Biomedical Engineering Reference
In-Depth Information
The fixed point of this system is
m ext
V
C Js ss ,
s ss =
t syn f
(
+
s V ) .
(15.81)
To check the stability of the fixed points of this network, the standard procedure is to
consider a small perturbation of a steady state
s
=
s ss +
d s exp
(
l t
) ,
(15.82)
where d s is a small perturbation that grows at a rate l. Stability of the steady state
implies Re
0 for all possible perturbations. Inserting Equation (15.82) in Equa-
tion (15.80), we get
(
l
) <
s = s ss .
t syn +
d f
(
m V (
s
) ,
s V )
l
=
(15.83)
ds
Thus, the stability condition l
<
0is
s = s ss <
d f
(
m V (
s
) ,
s V )
t syn .
(15.84)
ds
Equation (15.84) is a condition on the slope of the input-output function f at the
value of the input current given by s ss . Since it is more intuitive to work with firing
rates, we can express it as a condition on the slope of f as a funcion of n if we note
that we only need the value of this slope at the steady state. In general
d f
ds
ds
d n
d f
d n =
.
(15.85)
Since the output rate is an instantaneous function of s , we can calculate the first term
on the right hand side for all s
(
t
)
. The second term we do not know in principle, but
on the steady state s ss
=
t syn n ss . Thus
s = s ss =
d n n
d f
ds
t syn
d f
n ss ,
(15.86)
=
so that the stability condition becomes
n
d f
(
m V (
n
) ,
s V )
n ss <
1
.
(15.87)
d n
=
Thus, for a fixed point to be stable, the slope of the output rate as a function of the
input rate, should be less than one at the fixed point. This is shown graphically in
Figure 15.4, where f
(
m V (
n
) ,
s V )
is plotted as a function of n, both for an excitatory
network ( J
5 mV) and an inhibitory network ( J
5 mV). The external inputs
are adjusted so that there is an intersection with the diagonal at 1 Hz in both cases.
When the network is excitatory (Figure 15.4A; in this case we use m ext
V
=
0
.
=
0
.
=
0mV),the
function f
(
m V (
n
) ,
s V )
raises very fast from zero rates to saturation. Thus, the slope
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