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Science
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3
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3
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Dec
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20
24
,
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Dio
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C
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p
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A
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r
:
Kao
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th
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Selm
i
FS
M,
E
lectr
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ics an
d
Mic
r
o
el
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tr
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ab
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Facu
lty
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S
cien
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Un
iv
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s
ity
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n
asti
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Mo
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asti
r
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T
u
n
is
ia
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m
ail:
Kao
u
th
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.
s
elm
i@
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m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
Un
d
er
s
tan
d
in
g
th
e
i
n
tr
icate
d
y
n
am
ics
o
f
th
e
b
r
ai
n
is
a
f
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n
d
am
en
tal
p
u
r
s
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it
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n
e
u
r
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s
cie
n
ce
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with
im
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licatio
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s
s
p
an
n
in
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r
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m
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ain
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u
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th
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tu
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y
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p
r
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t
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n
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v
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ap
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ac
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to
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im
u
late
b
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y
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m
ics
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y
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teg
r
ati
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h
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it
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n
n
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h
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s
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d
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c
o
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p
ar
e
th
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ap
p
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h
with
an
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n
ativ
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m
et
h
o
d
u
tili
zin
g
c
o
u
p
led
o
s
cillato
r
s
[
1
]
,
[
2
]
.
T
h
is
s
tu
d
y
d
elv
es
in
t
o
th
e
e
x
p
lo
r
atio
n
o
f
elec
tr
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cir
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t
ap
p
r
o
ac
h
es
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m
o
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elin
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b
r
ain
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ao
s
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in
g
to
g
ain
in
s
ig
h
ts
in
to
n
eu
r
al
d
y
n
am
ics.
W
h
ile
p
r
ev
io
u
s
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esear
ch
h
as
d
elv
ed
in
to
v
ar
io
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ain
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ch
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io
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n
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ta
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ess
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tr
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cir
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it
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els
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n
d
er
s
tan
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th
ese
in
tr
icate
p
r
o
c
ess
es.
W
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ile
ea
r
lier
s
tu
d
ies
h
av
e
ex
am
in
ed
th
e
ef
f
ec
ts
o
f
ex
ter
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al
s
tim
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li
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n
n
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r
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ac
tiv
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h
av
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ex
p
lo
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t
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t
o
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ch
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o
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ics
with
in
t
h
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e
is
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d
is
tin
ct
lack
o
f
ex
p
licit
in
v
esti
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n
in
to
h
o
w
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tr
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cir
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it
m
o
d
els
ca
n
ca
p
tu
r
e
an
d
elu
cid
ate
s
u
ch
p
h
en
o
m
en
a
.
T
h
is
s
tu
d
y
s
ee
k
s
to
f
ill
th
is
v
o
id
b
y
ex
am
in
i
n
g
th
e
im
p
licat
io
n
s
o
f
em
p
lo
y
in
g
e
l
e
c
t
r
i
c
a
l
c
i
r
c
u
i
t
a
p
p
r
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a
c
h
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s
t
o
m
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d
e
l
b
r
a
i
n
c
h
a
o
s
,
t
h
u
s
p
r
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v
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d
i
n
g
a
n
o
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l
p
e
r
s
p
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t
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v
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n
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u
r
a
l
d
y
n
a
m
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c
s
[
3
]
,
[
4
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
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4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
3
,
Dec
em
b
er
20
24
:
1
5
0
3
-
1
5
1
1
1504
2.
T
H
E
P
RO
P
O
SE
D
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
in
th
is
s
tu
d
y
ten
d
ed
to
h
a
v
e
an
in
o
r
d
in
ately
h
ig
h
e
r
p
r
o
p
o
r
tio
n
o
f
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n
ap
tic
co
n
n
ec
tio
n
s
e
x
h
ib
itin
g
ch
ao
ti
c
b
eh
av
i
o
r
as
co
m
p
ar
e
d
to
tr
a
d
itio
n
al
n
eu
r
al
n
etwo
r
k
m
o
d
e
ls
.
T
h
is
d
iv
er
g
e
n
ce
in
b
eh
av
io
r
u
n
d
er
s
co
r
es
th
e
ef
f
icac
y
o
f
elec
tr
ical
cir
cu
it
ap
p
r
o
ac
h
es
in
ca
p
tu
r
i
n
g
th
e
in
tr
ic
ate
d
y
n
am
ics
o
f
th
e
b
r
ain
,
s
h
ed
d
in
g
lig
h
t o
n
th
e
p
r
ev
alen
ce
an
d
s
ig
n
if
ican
ce
o
f
ch
ao
s
in
n
eu
r
al
s
y
s
tem
s
[
5
]
-
[
7
]
.
W
e
co
n
d
u
cted
o
u
r
ex
p
er
im
en
ts
u
s
in
g
a
co
m
b
i
n
atio
n
o
f
co
m
p
u
tatio
n
al
s
i
m
u
latio
n
s
an
d
h
ar
d
war
e
im
p
lem
en
tatio
n
s
.
T
h
e
co
m
p
u
tatio
n
al
s
im
u
latio
n
s
we
r
e
ca
r
r
ied
o
u
t
u
s
in
g
s
o
f
twar
e
to
o
ls
s
u
ch
as
p
r
o
tes
(
I
SIS)
,
wh
er
e
we
d
ev
elo
p
ed
m
ath
em
atica
l
m
o
d
els
r
ep
r
esen
tin
g
th
e
elec
tr
ical
cir
cu
its
an
alo
g
o
u
s
to
n
eu
r
al
n
etwo
r
k
s
.
T
h
ese
m
o
d
els
in
co
r
p
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r
ated
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a
r
am
eter
s
r
ef
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tin
g
th
e
d
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n
am
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f
n
eu
r
o
n
s
,
s
y
n
ap
s
es,
an
d
th
eir
in
te
r
ac
tio
n
s
.
Fo
r
h
ar
d
war
e
im
p
lem
en
tatio
n
s
,
we
u
tili
ze
d
elec
tr
o
n
ic
co
m
p
o
n
e
n
ts
to
co
n
s
tr
u
ct
p
h
y
s
ical
cir
cu
its
m
im
ick
in
g
th
e
b
eh
a
v
io
r
o
f
n
eu
r
o
n
al
n
etwo
r
k
s
[
8
]
-
[
1
1
]
.
