NeuroImage,
Journal Year:
2022,
Volume and Issue:
257, P. 119305 - 119305
Published: May 11, 2022
The
self
is
characterized
by
an
intrinsic
temporal
component
consisting
in
continuity
across
time.
On
the
neural
level,
this
manifests
brain's
timescales
(INT)
that
can
be
measured
autocorrelation
window
(ACW).
Recent
EEG
studies
reveal
a
relationship
between
resting
state
ACW
and
self-consciousness.
However,
it
remains
unclear
whether
exhibits
different
degrees
of
task-related
changes
during
self-specific
compared
to
non-self-specific
activities.
To
end,
participants
our
study
initially
recorded
eight-minute
autobiographical
narrative.
Following
resting-state
session,
were
presented
with
their
own
narrative
stranger
while
undergoing
concurrent
recording.
Behaviorally,
subjects
evaluated
both
narratives
indicated
perceptions
positivity
or
negativity
on
moment-to-moment
basis
positioning
cursor
relative
center
computer
screen.
Our
results
indicate:
(a)
greater
spatial
extension
velocity
behavioral
movement
assessment
non-self
assessment;
(b)
longer
ACWs
response
self-
rest.
These
findings
demonstrate
importance
windows
activity
for
self-specificity.
More
broadly,
highlight
relevance
level.
Such
may,
correspondingly,
also
manifest
psychological
level
as
"common
currency"
brain
self.
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(2)
Published: Jan. 13, 2023
Identifying
the
functional
specialization
of
brain
has
moved
from
using
cognitive
tasks
and
resting
state
to
ecological
relevant,
naturalistic
movies.
We
leveraged
a
large-scale
neuroimaging
dataset
directly
investigate
hierarchical
reorganization
activity
when
watching
films
compared
performing
seven
resting.
A
thermodynamics-inspired
whole-brain
model
paradigm
revealed
generative
underlying
mechanisms
for
changing
balance
in
causal
interactions
between
regions
different
conditions.
Paradoxically,
hierarchy
is
flatter
movie-watching,
level
nonreversibility
significantly
smaller
comparison
both
rest
tasks,
where
latter
turn
have
highest
levels
nonreversibility.
The
were
by
model-based
effective
connectivity
(GEC).
Naturalistic
could
therefore
provide
fast
convenient
way
measure
important
changes
GEC
(integrating
anatomical
connectivity)
found
in,
example,
neuropsychiatric
disorders.
Overall,
this
study
demonstrates
benefits
moving
toward
more
neuroscience.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 4, 2024
It
is
widely
believed
the
brain-inspired
spiking
neural
networks
have
capability
of
processing
temporal
information
owing
to
their
dynamic
attributes.
However,
how
understand
what
kind
mechanisms
contributing
learning
ability
and
exploit
rich
properties
satisfactorily
solve
complex
computing
tasks
in
practice
still
remains
be
explored.
In
this
article,
we
identify
importance
capturing
multi-timescale
components,
based
on
which
a
multi-compartment
model
with
dendritic
heterogeneity,
proposed.
The
enables
dynamics
by
automatically
heterogeneous
timing
factors
different
branches.
Two
breakthroughs
are
made
through
extensive
experiments:
working
mechanism
proposed
revealed
via
an
elaborated
XOR
problem
analyze
feature
integration
at
levels;
comprehensive
performance
benefits
over
ordinary
achieved
several
benchmarks
for
speech
recognition,
visual
electroencephalogram
signal
robot
place
shows
best-reported
accuracy
compactness,
promising
robustness
generalization,
high
execution
efficiency
neuromorphic
hardware.
This
work
moves
significant
step
toward
real-world
applications
appropriately
exploiting
biological
observations.
Translational Psychiatry,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 5, 2024
Abstract
Major
depressive
disorder
(MDD)
is
characterized
by
a
multitude
of
psychopathological
symptoms
including
affective,
cognitive,
perceptual,
sensorimotor,
and
social.
The
neuronal
mechanisms
underlying
such
co-occurrence
remain
yet
unclear.
Rather
than
linking
localizing
single
to
specific
regions
or
networks,
this
perspective
proposes
more
global
dynamic
topographic
approach.
