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stu
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w
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s
:
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Neu
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Vir
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A
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:
Yasir
M.
A
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T
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No
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Stre
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E
m
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m
.
ab
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.
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u
.
iq
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
b
r
ain
is
an
ess
en
tial
p
ar
t
o
f
th
e
h
u
m
an
b
o
d
y
,
w
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co
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ls
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t,
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lates
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eq
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ilib
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iu
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o
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u
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a
n
b
o
d
y
.
T
h
e
b
r
ain
p
r
o
v
id
es
co
g
n
i
tio
n
;
e
x
u
d
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e
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o
tio
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s
;
s
to
r
es
m
e
m
o
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ies
a
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ir
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ts
m
u
s
c
u
lar
o
r
m
o
to
r
ac
t
iv
itie
s
[
1
]
.
T
h
er
e
ar
e
o
v
er
8
6
b
illi
o
n
n
e
u
r
o
n
s
i
n
t
h
e
av
er
a
g
e
h
u
m
a
n
b
r
ain
,
an
d
th
er
e
ar
e
v
ar
io
u
s
o
th
er
ce
lls
,
w
h
ic
h
al
m
o
s
t
eq
u
al
th
at
n
u
m
b
er
to
o
.
T
h
e
in
ter
co
n
n
ec
tio
n
o
f
n
eu
r
o
n
s
is
cr
u
cia
l
f
o
r
b
r
ain
ac
tiv
i
t
y
,
as
th
e
s
e
n
eu
r
o
n
s
f
o
r
m
a
n
as
s
o
ciativ
e
l
i
n
k
b
et
w
ee
n
b
r
ain
ce
ll
s
[
2
]
.
Fig
u
r
e
1
[
3
]
,
s
h
o
w
s
th
e
clas
s
i
f
i
ca
tio
n
o
f
t
h
e
h
u
m
a
n
b
r
ain
,
w
h
ich
d
e
f
in
e
s
r
eg
io
n
s
w
it
h
in
t
h
e
b
r
ain
a
s
th
e
f
o
r
eb
r
ain
,
m
id
b
r
ain
,
a
n
d
h
in
d
b
r
ain
.
T
h
e
Mid
b
r
ain
m
o
s
t
l
y
co
m
p
r
is
es
o
f
a
p
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r
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f
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e
b
r
ain
s
te
m
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w
h
ich
co
n
tr
o
ls
s
o
m
e
r
ef
le
x
ac
tio
n
s
an
d
is
a
p
o
r
tio
n
o
f
t
h
e
cir
c
u
it;
co
n
ce
r
n
ed
w
it
h
t
h
e
r
e
g
u
latio
n
o
f
e
y
e
m
o
v
e
m
e
n
ts
a
n
d
o
th
er
v
o
lu
n
tar
y
m
o
v
e
m
e
n
ts
.
T
h
e
g
e
n
er
al
d
ef
i
n
itio
n
o
f
th
e
(
b
r
ain
)
h
e
m
i
s
p
h
er
e
h
ap
p
en
s
in
to
f
o
u
r
lo
b
es,
n
a
m
e
l
y
–
t
h
e
f
r
o
n
tal
lo
b
e,
p
ar
ietal
lo
b
e,
tem
p
o
r
al
lo
b
e
an
d
o
cc
ip
ital
lo
b
e
[
4
]
.
P
er
ce
p
tio
n
in
v
o
l
v
es
s
e
n
s
i
n
g
th
e
s
ig
n
al
s
f
r
o
m
th
e
ex
ter
n
al
en
v
ir
o
n
m
en
t
an
d
is
th
e
m
aj
o
r
f
u
n
ctio
n
o
f
t
h
e
h
u
m
a
n
b
r
ain
,
w
h
ic
h
is
at
th
e
co
r
e
o
f
u
n
d
er
s
tan
d
i
n
g
h
u
m
a
n
s
en
s
es,
f
ee
l
in
g
a
n
d
e
m
o
tio
n
.
Fu
r
t
h
er
m
o
r
e,
r
e
g
u
l
atin
g
a
n
d
co
n
tr
o
lli
n
g
t
h
e
h
u
m
a
n
b
eh
a
v
io
u
r
s
;
re
g
u
lat
in
g
an
d
co
n
tr
o
lli
n
g
p
h
y
s
ical
ac
tio
n
s
;
r
e
g
u
la
tin
g
m
e
m
o
r
y
f
u
n
ctio
n
s
;
t
h
e
m
et
h
o
d
o
f
th
in
k
i
n
g
a
n
d
o
th
er
r
ea
s
o
n
in
g
p
r
o
ce
s
s
e
s
[
5
]
.
