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Dynamical Systems in Neuroscience:

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38 Electrophysiology of Neurons2.3 Hodgk<strong>in</strong>-Huxley ModelIn Sect. 2.1 we have studied how the membrane potential depends on the membranecurrents assum<strong>in</strong>g that ionic conductances are fixed. In Sect. 2.2 we have used theHodgk<strong>in</strong>-Huxley gate model to study how the conductances and currents depend onthe membrane potential assum<strong>in</strong>g that the potential is clamped at different values.In this section we put it all together and study how the potential ↔ current nonl<strong>in</strong>ear<strong>in</strong>teractions lead to many <strong>in</strong>terest<strong>in</strong>g phenomena such as generation of actionpotentials.2.3.1 Hodgk<strong>in</strong>-Huxley equationsOne of the most important models <strong>in</strong> computational neuroscience is the Hodgk<strong>in</strong>-Huxley model of the squid giant axon. Us<strong>in</strong>g pioneer<strong>in</strong>g experimental techniques of thattime, Hodgk<strong>in</strong> and Huxley (1952) determ<strong>in</strong>ed that the squid axon curries three majorcurrents: voltage-gated persistent K + current with four activation gates (result<strong>in</strong>g <strong>in</strong>the term n 4 <strong>in</strong> the equation below, where n is the activation variable for K + ), voltagegatedtransient Na + current with three activation gates and one <strong>in</strong>activation gate (termm 3 h below), and Ohmic leak current, I L , which is carried mostly by Cl − ions. Thecomplete set of space-clamped Hodgk<strong>in</strong>-Huxley equations isC ˙V = I −I K{ }} {ḡ K n 4 (V − E K ) −ṅ = α n (V )(1 − n) − β n (V )nṁ = α m (V )(1 − m) − β m (V )mḣ = α h (V )(1 − h) − β h (V )h ,I Na{ }} {ḡ Na m 3 h(V − E Na ) −I L{ }} {g L (V − E L )where10 − Vα n (V ) = 0.01exp( 10−V ) − 1 ,10( ) −Vβ n (V ) = 0.125 exp ,8025 − Vα m (V ) = 0.1exp( 25−V− 1 ,10( ) −Vβ m (V ) = 4 exp ,18( ) −Vα h (V ) = 0.07 exp ,201β h (V ) =exp( 30−V ) + 1 .10

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