T
h
ese
cir
cu
its
co
n
s
is
ted
o
f
o
p
er
atio
n
al
am
p
lifie
r
s
,
r
esis
to
r
s
,
ca
p
ac
ito
r
s
,
an
d
o
th
er
d
is
cr
ete
elem
en
ts
in
ter
co
n
n
ec
ted
to
em
u
late
th
e
s
y
n
a
p
t
ic
co
n
n
ec
tio
n
s
a
n
d
n
eu
r
o
n
al
f
ir
in
g
p
atter
n
s
o
b
s
e
r
v
ed
in
th
e
b
r
ain
[
1
2
]
,
[
1
3
]
.
W
e
u
s
e
a
C
h
u
a
cir
cu
it
to
i
n
v
esti
g
ate
ch
ao
tic
d
y
n
am
ics in
n
eu
r
al
n
etwo
r
k
s
,
wh
ich
is
th
e
“Ch
u
a
cir
cu
it”.
W
e
will a
d
d
o
th
er
th
in
g
s
to
th
i
s
cir
cu
it a
s
s
h
o
ws o
n
Fig
u
r
e
1
.
Fig
u
r
e
1.
E
x
am
p
le
o
f
a
cir
c
u
it to
d
eter
m
in
e
c
h
ao
tic
d
y
n
am
ics in
n
eu
r
al
n
etwo
r
k
s
I
n
th
is
cir
cu
it,
elem
en
ts
R
1
an
d
R
2
r
ep
r
esen
t
r
esis
to
r
s
,
C
1
an
d
C
2
ar
e
ca
p
ac
ito
r
s
,
L
s
tan
d
s
f
o
r
an
in
d
u
ctan
ce
,
an
d
G(
x
)
is
a
n
o
n
-
lin
ea
r
f
u
n
cti
o
n
.
Vo
ltag
es
V
1
an
d
V2
s
er
v
e
as
th
e
cir
cu
it'
s
in
p
u
ts
,
wh
ile
Vo
u
t
r
ep
r
esen
ts
th
e
o
u
tp
u
t
v
o
ltag
e.
W
e
h
av
e
ch
o
s
en
G(
x
)
to
b
e
th
e
Fit
zh
u
g
h
-
Na
g
u
m
o
(
FHN)
f
u
n
ctio
n
.
A.
C
h
u
a
cir
cu
it
:
T
h
e
d
y
n
am
ics o
f
C
h
u
a
cir
cu
it
ar
e
d
e
f
in
ed
b
y
:
{
1
̇
1
=
2
−
1
−
(
1
)
2
̇
2
=
1
−
2
+
̇
̇
=
−
2
(
1
)
V₁
an
d
V₂,
r
ep
r
esen
tin
g
th
e
v
o
ltag
e,
ca
p
ac
ito
r
s
C
₁
an
d
C
₂,
i
d
en
o
tin
g
th
e
cu
r
r
e
n
t
f
l
o
win
g
th
r
o
u
g
h
th
e
in
d
u
ctan
ce
,
an
d
f
r
ep
r
esen
tin
g
th
e
cu
r
r
e
n
t
r
esp
o
n
s
e
o
f
th
e
C
h
u
a
d
io
d
e.
Fig
u
r
e
2
s
h
o
ws
th
e
d
iag
r
am
C
h
u
a
cir
cu
it.
Fig
u
r
e
2
.
T
h
e
C
h
u
a
cir
c
u
it with
ca
s
ca
d
e
am
p
lifie
r
B.
Dio
d
e
tu
n
n
el
:
T
h
e
u
s
e
o
f
tu
n
n
el
d
io
d
es
in
n
eu
r
al
n
etwo
r
k
s
is
p
r
im
ar
ily
d
u
e
to
th
eir
u
n
i
q
u
e
elec
tr
ical
p
r
o
p
er
ties
,
wh
ich
ca
n
b
e
e
x
p
l
o
ited
to
im
p
lem
en
t
s
p
ec
if
ic
f
u
n
ctio
n
alities
with
in
th
e
n
etwo
r
k
ar
ch
itectu
r
e.
On
e
o
f
t
h
e
k
e
y
ad
v
an
tag
es
o
f
tu
n
n
el
d
io
d
es
is
th
eir
ab
ilit
y
to
e
x
h
ib
it
n
e
g
ativ
e
d
i
f
f
er
en
t
ial
r
esis
tan
ce
(
NDR)
b
eh
av
io
r
as sh
o
wn
in
Fig
u
r
e
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
E
lectrica
l c
ir
cu
it a
p
p
r
o
a
ch
es to
mo
d
elin
g
b
r
a
in
ch
a
o
s
:
in
s
ig
h
ts
in
to
n
eu
r
a
l d
y
n
a
mics
(
K
a
o
u
th
er S
elmi
)
1505
Fig
u
r
e
3
.
Sy
m
b
o
l o
f
tu
n
n
el
d
i
o
d
e
T
h
is
p
r
o
p
er
ty
ca
n
b
e
lev
er
a
g
ed
to
i
n
tr
o
d
u
ce
n
o
n
lin
ea
r
ity
i
n
to
th
e
n
etwo
r
k
'
s
ac
tiv
atio
n
f
u
n
ctio
n
s
.
I
n
n
eu
r
al
n
etwo
r
k
s
,
n
o
n
lin
ea
r
ity
is
cr
u
c
ial
f
o
r
en
ab
lin
g
c
o
m
p
lex
co
m
p
u
tatio
n
s
an
d
lear
n
in
g
p
r
o
ce
s
s
es
[
1
4
]
,
[
1
5
]
.
T
h
eir
s
u
itab
ilit
y
f
o
r
h
i
g
h
-
f
r
eq
u
e
n
cy
o
p
er
atio
n
also
m
ak
es
th
em
p
r
o
m
is
in
g
ca
n
d
i
d
ates
f
o
r
n
eu
r
o
m
o
r
p
h
ic
co
m
p
u
tin
g
ap
p
licatio
n
s
,
wh
er
e
h
ar
d
war
e
m
im
ics th
e
b
r
ain
'
s
b
io
lo
g
ical
n
eu
r
al
n
etwo
r
k
s
.
C.