Me
d
i
ca
l
p
r
o
f
ess
io
n
als
u
s
e
E
lec
tr
o
en
ce
p
h
alo
g
r
ap
h
y
(
E
E
G)
to
d
ia
g
n
o
s
e
ab
n
o
r
m
a
liti
e
s
in
h
u
m
a
n
lif
e
[
6
]
.
E
E
G
is
a
n
elec
tr
o
p
h
y
s
io
lo
g
ical
m
o
n
it
o
r
in
g
tec
h
n
iq
u
e
th
a
t
lo
g
s
t
h
e
elec
tr
ical
s
ig
n
al
s
e
m
an
a
tin
g
f
r
o
m
t
h
e
b
r
ain
.
E
E
G
s
en
s
e
s
th
e
elec
tr
ical
p
o
ten
tial
d
if
f
er
en
ce
r
es
u
lti
n
g
f
r
o
m
n
e
u
r
o
lo
g
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io
n
i
c
cu
r
r
en
ts
p
r
o
d
u
ce
d
b
y
t
h
e
b
r
ai
n
[
7
]
.
E
E
G
p
r
o
v
id
es
an
a
u
to
m
atic
r
ea
l
-
ti
m
e
r
ec
o
r
d
in
g
o
f
t
h
e
b
r
ain
's
elec
tr
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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T
E
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KOM
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A
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elec
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m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
2
,
A
p
r
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0
2
0
:
9
1
9
-
92
7
920
ac
tiv
it
y
u
s
in
g
m
u
lt
ip
le
elec
tr
o
d
es
p
o
s
itio
n
ed
o
n
th
e
s
ca
lp
[
8
]
.
T
h
e
p
ast
f
e
w
y
ea
r
s
h
a
v
e
s
e
en
a
r
ap
id
p
r
o
g
r
ess
o
f
E
E
G
-
b
ased
B
C
I
;
t
h
at
m
ete
o
r
ic
r
is
e
p
ar
tly
a
ttrib
u
te
s
to
co
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p
u
ter
p
r
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s
s
i
n
g
an
d
s
p
ee
d
i
m
p
r
o
v
e
m
e
n
t
s
;
also
,
th
at
i
s
d
u
e
to
s
ig
n
a
l
a
n
al
y
s
i
s
t
ec
h
n
iq
u
e
r
ef
in
e
m
e
n
ts
.
T
h
at
wo
r
k
h
as
p
r
o
d
u
ce
d
r
esu
lts
w
it
h
ap
p
licab
le
clin
ical
ap
p
licatio
n
s
[
9
]
.
B
C
I
is
a
r
ev
o
lu
tio
n
ar
y
tec
h
n
o
lo
g
y
,
w
h
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h
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ea
d
s
th
e
u
s
er
's
m
in
d
d
ir
ec
tl
y
f
r
o
m
t
h
e
b
r
ai
n
a
n
d
tr
an
s
f
o
r
m
s
to
t
h
e
co
m
m
a
n
d
s
o
f
a
co
n
tr
o
llab
le
d
ev
ice,
b
y
p
a
s
s
in
g
t
h
e
p
er
ip
h
er
al
n
eu
r
al
s
y
s
te
m
[
1
0
]
.
T
h
e
m
o
to
r
i
m
a
g
er
y
b
ased
B
C
I
s
y
s
te
m
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s
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en
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[
1
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[
1
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;
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u
r
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1
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[
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ased
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2.
RE
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2
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1
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p
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x
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t
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tab
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ip
[
1
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.
T
w
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[
1
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,
2
0]
.
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[
2
1]
.
T
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Fig
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3
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[
22
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Fig
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2
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Fig
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3
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2
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2
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3
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[
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m
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[6
,
2
4
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.
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I
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s A
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2
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.
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.
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3
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.
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s,
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P
.
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d
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.
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ter,
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Bra
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m
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ter In
terf
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In
t.
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.
o
f
Ad
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n
Res
e
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in
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trica
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.
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4
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p
.
1
7
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–
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7
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0
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6
.
[1
4
]
F
.
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k
ra
m
,
M
.
K.
M
e
tw
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ll
y
,
H.
S
.
Ha
n
,
H.
J.
Je
o
n
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n
d
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.
S
.
Kim
,
“
A
No
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3
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b
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d
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t
.
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ter
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rk
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in
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ter
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ter
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e
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p
.
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4
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5
,
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0
1
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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K
A
T
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927
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a
n
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a
n
d
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.
