ≥ v peak , then (5.7)u = a{b(v − v r ) − u} v ← c, u ← u + d (5.8)where v is the membrane potential, u is the recovery current, and C is the membranecapacitance. The quadratic polynomial −k(v − v r )(v − v t ) approximates thesubthreshold part of the <strong>in</strong>stantaneous I-V relation I 0 (V ). Here, v r is the rest<strong>in</strong>g membranepotential, and v t is the <strong>in</strong>stantaneous threshold potential, as <strong>in</strong> Fig. 5.24. Thatis, <strong>in</strong>stantaneous depolarizations above v t result <strong>in</strong> spike response. The polynomial−k(v − v r )(v − v t ) + b(v − v r ) approximates the subthreshold part of the steady-stateI-V relation I ∞ (V ). When b < 0, its maximum approximates the rheobase current ofthe neuron, i.e., the m<strong>in</strong>imal amplitude of a dc-current needed to fire a cell. Its derivativewith respect to v at v = v r , i.e., b − k(v r − v t ), corresponds to the rest<strong>in</strong>g <strong>in</strong>putconductance, which is the <strong>in</strong>verse of the <strong>in</strong>put resistance. Know<strong>in</strong>g both the rheobaseand the <strong>in</strong>put resistance of a neuron, one could determ<strong>in</strong>e the parameters k and b, aswe do <strong>in</strong> Chap. 8. This method does not work when b > 0.The sum of all slow currents that modulate the spike-generation mechanism arecomb<strong>in</strong>ed <strong>in</strong> the phenomenological variable u with outward currents taken with theplus sign. The form of (5.8) ensures that u = 0 at rest, i.e., when I = 0 and v = v r .The sign of b determ<strong>in</strong>es whether u is an amplify<strong>in</strong>g (b < 0) or a resonant (b > 0)variable. In the latter case, the neuron sags <strong>in</strong> response to hyperpolarized pulses ofcurrent, peaks <strong>in</strong> response to depolarized subthreshold pulses, and produces rebound(post-<strong>in</strong>hibitory) responses. The recovery time constant is a. The spike cut-off value is

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!