We
first
review
recent
findings
on
brain
activity
changes
during
both
rest
task
states
in
MDD
showing
reorganization
with
shift
from
unimodal
transmodal
regions.
Next,
we
out
two
candidate
that
may
underlie
mediate
abnormal
uni-/transmodal
topography,
namely
shifts
shorter
longer
timescales
abnormalities
the
excitation-inhibition
balance.
Finally,
show
how
relates
various
their
co-occurrence.
This
amounts
what
describe
as
‘Topographic
reorganization’
which
extends
our
earlier
‘Resting
state
hypothesis
depression’
complements
other
models
MDD.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2022,
Volume and Issue:
138, P. 104715 - 104715
Published: May 30, 2022
As
we
move
through
the
world,
natural
and
built
environments
implicitly
guide
behavior
by
appealing
to
certain
sensory
motor
dynamics.
This
process
can
be
motivated
automatic
attention
environmental
features
that
resonate
with
specific
sensorimotor
responses.
review
aims
at
providing
a
psychobiological
framework
describing
how
lead
automated
responses
defined
neurophysiological
mechanisms
underlying
attention.
Through
use
of
processes
in
subsets
cortical
structures,
goal
this
is
describe
on
neuronal
level
functional
link
between
designed
environment
By
distinguishing
elaborate
employs
for
adaptation.
realized
thalamo-cortical
network
integrating
aspects
behavior.
We
highlight
transthalamic
transmission
from
an
Enactive
predictive
perspective
recent
studies
effectively
modulated
systematically
manipulating
features.
end
suggesting
promising
combination
neuroimaging
computational
analysis
future
studies.
AJOB Neuroscience,
Journal Year:
2023,
Volume and Issue:
14(2), P. 178 - 196
Published: Feb. 15, 2023
Human
cerebral
organoids
are
three-dimensional
biological
cultures
grown
in
the
laboratory
to
mimic
as
closely
possible
cellular
composition,
structure,
and
function
of
corresponding
organ,
brain.
For
now,
lack
blood
vessels
other
characteristics
human
brain,
but
also
capable
having
coordinated
electrical
activity.
They
have
been
usefully
employed
for
study
several
diseases
development
nervous
system
unprecedented
ways.
Research
on
is
proceeding
at
a
very
fast
pace
their
complexity
bound
improve.
This
raises
question
whether
will
be
able
develop
unique
feature
consciousness.
If
this
case,
some
ethical
issues
would
arise.
In
article,
we
discuss
necessary
neural
correlates
constraints
emergence
consciousness
according
most
debated
neuroscientific
theories.
Based
this,
consider
what
moral
status
potentially
conscious
brain
organoid
might
be,
light
ontological
arguments.
We
conclude
by
proposing
precautionary
principle
leads
further
investigation.
particular,
outcomes
recent
experiments
entities
potential
new
kind.
NeuroImage,
Journal Year:
2023,
Volume and Issue:
268, P. 119896 - 119896
Published: Jan. 21, 2023
Our
perceptions
and
decisions
are
not
always
objectively
correct
as
they
featured
by
a
bias
related
to
our
self.
What
the
behavioral,
neural,
computational
mechanisms
of
such
cognitive
bias?
Addressing
this
yet
unresolved
question,
we
here
investigate
whether
is
temporal
integration
segregation
mediated
brain's
Intrinsic
neural
timescales
(INT).
Using
Signal
Detection
Theory
(SDT),
operationalize
Criterion
C
distinguished
from
sensitivity
index
d’.
This
was
probed
in
self-task
based
on
morphed
self-
other
faces.
Behavioral
data
demonstrate
clear
bias,
i.e.,
C.
That
EEG-based
INT
measured
autocorrelation
window
(ACW)
especially
transmodal
regions
dorsolateral
prefrontal
cortex
(dlPFC)
default-mode
network
(DMN)
distinct
unimodal
visual
cortex.
Finally,
simulation
same
paradigm
large-scale
model
shows
high
degrees
temporally
inputs
CMS/DMN
dlPFC
while
predominates
Together,
key
role
INT-based
including
its
relation
uni-transmodal
topographical
organization
mediating