Yin
,
“
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icle
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y
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to
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im
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g
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r
y
EE
G
b
a
se
d
BCI
sy
ste
m
,
”
Ch
in
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se
Co
n
t
ro
l
Co
n
f.
,
p
p
.
5
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4
5
4
,
2
0
1
7
.
[1
6
]
A
.
T
u
rn
ip
,
D.
S
o
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trap
ra
w
a
ta,
M
.
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u
rn
ip
,
a
n
d
E.
J
o
e
li
a
n
t
o
,
“
EE
G
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b
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se
d
b
ra
in
-
c
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tr
o
ll
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d
w
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lch
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ir
w
it
h
f
o
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r
Diff
e
r
e
n
t
S
ti
m
u
li
F
re
q
u
e
n
c
ies
,
”
I
n
ter
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two
rk
in
g
In
d
o
n
e
s.
J
.
,
v
o
l.
8
,
n
o
.
1
,
p
p
.
6
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–
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9
,
2
0
1
6
.
[1
7
]
R.
Ra
j,
S
.
De
b
,
a
n
d
P
.
Bh
a
tt
a
c
h
a
ry
a
,
“
Bra
in
Co
m
p
u
ter
In
terf
a
c
e
d
S
in
g
le
Ke
y
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m
n
i
Dire
c
ti
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a
l
P
o
in
t
in
g
a
n
d
Co
m
m
a
n
d
S
y
ste
m
:
A
S
c
r
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n
P
o
in
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g
In
terf
a
c
e
f
o
r
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ff
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re
n
tl
y
-
a
b
led
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rso
n
,
”
P
ro
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e
d
ia
Co
m
p
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t
.
S
c
i.
,
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l.
1
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3
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p
p
.
1
6
1
-
1
6
8
,
2
0
1
8
.
[1
8
]
L
.
Zh
a
n
g
,
Q.
L
v
,
a
n
d
Y.
Xu
,
“
S
in
g
le
Ch
a
n
n
e
l
Bra
in
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m
p
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te
r
In
terf
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c
e
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tro
l
S
y
ste
m
B
a
s
e
d
o
n
T
GA
M
M
o
d
u
l
e
,
”
Pro
c
.
-
2
0
1
7
1
0
th
In
t.
C
o
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g
r.
Im
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g
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ig
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l
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o
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d
.
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g
.
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n
f
o
rm
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ti
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s
,
v
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l.
2
0
1
8
,
p
p
.
1
–
5
,
2
0
1
8
.
[1
9
]
M
.
H.
Ha
sb
u
lah
,
F
.
A
.
Ja
f
a
r,
M
.
H.
No
rd
in
,
a
n
d
K.
Yo
k
o
ta,
“
Bra
in
-
Co
n
tr
o
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d
f
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r
Ch
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o
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lar
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n
f
ig
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ra
ti
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n
b
y
Em
p
lo
y
in
g
Ne
u
ro
sk
y
’s
He
a
d
se
t
,
”
In
t.
J
.
Ad
v
.
C
o
mp
.
S
c
i.
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l
,
v
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l.
1
0
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o
.
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p
p
.
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.
[2
0
]
R.
A
.
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m
a
d
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d
A
.
V
.
V
a
s
il
a
k
o
s,
“
Bra
in
Co
m
p
u
ter
I
n
terf
a
c
e
:
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n
tr
o
l
S
ig
n
a
ls
Re
v
iew
,
”
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e
u
ro
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o
mp
u
ti
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g
,
v
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l.
2
2
3
,
p
p
.
2
6
-
4
4
,
2
0
1
7
.
[2
1
]
J.
Ka
to
n
a
,
T
.
Uj
b
a
n
y
i,
G
.
S
z
il
a
d
i,
a
n
d
A
.
Ko
v
a
ri,
“
S
p
e
e
d
Co
n
tr
o
l
o
f
F
e
sto
Ro
b
o
ti
n
o
M
o
b
il
e
Ro
b
o
t
u
sin
g
Ne
u
ro
S
k
y
M
in
d
W
a
v
e
EE
G
H
e
a
d
se
t
Ba
se
d
Bra
in
-
Co
m
p
u
ter In
terf
a
c
e
,”
IEE
E
In
t.
C
o
n
f.
C
o
g
n
.
I
n
fo
c
o
mm
u
,
p
p
.
2
5
1
-
2
5
6
,
2
0
1
7
.
[2
2
]
D.
M
a
rti
n
e
z
-
m
a
ra
d
iag
a
,
a
n
d
G
.