FHN
f
u
n
ctio
n
:
T
h
e
FHN
f
u
n
ct
io
n
is
a
m
ath
em
atica
l m
o
d
el
u
s
ed
to
d
escr
ib
e
th
e
d
y
n
am
ics o
f
ex
citab
le
s
y
s
tem
s
,
p
ar
ticu
lar
ly
in
th
e
co
n
tex
t o
f
n
eu
r
o
s
cien
ce
.
T
h
e
FHN
m
o
d
el
is
o
f
ten
r
ep
r
e
s
en
ted
b
y
:
=
−
3
3
−
+
=
Є
(
+
−
)
(
2
)
wh
er
e
V
r
ep
r
esen
ts
t
h
e
m
e
m
b
r
an
e
p
o
ten
tial
o
f
th
e
n
eu
r
o
n
,
W
is
th
e
r
ec
o
v
er
y
v
a
r
iab
le,
I
i
s
th
e
in
p
u
t
c
u
r
r
e
n
t,
a
is
a
p
ar
am
ete
r
r
e
p
r
esen
tin
g
t
h
e
th
r
esh
o
ld
f
o
r
s
p
ik
e
in
itiatio
n
,
b
r
ep
r
esen
ts
th
e
s
en
s
itiv
ity
o
f
th
e
r
ec
o
v
er
y
v
ar
iab
le
to
ch
an
g
es
in
th
e
m
em
b
r
an
e
p
o
ten
tial,
an
d
ep
s
ilo
n
(
ϵ
)
is
a
s
m
all
p
ar
am
eter
d
eter
m
in
in
g
th
e
tim
e
s
ca
le
s
ep
ar
atio
n
b
etwe
en
V
a
n
d
W
.
Her
e'
s
h
o
w
y
o
u
co
u
ld
im
p
lem
en
t th
is
m
o
d
el
in
a
n
elec
tr
o
n
ic
cir
cu
it:
−
C
ir
cu
it
f
o
r
V:
we
ca
n
u
s
e
a
n
o
p
er
atio
n
al
a
m
p
lifie
r
(
o
p
-
am
p
)
in
co
m
p
ar
ato
r
m
o
d
e
with
p
o
s
i
tiv
e
f
ee
d
b
ac
k
to
s
im
u
late
th
e
b
e
h
av
io
r
o
f
th
e
v
ar
iab
le
V.
No
n
lin
ea
r
elem
e
n
ts
,
s
u
ch
as
d
io
d
es,
ca
n
b
e
u
s
e
d
to
in
tr
o
d
u
ce
th
e
n
ec
ess
ar
y
n
o
n
lin
ea
r
ities
to
s
im
u
late
th
e
ter
m
V
3
/3
.
−
C
ir
cu
it
f
o
r
W
:
we
u
s
e
a
n
o
th
e
r
o
p
er
atio
n
al
am
p
lifie
r
with
a
n
ap
p
r
o
p
r
iate
co
n
f
ig
u
r
atio
n
to
s
im
u
late
th
e
b
e
h
a
v
i
o
r
o
f
t
h
e
v
a
r
i
a
b
l
e
W
.
Y
o
u
c
a
n
a
d
j
u
s
t
t
h
e
p
a
r
a
m
e
t
e
r
s
o
f
th
i
s
c
i
r
c
u
it
t
o
m
a
tc
h
t
h
e
v
a
l
u
es
o
f
a
,
b
,
a
n
d
ε
.
−
I
n
p
u
t
c
u
r
r
en
t so
u
r
ce
(
I
)
: w
e
ca
n
ad
d
a
cu
r
r
e
n
t so
u
r
ce
t
o
s
im
u
late
th
e
in
p
u
t c
u
r
r
en
t
I
in
th
e
m
o
d
el.
−
I
n
ter
ac
tio
n
b
etwe
en
V
an
d
W
:
T
h
e
co
m
p
o
n
e
n
ts
o
f
th
e
cir
cu
it
f
o
r
V
an
d
W
s
h
o
u
ld
b
e
in
ter
co
n
n
ec
te
d
ap
p
r
o
p
r
iately
to
r
e
f
lect
th
e
in
t
er
ac
tio
n
s
d
escr
ib
ed
in
th
e
d
if
f
er
en
tial e
q
u
atio
n
s
.
−
Ma
k
e
s
u
r
e
to
p
r
o
v
id
e
ap
p
r
o
p
r
iate
p
o
wer
to
th
e
cir
cu
it
an
d
co
n
f
ig
u
r
e
in
itial
co
n
d
itio
n
s
to
s
im
u
late
th
e
in
itial b
eh
av
io
r
o
f
th
e
s
y
s
tem
.
Fig
u
r
e
4
s
h
o
ws
th
e
cir
cu
it d
iag
r
am
o
f
th
e
Fit
zHu
g
h
−N
ag
u
m
o
Fu
n
ctio
n
.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
in
th
is
s
tu
d
y
ten
d
ed
to
h
av
e
an
in
o
r
d
i
n
ately
h
ig
h
e
r
p
r
o
p
o
r
tio
n
o
f
s
y
n
ap
tic
co
n
n
ec
tio
n
s
ex
h
ib
itin
g
ch
ao
tic
b
eh
a
v
io
r
as
co
m
p
ar
ed
to
t
r
ad
itio
n
al
n
eu
r
al
n
etwo
r
k
m
o
d
els.
T
h
is
d
iv
er
g
en
ce
i
n
b
e
h
av
io
r
u
n
d
er
s
c
o
r
es
th
e
ef
f
icac
y
o
f
elec
tr
ical
cir
cu
it
ap
p
r
o
ac
h
es
in
ca
p
tu
r
in
g
t
h
e
in
tr
icate
d
y
n
a
m
ics
o
f
th
e
b
r
ain
,
s
h
ed
d
in
g
lig
h
t
o
n
th
e
p
r
e
v
alen
ce
an
d
s
ig
n
if
ican
ce
o
f
ch
a
o
s
in
n
eu
r
al
s
y
s
tem
s
.
Fig
u
r
e
4
.
