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Neuron model equations
where:
is the membrane potential,
is the recovery variable,
is the intracellular calcium concentration
and
are respectively the calcium channel activation variable and transient potassium
channel inactivation variable. The steady-state functions
,
,
,
, and
are modeled as sigmoidal curves, determined by two parameters: the half
maximum voltage
(values are -31, -20, -35, -45 and -70
respectively) and a slope
of the curve at this point (values are 0.065, 0.02, 0.055, 2.0, and -0.095
respectively).
is the conversion factor from calcium current to concentration and
is the removal rate constant of the intracellular calcium concentration.
is the membrane capacitance.
is the relaxation time function, and
and
are relaxation time constants for recovery
, calcium activation
, and potassium transients inactivation
variables. Ion currents
are described by the product of three terms: the maximal conductance
, the activation and inactivation variable or function, and the driving force
.
where:
,
,
,
,
,
in the range 0.5-3.5
are maximum conductances for the respective channels and
,
,
, and
are values of the reversal potentials for the respective ions and leak current.
and
are the calcium concentration function constants.
Synaptic model equations
where
denotes summation over past action potentials and
over the number of input synapses.
, is the synaptic conductance constant,
is the conductance function and
is a synaptic reversal potential equal
for excitatory and
for inhibitory synapse.
and
represent respectively decay time and onset time constants of a PSP. Synaptic
weight
was modeled as an integer in the range
.
denotes time elapsed since
-th action potential arrival on synapse,
is the number of past action potentials with significant contribution to
the sum and
is the number of synaptic inputs, in these simulations
(2 excitatory and 2 inhibitory inputs). The ordinary differential equations
were solved numerically using forward Euler method with a time step of 0.01
.
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