M
e
i
x
n
e
r
“
M
o
rp
h
e
u
s
A
lert
:
A
S
m
a
rtp
h
o
n
e
A
p
p
li
c
a
ti
o
n
f
o
r
P
re
v
e
n
ti
n
g
M
icro
sle
e
p
in
g
w
it
h
a
Bra
in
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Co
m
p
u
ter
-
In
terf
a
c
e
,
”
4
th
In
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
S
y
ste
ms
a
n
d
I
n
f
o
rm
a
ti
c
s (
ICS
AI)
,
p
p
.
1
3
7
–
1
4
2
,
2
0
1
7
.
[2
3
]
E.
C.
Dja
m
a
l,
D.
P
.
G
u
stiaw
a
n
,
a
n
d
D.
Dja
jas
a
s
m
it
a
,
“
S
ig
n
if
ica
n
t
V
a
riab
les
Ex
trac
ti
o
n
o
f
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o
st
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S
tr
o
k
e
EE
G
S
ig
n
a
l
u
sin
g
W
a
v
e
le
t
a
n
d
S
OM
K
o
h
o
n
e
n
,
”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
El
e
c
tro
n
ic
s
a
n
d
C
o
n
tr
o
l
,
v
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l.
1
7
,
n
o
.
3
,
p
p
.
1
1
4
9
-
1
1
5
8
,
2
0
1
9
.
[2
4
]
H.
F
a
u
z
i
,
e
t
a
l
.
,
“
En
e
rg
y
Ex
tr
a
c
ti
o
n
M
e
t
h
o
d
f
o
r
EE
G
Ch
a
n
n
e
l
S
e
lec
ti
o
n
,
”
T
E
L
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
t
in
g
El
e
c
tro
n
ics
a
n
d
C
o
n
tr
o
l
,
v
o
l
.
1
7
,
n
o
.
5
,
p
p
.
2
5
6
1
-
2
5
7
1
,
2
0
1
9
.
[2
5
]
V
.
I
.
C
h
e
rian
,
“
A
n
a
ly
si
s
o
f
Tex
t
En
try
P
e
rf
o
rm
a
n
c
e
M
e
tri
c
s”
A
h
m
e
d
,
J.
S
o
c
.
P
sy
c
h
o
l.
,
v
o
l.
1
3
2
,
n
o
.
2
,
p
p
.
2
7
1
–
2
7
3
,
2
0
0
9
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
Dr
.
T
h
a
i
r
Ali
S
a
li
h
r
e
c
e
i
v
e
d
th
e
M
S
c
.
De
g
re
e
in
Co
m
m
u
n
ica
ti
o
n
e
n
g
i
n
e
e
rin
g
f
ro
m
th
e
T
e
c
h
n
o
lo
g
y
Un
iv
e
rsit
y
in
1
9
8
6
.
He
re
c
e
iv
e
d
th
e
P
h
.
D
.
d
e
g
re
e
in
Co
m
m
u
n
ica
ti
o
n
f
ro
m
th
e
A
lep
p
o
Un
iv
e
rsity
in
2
0
1
0
.
Cu
rre
n
tl
y
,
h
e
is
a
L
e
c
tu
re
r
a
t
T
e
c
h
n
ica
l
Co
ll
e
g
e
/M
o
su
l
.
His res
e
a
rc
h
in
tere
sts in
c
lu
d
e
s
p
r
e
a
d
sp
e
c
tru
m
s
y
st
e
m
s a
n
d
ro
b
o
ti
c
sy
ste
m
Y
a
sir
M
u
slih
A
b
d
a
l,
is
a
f
in
a
l
y
e
a
r
M
S
c
.
stu
d
e
n
t,
p
u
rsu
i
n
g
h
is
M
a
ste
r
o
f
T
e
c
h
n
o
l
o
g
y
(M
.
T
e
c
h
)
De
g
re
e
in
Co
m
p
u
ter
T
e
c
h
n
o
l
o
g
y
En
g
in
e
e
rin
g
a
t
th
e
T
e
c
h
n
ica
l
En
g
i
n
e
e
rin
g
Co
ll
e
g
e
o
f
M
o
su
l
No
rth
e
rn
T
e
c
h
n
ica
l
Un
iv
e
rsity
.
His
re
s
e
a
rc
h
in
tere
sts
re
v
o
lv
e
d
a
ro
u
n
d
b
i
o
-
si
g
n
a
l
p
ro
c
e
ss
in
g
a
n
d
c
o
m
p
u
ter
-
b
ra
in
i
n
terf
a
c
e
.
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