T
h
e
cir
cu
it o
f
th
e
f
it
zh
u
g
h
−
n
ag
u
m
o
f
u
n
c
tio
n
[
1
]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
3
,
Dec
em
b
er
20
24
:
1
5
0
3
-
1
5
1
1
1506
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Resul
t
s
C
o
m
b
in
in
g
th
e
C
h
u
a
cir
cu
it
with
th
e
FHN
m
o
d
el
ca
n
lead
to
f
ascin
atin
g
in
s
ig
h
ts
in
to
ch
ao
tic
b
eh
av
io
r
with
in
n
eu
r
al
n
etwo
r
k
s
.
C
ir
cu
it1
: I
n
teg
r
atin
g
t
h
e
FHN
m
o
d
el
with
th
e
C
h
u
a
ci
r
cu
it.
−
Simu
latio
n
1
:
Fig
u
r
e
5
s
h
o
ws
2
r
esu
lts
o
f
ch
ao
tic
ce
r
eb
r
al.
I
n
th
is
f
ir
s
t
s
im
u
latio
n
we
in
ject
th
e
FHN
in
2
o
p
er
atin
al
am
p
lifie
r
.
T
h
e
o
p
er
atio
n
al
am
p
lifie
r
(
o
p
-
am
p
)
ca
n
p
lay
a
s
ig
n
if
ican
t
r
o
le
i
n
g
en
er
atin
g
ch
ao
tic
b
eh
a
v
io
r
with
in
a
cir
c
u
it.
Fig
u
r
e
5.
Simu
latio
n
f
r
o
m
cir
c
u
it1
Her
e
ar
e
s
o
m
e
ex
am
p
les o
f
o
u
tp
u
t sig
n
als:
a)
R
ec
tan
g
u
lar
Sig
n
al:
T
h
is
s
ig
n
al
h
as
a
s
q
u
ar
e
wav
ef
o
r
m
with
ab
r
u
p
t
t
r
an
s
itio
n
s
b
etwe
en
two
v
o
lta
g
e
lev
els.
I
t is o
f
ten
u
s
ed
in
s
witc
h
in
g
ap
p
licatio
n
s
,
p
u
ls
e
wid
th
m
o
d
u
latio
n
(
PW
M)
.
b)
Sin
u
s
o
id
al
Sig
n
al:
T
h
is
s
ig
n
al
h
as
a
r
eg
u
lar
s
in
u
s
o
id
al
wa
v
ef
o
r
m
with
p
e
r
io
d
ic
v
a
r
iatio
n
s
in
v
o
ltag
e
o
v
er
tim
e.
I
t
is
co
m
m
o
n
ly
u
s
ed
in
s
ig
n
al
p
r
o
ce
s
s
in
g
,
wir
eless
co
m
m
u
n
icatio
n
,
a
n
d
am
p
litu
d
e
m
o
d
u
latio
n
ap
p
licatio
n
s
.
−
Simu
latio
n
2
:
Fig
u
r
e
6
s
h
o
ws
2
r
esu
lts
o
f
ch
a
o
tic
ce
r
eb
r
al.
I
n
th
is
s
ec
o
n
d
s
im
u
latio
n
we
i
n
ject
th
e
FHN
in
r
esis
to
r
an
d
th
e
s
ec
o
n
d
o
p
er
atio
n
al
am
p
lifie
r
.
Fig
u
r
e
6.
An
o
th
er
s
im
u
latio
n
f
r
o
m
cir
cu
it1
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
E
lectrica
l c
ir
cu
it a
p
p
r
o
a
ch
es to
mo
d
elin
g
b
r
a
in
ch
a
o
s
:
in
s
ig
h
ts
in
to
n
eu
r
a
l d
y
n
a
mics
(
K
a
o
u
th
er S
elmi
)
1507
R
esu
lt
1
p
r
esen
ts
co
n
v
er
g
in
g
ch
ao
s
in
th
e
b
r
ain
,
wh
ile
r
esu
lt
2
ex
h
ib
its
s
tab
ilit
y
ch
ao
s
in
th
e
b
r
ain
.
Un
d
er
s
tan
d
in
g
t
h
e
in
ter
p
la
y
b
etwe
en
co
n
v
er
g
in
g
c
h
ao
s
an
d
s
tab
le
ch
ao
s
in
ce
r
eb
r
al
d
y
n
a
m
ics
is
es
s
en
tial
f
o
r
elu
cid
atin
g
h
o
w
n
eu
r
al
n
etwo
r
k
s
p
r
o
ce
s
s
in
f
o
r
m
atio
n
,
g
en
e
r
ate
co
m
p
le
x
b
eh
av
io
r
s
,
an
d
m
ain
tain
d
y
n
am
ic
s
tab
ilit
y
in
th
e
f
ac
e
o
f
p
er
tu
r
b
atio
n
s
.
I
t
also
h
as
im
p
licatio
n
s
f
o
r
s
tu
d
y
in
g
n
eu
r
o
lo
g
ic
al
d
is
o
r
d
er
s
,
wh
er
e
d
is
r
u
p
tio
n
s
in
n
eu
r
al
d
y
n
am
ic
s
m
ay
lead
to
eit
h
er
e
x
ce
s
s
iv
e
s
tab
ilit
y
o
r
ch
ao
tic
d
y
s
f
u
n
ctio
n
with
in
t
h
e
b
r
ain
'
s
cir
cu
its
.
−
Simu
latio
n
3:
Fig
u
r
e
7
s
h
o
ws
an
o
th
er
r
esu
lt o
f
b
r
ain
ch
a
o
s
.
Fig
u
r
e
7
.
An
o
th
er
e
x
am
p
les o
f
s
im
u
latio
n
T
h
e
s
ig
n
al
o
u
tp
u
t
f
r
o
m
a
ch
a
o
tic
b
r
ain
au
to
s
y
n
ch
r
o
n
izatio
n
d
is
p
lay
p
atter
n
s
o
f
s
y
n
ch
r
o
n
ized
n
eu
r
al
ac
tiv
ity
am
id
s
t
ch
ao
tic
f
lu
ctu
atio
n
s
.
T
h
is
o
u
tp
u
t
s
ig
n
al
m
ay
ex
h
i
b
it
in
ter
m
itten
t
p
er
io
d
s
o
f
co
h
er
en
ce
o
r
s
y
n
ch
r
o
n
y
am
o
n
g
n
eu
r
o
n
al
p
o
p
u
latio
n
s
,
i
n
ter
s
p
er
s
ed
with
p
er
io
d
s
o
f
ir
r
eg
u
lar
ac
tiv
ity
.
