Introduction The neuron Change scale Never believe Non Euclidean Conclusion

Olivier Faugeras

Description

Introduction The neuron Change scale Never believe... Non Euclidean Conclusion Two or three things about theoretical neuroscience Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJAD CSDI May 11-12, 2011 ENS de Paris Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJAD

• unsa ljad


• ens paris


• never believe


• neuromathcomp project


• change scale


• single neuron

Sujets

• Cellular neuroscience

Informations

• Publié par: pefav
• Nombre de lectures: 6
• Langue: English
• Poids de l'ouvrage: 8 Mo

Extrait

Introduction The neuron Change scale Never believe... Non Euclidean Conclusion
Two or three things about theoretical
neuroscience
Olivier Faugeras
NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJAD
CSDI
May 11-12, 2011
ENS de Paris
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Scales and observations
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Scales and observations
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Modeling one neuron
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Modeling a single neuron
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Modeling a single neuron
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJADIntroduction The neuron Change scale Never believe... Non Euclidean Conclusion
Modeling a single neuron
I IK Na ILz }| { z }| { z }| {
4 3_CV = I g n (V E ) g m h(V E ) g (V E )K Na L LK Na
n_ = (V )(1 n) (V )nn n
m_ = (V )(1 m) (V )mm m
_h = (V )(1 h) (V )hh h
Olivier Faugeras NeuroMathComp project team - INRIA Sophia/ENS Paris/UNSA LJAD