12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Simple Models 339rat's mitral cell (<strong>in</strong> vitro)40 mV100 mssimple modelI=35pAI=20 pAup-stateI=15pAI= 10pAsomadendriteFigure 8.40: Comparison of <strong>in</strong> vitro record<strong>in</strong>gs of mitral neurons of rat’s olfactory bulbwith simulations of the simple two-compartment model. Soma: 40 ˙v = (v+55)(v+50)+0.5(v d −v)−u+I, ˙u = 0.4{(U(v)−u} with U(v) = 0 when v < v b and U(v) = 20(v−v b )when v ≥ v b = −48 mV. If v ≥ 35, then v ← −50. Passive dendrite (dotted curve):˙v d = 0.0125(v − v d ). Weak noise was added to simulations to unmask subthresholdoscillations <strong>in</strong> the up-state. The membrane potential of the neuron is held at −75mV by <strong>in</strong>ject<strong>in</strong>g a strong negative current, and then stimulated with steps of positivecurrent. (Data were k<strong>in</strong>dly provided by Philip Heyward.)

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

Saved successfully!

Ooh no, something went wrong!