−
Simu
latio
n
4
:
Fig
u
r
e
8
s
h
o
ws
th
e
s
im
u
latio
n
wh
en
we
in
ject
th
e
r
esis
to
r
f
r
o
m
(
FHN)
to
f
i
r
s
t
o
p
er
atio
n
al
am
p
life
r
f
r
o
m
C
h
u
a
cir
c
u
it.
Fig
u
r
e
8.
Simu
latio
n
b
r
ain
ch
a
o
s
C
ir
cu
it2
: in
ject
to
cir
cu
it 1
(
m
u
ltip
lier
cir
cu
it +
An
astab
le
m
u
ltiv
ib
r
ato
r
cir
cu
it)
T
o
in
cr
ea
s
e
co
m
p
le
x
ity
in
th
e
s
cr
o
ll
b
e
h
av
io
r
,
we
i
n
s
er
ted
a
m
u
ltip
lier
ci
r
cu
it
b
etwe
en
o
p
er
atio
n
al
am
p
lifie
r
s
o
p
er
atin
g
in
an
ad
d
er
m
o
d
e
a
n
d
t
h
e
C
h
u
a
cir
cu
it
to
o
b
s
er
v
e
ch
a
o
tic
b
eh
a
v
io
r
in
th
e
s
im
u
latio
n
.
Af
ter
,
we
ad
d
ed
an
astab
le
m
u
ltiv
ib
r
ato
r
cir
cu
it
b
etwe
en
th
e
m
u
ltip
lier
an
d
th
e
C
h
u
a
cir
cu
it
Fig
u
r
e
9
.
−
Simu
latio
n
5
:
Fig
u
r
e
1
0
s
h
o
ws
a
n
o
v
els
s
im
u
latio
n
.
T
wo
b
u
tter
f
ly
-
s
h
ap
ed
s
cr
o
lls
in
Fig
u
r
e
1
0
,
an
d
f
o
u
r
b
u
tter
f
ly
-
s
h
ap
ed
s
cr
o
lls
in
Fig
u
r
e
1
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
3
,
Dec
em
b
er
20
24
:
1
5
0
3
-
1
5
1
1
1508
"Bu
tter
f
ly
ch
ao
s
"
in
th
e
b
r
ain
s
u
g
g
ests
th
at
ev
en
m
in
o
r
p
e
r
tu
r
b
atio
n
s
,
s
u
ch
as
f
l
u
ctu
atio
n
s
in
n
eu
r
al
ac
tiv
ity
o
r
s
y
n
ap
tic
co
n
n
ec
tio
n
s
,
ca
n
p
o
ten
tially
tr
ig
g
e
r
ca
s
ca
d
es
o
f
ch
ao
tic
ev
e
n
ts
th
at
d
is
r
u
p
t
th
e
b
r
ain
'
s
n
o
r
m
al
f
u
n
ctio
n
in
g
.
T
h
is
u
n
d
er
s
co
r
e
s
th
e
co
m
p
lex
ity
an
d
s
en
s
itiv
ity
o
f
th
e
b
r
ain
as
a
d
y
n
a
m
ic
s
y
s
tem
,
wh
er
e
m
u
ltip
le
f
ac
to
r
s
in
ter
ac
t in
c
o
m
p
lex
way
s
to
g
e
n
er
ate
in
tr
ica
te
an
d
s
o
m
etim
es u
n
p
r
ed
ictab
l
e
b
eh
av
io
r
s
.
C
ir
cu
it3
: w
e
in
ject
two
MO
SF
E
T
T
r
an
s
is
to
r
Fig
u
r
e
1
1
s
h
o
ws
th
e
MO
SF
E
T
tr
an
s
is
to
r
.
MO
SF
E
T
tr
an
s
is
to
r
s
p
lay
a
cr
u
cial
r
o
le
in
im
p
lem
en
tin
g
v
ar
io
u
s
co
m
p
o
n
en
ts
o
f
ar
tific
i
al
n
eu
r
al
n
etwo
r
k
s
,
r
an
g
in
g
f
r
o
m
n
eu
r
o
n
ac
tiv
atio
n
an
d
s
y
n
ap
tic
weig
h
tin
g
to
lear
n
in
g
an
d
ad
a
p
tatio
n
m
ec
h
an
is
m
s
.
T
h
eir
v
er
s
atility
an
d
s
ca
lab
ilit
y
m
ak
e
th
em
v
alu
ab
le
b
u
ild
in
g
b
lo
ck
s
f
o
r
r
ea
lizin
g
ef
f
icien
t a
n
d
p
o
wer
f
u
l n
eu
r
o
m
o
r
p
h
ic
co
m
p
u
tin
g
s
y
s
tem
s
.
−
Simu
latio
n
6:
Fig
u
r
e
1
2
s
h
o
ws
th
e
r
esu
lt o
f
s
im
u
latio
n
af
ter
we
in
ject
2
MO
SF
E
T
tr
an
s
is
to
r
.
Fig
u
r
e
9.
Diag
r
a
m
with
an
ast
ab
le
m
u
ltiv
ib
r
ato
r
in
p
r
o
teu
s
8
Fig
u
r
e
10.
B
u
tter
f
ly
ch
a
o
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
E
lectrica
l c
ir
cu
it a
p
p
r
o
a
ch
es to
mo
d
elin
g
b
r
a
in
ch
a
o
s
:
in
s
ig
h
ts
in
to
n
eu
r
a
l d
y
n
a
mics
(
K
a
o
u
th
er S
elmi
)
1509
Fig
u
r
e
11
.
C
ir
cu
it with
MO
SF
E
T
tr
an
s
is
to
r
Fig
u
r
e
12
.
Simu
latio
n
af
ter
i
n
jectin
g
MO
SF
E
T
tr
an
s
is
to
r
C
er
eb
r
al
lin
e
-
s
h
ap
e
d
ch
a
o
s
r
ef
er
s
to
i
r
r
eg
u
la
r
ch
a
o
tic
p
att
er
n
s
lin
ea
r
ly
m
an
if
esti
n
g
alo
n
g
s
p
ec
if
ic
p
ath
way
s
in
t
h
e
b
r
ain
.
