310 likes | 500 Views
Hodgin & Huxley. The problem: Explain action potentials The preparation: loligo giant axons What was known: Time dependent conductance: Curtis & Cole Multiple batteries in play Likely players Na + , K + : Hodgkin & Katz A new method: Voltage Clamp. Action Potentials “Overshoot”.
E N D
Hodgin & Huxley • The problem: Explain action potentials • The preparation: loligo giant axons • What was known: • Time dependent conductance: Curtis & Cole • Multiple batteries in play • Likely players Na+, K+ : Hodgkin & Katz • A new method: Voltage Clamp
Action Potentials “Overshoot” Hodgkin & Huxley, 1939 Nature 144:473-96
Voltage Clamp • 3 electrodes used: • Vo • Vi • Ii (injected current, measured with I-mon) • Advantages • Space clamp – axial wires used – • Can effectively eliminate Ic – V is fixed • Used to isolate time dependent changes in I
Voltage clamp currents in loligo Modern convention: • Original presentation: • - Vm relative to rest • -referenced to inside of cell • amplitude & polarity appropriate • for necessary charging of membrane
gK(t) • Sigmoid onset • Noninactivating • Exponential offset
Equilibrium n(V), noo • Similar to a Boltzmann distribution
Rate constants for gate n • Derived from onset or offset of gK upon DV
gK fitted to HH equation • Reasonable fit to onset, offset & steady state
Isolate iNa by algebraic subtraction • Appears Ohmic • Sigmoidal onset • Increase in gNa is reversible • g(V) is independent of i sign
Current flow through pNa is Ohmic • Open channel I/V curve • Instantaneous conductance
gNa kinetics • Both activation and inactivation speed up with depolarization
hoo • Determined with prepulse experiments
Rate constants for gate h • Derived from onset or offset of gNa upon DV
Rate constants for gate m • Derived from onset or offset of gNa upon DV
Summary of equilibrium states and time constants for HH gates
HH model equations - All as and bs are dependent on voltage but not time - Calculate I from sum of leak, Na, K - Can calculate dV/dt, and approximate V1 =V(t+Dt)
Markov model of states & transitions • Allosteric model of Taddese & Bean • Only 2 voltage dependent rates
Allosteric model results • Reproduces transient & sustained current
Generality of model • Many ion channels described in different neuronal systems • Each has unique • Equilibrium V activation range • Equilibrium V inactivation range • Kinetics of activation and inactivation • Reversal potential • These contribute to modification of spike firing in different V and f domains