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F103590491
spm_DEM_MEG.m
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Created
Mon, Mar 3, 05:16
Size
2 KB
Mime Type
text/plain
Expires
Wed, Mar 5, 05:16 (22 h, 40 m)
Engine
blob
Format
Raw Data
Handle
24620258
Attached To
R6832 iCAPs public
spm_DEM_MEG.m
View Options
function
[
R
]
=
spm_DEM_MEG
(
DEM
,
dt
,
n
,
graphics
)
%
as
for
spm_DEM_EEG
but
plots
the
causal
and
hidden
errors
%
FORMAT
[
R
]
=
spm_DEM_MEG
(
DEM
,
dt
,
n
,
graphics
)
%
DEM
-
DEM
structure
%
dt
-
time
bin
(
seconds
)
%
n
-
level
[
s
]
%
g
-
graphics
switch
%
%
R
{
i
}
-
response
over
peri
-
stimulus
time
(
whitened
error
)
:
level
i
%
%
These
simulated
response
assume
that
LFPs
are
generated
by
superficial
%
pyramidal
cells
that
correspond
to
units
encoding
precision
-
weighted
%
prediction
error
.
%
%
see
also
spm_DEM_ERP
%
__________________________________________________________________________
%
Copyright
(
C
)
2008
Wellcome
Trust
Centre
for
Neuroimaging
%
Karl
Friston
%
$Id:
spm_DEM_MEG
.
m
4187
2011
-
02
-
01
20
:
13
:
57
Z
karl
$
%
defaults
%--------------------------------------------------------------------------
if
~
nargout
;
graphics
=
1
;
end
try
dt
;
catch
try
dt
=
DEM
.
U
.
dt
;
catch
dt
=
1
;
end
end
try
,
n
;
catch
,
n
=
1
;
end
try
,
graphics
;
catch
,
graphics
=
0
;
end
%
loop
over
hierarchical
(
cortical
)
levels
%--------------------------------------------------------------------------
if
graphics
,
hold
off
;
end
z
=
DEM
.
qU
.
z
;
w
=
DEM
.
qU
.
w
;
pst
=
[
1
:
size
(
z
{
1
},
2
)]
*
dt
*
1000
;
for
k
=
1
:
length
(
n
)
%
level
%----------------------------------------------------------------------
i
=
n
(
k
);
%
precisions
%----------------------------------------------------------------------
V
=
DEM
.
M
(
i
).
V
;
h
=
DEM
.
M
(
i
).
hE
;
for
j
=
1
:
length
(
h
)
V
=
V
+
DEM
.
M
(
i
).
Q
{
j
}
*
exp
(
h
(
j
));
end
%
precisions
%----------------------------------------------------------------------
W
=
DEM
.
M
(
i
).
W
;
g
=
DEM
.
M
(
i
).
gE
;
for
j
=
1
:
length
(
DEM
.
qH
.
g
{
i
})
W
=
W
+
DEM
.
M
(
i
).
R
{
j
}
*
exp
(
g
(
j
));
end
%
ERPs
%----------------------------------------------------------------------
R
{
k
,
1
}
=
spm_sqrtm
(
V
)
*
z
{
i
};
try
R
{
k
,
2
}
=
spm_sqrtm
(
W
)
*
w
{
i
};
end
if
graphics
plot
(
pst
,
R
{
k
,
1
},
'r'
),
hold
on
try
plot
(
pst
,
R
{
k
,
2
},
'
r:
'
)
end
end
end
%
labels
%--------------------------------------------------------------------------
if
graphics
xlabel
(
'
peristimulus
time
(
ms
)
'
)
ylabel
(
'
LFP
(
micro
-
volts
)
'
)
box
on
hold
off
drawnow
end
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