T
h
ese
p
atter
n
s
ar
is
e
f
r
o
m
d
y
s
f
u
n
cti
o
n
al
n
eu
r
o
n
al
cir
cu
its
,
o
b
s
er
v
e
d
in
c
o
n
d
itio
n
s
lik
e
ep
ilep
s
y
o
r
Par
k
in
s
o
n
'
s
,
wh
er
e
er
r
atic
n
eu
r
al
ac
tiv
ity
p
r
o
p
a
g
ates
alo
n
g
s
p
ec
if
ic
b
r
ain
p
ath
way
s
.
Un
d
er
s
tan
d
in
g
s
u
ch
ch
a
o
s
is
v
ital
f
o
r
d
elin
ea
tin
g
n
eu
r
o
lo
g
ical
d
is
o
r
d
er
m
ec
h
an
is
m
s
,
aid
in
g
in
tr
ea
tm
en
t
s
tr
ateg
ies.
Ad
v
an
ce
d
b
r
ain
i
m
ag
in
g
tech
n
iq
u
es
lik
e
E
E
G
o
r
f
MRI
ar
e
cr
u
cial
f
o
r
v
is
u
a
lizin
g
an
d
s
tu
d
y
i
n
g
th
ese
ch
ao
tic
b
r
ain
p
atter
n
s
.
3
.
2
.
Dis
cus
s
io
ns
Ou
r
s
tu
d
y
s
u
g
g
ests
th
at
h
i
g
h
e
r
co
m
p
lex
ity
in
elec
tr
ical
cir
c
u
it
m
o
d
els,
in
d
icativ
e
o
f
in
c
r
e
ased
b
r
ain
ch
ao
s
,
is
n
o
t
n
ec
ess
ar
ily
ass
o
ciate
d
with
p
o
o
r
p
e
r
f
o
r
m
an
ce
in
n
e
u
r
al
d
y
n
am
ic
s
im
u
latio
n
s
.
On
th
e
co
n
tr
ar
y
,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
m
a
y
b
e
n
ef
it
f
r
o
m
h
eig
h
ten
e
d
c
h
ao
s
l
ev
els
with
o
u
t
ad
v
er
s
ely
im
p
a
ctin
g
th
e
f
id
elity
o
f
n
eu
r
al
d
y
n
a
m
ics.
T
h
is
f
i
n
d
in
g
co
n
tr
asts
with
p
r
io
r
r
esear
c
h
th
at
p
o
s
ited
a
n
eg
ativ
e
co
r
r
ela
tio
n
b
etwe
en
ch
a
o
s
an
d
p
er
f
o
r
m
an
ce
m
etr
ics
in
n
e
u
r
al
m
o
d
elin
g
.
B
y
h
ig
h
lig
h
tin
g
th
e
p
o
ten
tial
ad
v
an
tag
es
o
f
i
n
co
r
p
o
r
atin
g
ch
a
o
s
in
to
elec
tr
ical
cir
cu
it
-
b
ased
m
o
d
els,
o
u
r
s
tu
d
y
o
f
f
er
s
v
alu
ab
le
in
s
ig
h
ts
in
to
th
e
n
u
an
ce
d
r
e
latio
n
s
h
ip
b
etwe
en
n
eu
r
al
d
y
n
am
ics an
d
s
y
s
tem
co
m
p
lex
ity
.
T
h
e
m
an
if
estatio
n
o
f
ch
ao
s
in
co
u
p
led
o
s
cillato
r
n
etwo
r
k
s
[
1
6
]
-
[
2
2
]
h
o
l
d
s
p
r
o
f
o
u
n
d
im
p
lic
atio
n
s
f
o
r
o
u
r
u
n
d
e
r
s
tan
d
in
g
o
f
b
r
ain
f
u
n
ctio
n
.
I
t
p
r
o
v
id
es
a
le
n
s
th
r
o
u
g
h
wh
ich
we
ca
n
e
x
p
lo
r
e
h
o
w
th
e
c
o
llectiv
e
d
y
n
am
ics
o
f
n
eu
r
o
n
s
g
iv
e
r
is
e
to
p
h
e
n
o
m
en
a
s
u
ch
as
m
em
o
r
y
f
o
r
m
atio
n
,
s
en
s
o
r
y
p
r
o
ce
s
s
in
g
,
an
d
d
ec
is
io
n
-
m
ak
in
g
.
Mo
r
e
o
v
er
,
ch
a
o
tic
d
y
n
am
ics
m
ay
p
la
y
a
r
o
le
in
p
ath
o
lo
g
ical
s
tates
o
f
th
e
b
r
ai
n
,
in
clu
d
i
n
g
ep
ilep
s
y
an
d
Par
k
in
s
o
n
'
s
d
is
ea
s
e,
u
n
d
er
s
co
r
in
g
th
e
im
p
o
r
tan
ce
o
f
s
tu
d
y
in
g
ch
a
o
s
in
n
eu
r
o
lo
g
ical
co
n
tex
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
3
,
Dec
em
b
er
20
24
:
1
5
0
3
-
1
5
1
1
1510
T
h
e
co
m
b
in
ati
o
n
o
f
t
h
e
C
h
u
a
cir
cu
it
with
tu
n
n
el
d
io
d
es
o
f
f
e
r
s
s
ev
er
al
ad
v
an
tag
es
o
v
e
r
co
u
p
led
o
s
cillato
r
s
f
o
r
s
im
u
latin
g
b
r
ain
c
h
ao
s
[
19
]
,
[
21
]
:
−
No
n
lin
ea
r
ity
:
T
h
e
C
h
u
a
cir
c
u
it
co
m
b
in
ed
with
tu
n
n
el
d
io
d
es
in
h
er
en
tly
in
c
o
r
p
o
r
ates
n
o
n
li
n
ea
r
ity
,
wh
ic
h
is
a
f
u
n
d
am
e
n
tal
ch
ar
ac
ter
is
t
ic
o
f
n
e
u
r
al
d
y
n
am
ics.
T
h
is
n
o
n
lin
ea
r
it
y
allo
ws
f
o
r
t
h
e
em
u
latio
n
o
f
co
m
p
lex
s
y
n
ap
tic
in
ter
ac
tio
n
s
an
d
n
eu
r
o
n
al
b
eh
av
i
o
r
s
m
o
r
e
ac
cu
r
ately
,
w
h
ich
a
r
e
ess
en
tial
f
o
r
ca
p
t
u
r
in
g
ch
ao
tic
d
y
n
am
ics in
th
e
b
r
ain
.
