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Dynamical Systems in Neuroscience:

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66 One-Dimensional <strong>Systems</strong>UnstableEquilibriumVF(V)Attraction Doma<strong>in</strong>Attraction Doma<strong>in</strong>Figure 3.12: Two attraction doma<strong>in</strong>s <strong>in</strong> a one-dimensional system are separated by theunstable equilibrium.(subthreshold) perturbations leave the state variable <strong>in</strong> the attraction doma<strong>in</strong> of therest state, while large (superthreshold) perturbations <strong>in</strong>itiate the regenerative process— the upstroke of an action potential, and the voltage variable becomes attracted to theexcited state. Generation of the action potential must be completed via repolarization,which moves V back to the rest state. Typically, repolarization occurs because of arelatively slow <strong>in</strong>activation of Na + current and/or slow activation of an outward K +current, which are not taken <strong>in</strong>to account <strong>in</strong> the one-dimensional system (3.5). Toaccount for such processes, we consider two-dimensional systems <strong>in</strong> the next chapter.Recall that the parameters of the I Na,p -model (3.5) were obta<strong>in</strong>ed from a corticalpyramidal neuron. In Fig. 3.15, left, we stimulate (<strong>in</strong> vitro) the cortical neuron by short(0.1 ms) strong pulses of current to reset its membrane potential to various <strong>in</strong>itial valuesand <strong>in</strong>terpret the results us<strong>in</strong>g the I Na,p -model. S<strong>in</strong>ce activation of Na + current is not<strong>in</strong>stantaneous <strong>in</strong> real neurons, we allow variable m to converge to m ∞ (V ), and ignorethe 0.3-ms transient activity that follows each pulse. We also ignore the <strong>in</strong>itial segmentof the downstroke of the action potential, and plot the magnification of the voltagetraces <strong>in</strong> Fig. 3.15, right. Compar<strong>in</strong>g this figure with Fig. 3.8b, we see that the I Na,p -model is a reasonable one-dimensional approximation of the action potential upstrokedynamics; It predicts the value of the rest<strong>in</strong>g (−53 mV), <strong>in</strong>stantaneous threshold (−40mV), and the excited (+30 mV) states of the cortical neuron.3.2.8 Bistability and hysteresis<strong>Systems</strong> hav<strong>in</strong>g two (many) co-exist<strong>in</strong>g attractors are called bistable (multi-stable).Many neurons and neuronal models, such as the Hodgk<strong>in</strong>-Huxley model, exhibit bistabilitybetween rest<strong>in</strong>g (equilibrium) and spik<strong>in</strong>g (limit cycle) attractors. Some neuronscan exhibit bistability of two stable rest<strong>in</strong>g states <strong>in</strong> the subthreshold voltage range,e.g., −59 mV and −75 mV <strong>in</strong> the thalamocortical neurons (Hughes et al. 1999) depicted

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