−
R
o
b
u
s
t
ch
ao
s
g
en
e
r
atio
n
:
T
h
e
C
h
u
a
cir
cu
it
is
well
-
k
n
o
wn
f
o
r
its
ab
ilit
y
t
o
g
e
n
er
ate
ch
ao
tic
b
eh
av
i
o
r
u
n
d
er
ce
r
tain
p
ar
am
eter
r
e
g
im
es.
B
y
in
co
r
p
o
r
atin
g
tu
n
n
el
d
io
d
es,
wh
ich
in
tr
o
d
u
ce
ad
d
itio
n
a
l
n
o
n
lin
ea
r
ities
,
th
e
cir
cu
it
ca
n
p
r
o
d
u
ce
ev
en
r
ich
er
an
d
m
o
r
e
d
iv
er
s
e
ch
ao
tic
d
y
n
am
ics.
I
n
c
o
n
tr
ast,
wh
ile
co
u
p
led
o
s
cillato
r
s
ca
n
ex
h
ib
i
t
ch
ao
tic
b
eh
av
i
o
r
,
ac
h
iev
in
g
r
o
b
u
s
t
c
h
ao
s
g
e
n
er
atio
n
m
ay
r
eq
u
ir
e
ca
r
ef
u
l
tu
n
in
g
o
f
p
a
r
am
eter
s
an
d
n
etwo
r
k
co
n
n
ec
tiv
ity
.
−
Simp
licity
an
d
s
ca
lab
ilit
y
:
T
h
e
C
h
u
a
cir
cu
it
with
tu
n
n
el
d
io
d
es
o
f
f
e
r
s
a
r
elativ
ely
s
im
p
l
e
an
d
s
ca
lab
l
e
f
r
am
ewo
r
k
f
o
r
m
o
d
elin
g
b
r
ain
ch
ao
s
.
T
h
e
cir
cu
it c
o
m
p
o
n
en
t
s
ca
n
b
e
ea
s
ily
im
p
lem
en
ted
a
n
d
ad
ju
s
ted
i
n
h
ar
d
war
e
o
r
s
im
u
lated
in
s
o
f
twar
e.
I
n
co
n
tr
ast,
co
u
p
le
d
o
s
cillato
r
m
o
d
els
o
f
ten
in
v
o
lv
e
co
m
p
le
x
n
etwo
r
k
ar
ch
itectu
r
es
an
d
p
a
r
am
eter
d
ep
en
d
e
n
cies,
m
ak
in
g
th
em
m
o
r
e
ch
allen
g
in
g
to
i
m
p
lem
en
t
an
d
an
aly
ze
,
esp
ec
ially
f
o
r
lar
g
e
-
s
ca
le
s
im
u
latio
n
s
.
−
E
x
p
er
im
en
tal
v
alid
atio
n
:
T
h
e
C
h
u
a
cir
cu
it
with
tu
n
n
el
d
io
d
es
ca
n
b
e
r
ea
d
ily
im
p
lem
e
n
ted
in
la
b
o
r
ato
r
y
ex
p
er
im
en
ts
u
s
in
g
elec
tr
o
n
ic
c
ir
cu
its
.
T
h
is
allo
ws
r
esear
ch
e
r
s
to
v
alid
ate
th
e
m
o
d
el'
s
p
r
ed
i
ctio
n
s
ag
ain
s
t
em
p
ir
ical
d
ata
f
r
o
m
r
e
al
-
wo
r
ld
m
ea
s
u
r
em
e
n
ts
,
p
r
o
v
id
in
g
v
alu
ab
le
in
s
ig
h
ts
in
to
t
h
e
c
o
r
r
esp
o
n
d
e
n
ce
b
etwe
en
th
e
s
im
u
lated
d
y
n
am
ics
an
d
ac
tu
al
b
r
ain
ac
t
iv
ity
.
C
o
u
p
led
o
s
cillato
r
m
o
d
els,
wh
ile
th
eo
r
etica
lly
g
r
o
u
n
d
ed
,
m
ay
lack
d
ir
ec
t
e
x
p
er
im
e
n
tal
v
a
lid
atio
n
d
u
e
to
th
e
d
if
f
icu
lt
y
o
f
p
r
ec
is
ely
co
n
tr
o
llin
g
a
n
d
m
ea
s
u
r
in
g
n
eu
r
al
n
etwo
r
k
d
y
n
a
m
ics
[
2
3
]
,
[
2
4
]
.
−
Flex
ib
ilit
y
an
d
a
d
ap
tab
ilit
y
:
T
h
e
C
h
u
a
cir
c
u
it
[
2
5
]
with
tu
n
n
el
d
io
d
es
o
f
f
er
s
f
le
x
ib
ilit
y
in
ter
m
s
o
f
p
ar
am
eter
tu
n
in
g
a
n
d
cir
cu
it
co
n
f
ig
u
r
atio
n
s
.
R
esear
ch
er
s
ca
n
ea
s
ily
m
o
d
if
y
th
e
cir
cu
it
to
p
o
lo
g
y
an
d
co
m
p
o
n
en
t
v
alu
es
to
s
im
u
late
d
if
f
e
r
en
t
asp
ec
ts
o
f
b
r
ain
d
y
n
am
ics
o
r
to
m
atch
s
p
ec
if
ic
ex
p
e
r
im
en
tal
o
b
s
er
v
atio
n
s
.
I
n
c
o
n
tr
ast,
co
u
p
led
o
s
cillato
r
m
o
d
els
m
a
y
b
e
m
o
r
e
r
ig
id
in
th
eir
s
tr
u
ctu
r
e
an
d
less
ad
ap
tab
le
to
c
h
an
g
es in
m
o
d
el
in
g
ass
u
m
p
tio
n
s
o
r
e
x
p
er
im
e
n
tal
co
n
d
itio
n
s
.
4.
CO
NCLU
SI
O
N
R
ec
en
t
o
b
s
er
v
atio
n
s
s
u
g
g
est
th
at
th
e
ap
p
licatio
n
o
f
elec
tr
ical
cir
cu
it
ap
p
r
o
ac
h
es
to
m
o
d
el
b
r
ain
ch
ao
s
o
f
f
e
r
s
s
ig
n
if
ican
t
in
s
ig
h
ts
in
to
n
eu
r
al
d
y
n
am
ics.
Ou
r
f
in
d
in
g
s
p
r
o
v
id
e
c
o
n
clu
s
iv
e
ev
id
en
ce
t
h
at
th
e
p
h
en
o
m
en
o
n
o
f
c
h
ao
tic
b
eh
av
io
r
with
in
n
eu
r
al
s
y
s
tem
s
is
ass
o
ciate
d
with
d
y
n
am
ic
ch
an
g
e
s
in
n
e
u
r
al
ac
tiv
ity
,
r
ath
er
th
an
b
ein
g
s
o
lely
attr
ib
u
tab
le
to
elev
ated
n
u
m
b
er
s
o
f
s
y
n
ap
tic
co
n
n
ec
tio
n
s
.
B
y
elu
cid
atin
g
th
e
u
n
d
er
ly
i
n
g
m
ec
h
an
is
m
s
d
r
iv
i
n
g
n
eu
r
al
ch
ao
s
a
n
d
its
im
p
lica
tio
n
s
f
o
r
b
r
ain
f
u
n
ctio
n
,
o
u
r
s
tu
d
y
c
o
n
tr
ib
u
tes
to
a
d
ee
p
er
u
n
d
er
s
tan
d
in
g
o
f
th
e
co
m
p
lex
d
y
n
am
ics
g
o
v
er
n
in
g
n
eu
r
al
n
etwo
r
k
s
.
T
h
ese
in
s
ig
h
ts
h
o
ld
p
r
o
m
is
e
f
o
r
th
e
d
ev
elo
p
m
en
t
o
f
m
o
r
e
ac
cu
r
ate
an
d
b
i
o
lo
g
ically
p
lau
s
ib
le
m
o
d
els
o
f
b
r
ain
f
u
n
cti
o
n
,
with
p
o
ten
tial
ap
p
licatio
n
s
in
v
ar
i
o
u
s
f
ield
s
r
an
g
in
g
f
r
o
m
n
eu
r
o
s
cien
ce
to
a
r
tific
ial
in
tellig
en
ce
.
RE
F
E
R
E
NC
E
S
[
1
]
A
.
P
e
t
r
o
v
a
s,
S
.
Li
sa
u
s
k
a
s
,
a
n
d
A
.
S
l
e
p
i
k
a
s
,
“
El
e
c
t
r
o
n
i
c
m
o
d
e
l
o
f
F
i
t
z
H
u
g
h
-
N
a
g
u
mo
n
e
u
r
o
n
,
”
El
e
k
t
ro
n
i
k
a
i
r
E
l
e
k
t
r
o
t
e
c
h
n
i
k
a
,
v
o
l
.
1
2
2
,
n
o
.
6
,
p
p
.
1
1
7
–
1
2
0
,
J
u
n
.
2
0
1
2
,
d
o
i
:
1
0
.
5
7
5
5
/
j
0
1
.
e
e
e
.
1
2
2
.
6
.
1
8
3
5
.
[
2
]
E.
T
a
maš
e
v
i
c
i
u
t
e
,
A
.
Ta
m
a
še
v
i
c
i
u
s,
G
.
M
y
k
o
l
a
i
t
i
s,
S
.
B
u
m
e
l
i
e
n
e
,
R
.
K
i
r
v
a
i
t
i
s,
a
n
d
R
.
S
t
o
o
p
,
“
El
e
c
t
r
o
n
i
c
a
n
a
l
o
g
o
f
t
h
e
F
i
t
z
H
u
g
h
–
N
a
g
u
mo
n
e
u
r
o
n
mo
d
e
l
a
n
d
n
o
n
i
n
v
a
si
v
e
c
o
n
t
r
o
l
o
f
i
t
s
s
t
e
a
d
y
s
t
a
t
e
,
”
I
n
Pr
o
c
.
o
f
t
h
e
1
7
t
h
I
n
t
.
W
o
rks
h
o
p
o
n
N
o
n
l
i
n
e
a
r
D
y
n
a
m
i
c
s
o
f
El
e
c
t
r
o
n
i
c
S
y
st
e
m
s
,
p
p
.
2
1
–
2
4
,
2
0
0
9
.
[
3
]
Y
.
L.
M
a
i
s
t
r
e
n
k
o
,
O
.
V
.
P
o
p
o
v
y
c
h
,
a
n
d
P
.
A
.
Ta
ss
,
“
C
h
a
o
t
i
c
a
t
t
r
a
c
t
o
r
i
n
t
h
e
K
u
r
a
m
o
t
o
mo
d
e
l
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Bi
f
u
rc
a
t
i
o
n
a
n
d
C
h
a
o
s
i
n
Ap
p
l
i
e
d
S
c
i
e
n
c
e
s
a
n
d
E
n
g
i
n
e
e
ri
n
g
,
v
o
l
.
1
5
,
n
o
.
1
1
,
p
p
.
3
4
5
7
–
3
4
6
6
,
N
o
v
.
2
0
0
5
,
d
o
i
:
1
0
.
1
1
4
2
/
S
0
2
1
8
1
2
7
4
0
5
0
1
4
1
5
5
.
[
4
]
Q
.
Li
,
X
.
S
.
Y
a
n
g
,
a
n
d
F
.
Y
a
n
g
,
“
H
y
p
e
r
c
h
a
o
s
i
n
H
o
p
f
i
e
l
d
-
t
y
p
e
n
e
u
r
a
l
n
e
t
w
o
r
k
s,
”
N
e
u
r
o
c
o
m
p
u
t
i
n
g
,
v
o
l
.
6
7
,
n
o
.
1
-
4
S
U
P
P
L.
,
p
p
.
2
7
5
–
2
8
0
,
A
u
g
.
2
0
0
5
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
n
e
u
c
o
m
.
2
0
0
5
.
0
2
.
0
0
9
.
[
5
]
A
.
A
t
a
n
g
a
n
a
,
G
.
B
o
u
a
l
l
e
g
u
e
,
a
n
d
K
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23
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tal,
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rti
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c
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n
b
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c
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tac
ted
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a
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:
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fr
.
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