bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Feb. 10, 2022
Abstract
Neuroimaging
studies
have
provided
a
wealth
of
information
about
when
and
where
changes
in
brain
activity
might
be
expected
during
reading.
We
sought
to
better
understand
the
computational
steps
that
give
rise
such
task-related
modulations
neural
by
using
convolutional
network
model
macro-scale
computations
necessary
perform
single-word
recognition.
presented
with
stimuli
had
been
shown
human
volunteers
an
earlier
magnetoencephalography
(MEG)
experiment
evaluated
whether
same
experimental
effects
could
observed
both
model.
In
direct
comparison
between
MEG
recordings,
accurately
predicted
amplitude
three
evoked
response
components
commonly
contrast
traditional
models
reading,
our
directly
operates
on
pixel
values
image
containing
text.
This
allowed
us
simulate
whole
gamut
processing
from
detection
segmentation
letter
shapes
word-form
identification,
deep
learning
architecture
facilitating
inclusion
large
vocabulary
10k
Finnish
words.
Interestingly,
key
achieving
desired
behavior
was
use
noisy
activation
function
for
units
as
well
obey
word
frequency
statistics
repeating
training.
conclude
techniques
revolutionized
object
recognition
can
also
create
reading
straightforwardly
compared
neuroimaging
data,
which
will
greatly
facilitate
testing
refining
theories
language
brain.
Abstract
The
current
study
tested
the
hypothesis
that
lexical
ambiguity,
a
common
source
of
representational
conflict
during
language
comprehension,
engages
domain-general
cognitive
control
processes
are
reflected
by
theta-band
oscillations
in
scalp-recorded
electroencephalograms
(EEG).
In
Experiment
1,
we
examined
neural
signature
elicited
lexically
ambiguous
compared
to
unambiguous
words
sentence
comprehension.
results
showed
midfrontal
theta
activity
was
increased
response
linguistic
(lexical
ambiguity).
2,
postconflict
adaptation
effects
comparing
temporarily
sentences
followed
previous
instances
(other
sentences)
those
low-conflict
(unambiguous)
sentence.
A
effect
associated
with
again
found
such
for
high-conflict
(temporarily
ambiguous)
sentences.
both
experiments,
facilitated
semantic
processing
also
observed
came
after
point
conflict,
which
may
reflect
downstream
“benefit”
engagement.
Overall,
our
provide
novel
insights
into
neurocognitive
mechanisms
underlying
comprehension
and
suggest
same
computations
involved
nonlinguistic
conflict.
Neuroimaging
studies
have
provided
a
wealth
of
information
about
when
and
where
changes
in
brain
activity
might
be
expected
during
reading.
We
sought
to
better
understand
the
computational
steps
that
give
rise
such
task-related
modulations
neural
by
using
convolutional
network
model
macro-scale
computations
necessary
perform
single-word
recognition.
presented
with
stimuli
had
been
shown
human
volunteers
an
earlier
magnetoencephalography
(MEG)
experiment
evaluated
whether
same
experimental
effects
could
observed
both
model.
In
direct
comparison
between
MEG
recordings,
accurately
predicted
amplitude
three
evoked
response
components
commonly
contrast
traditional
models
reading,
our
directly
operates
on
pixel
values
image
containing
text.
This
allowed
us
simulate
whole
gamut
processing
from
detection
segmentation
letter
shapes
word-form
identification,
deep
learning
architecture
facilitating
inclusion
large
vocabulary
10k
Finnish
words.
Interestingly,
key
achieving
desired
behavior
was
use
noisy
activation
function
for
units
as
well
obey
word
frequency
statistics
repeating
training.
conclude
techniques
revolutionized
object
recognition
can
also
create
reading
straightforwardly
compared
neuroimaging
data,
which
will
greatly
facilitate
testing
refining
theories
language
brain.
Frontiers in Psychology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 21, 2024
Predictive
processing,
a
crucial
aspect
of
human
cognition,
is
also
relevant
for
language
comprehension.
In
everyday
situations,
we
exploit
various
sources
information
to
anticipate
and
therefore
facilitate
processing
upcoming
linguistic
input.
the
literature,
there
are
variety
models
that
aim
at
accounting
such
ability.
One
group
propose
strict
relationship
between
prediction
production
mechanisms.
this
review,
first
introduce
very
briefly
concept
predictive
during
Secondly,
focus
on
attribute
prominent
role
sensorimotor
in
("prediction-by-production"
models).
Contextually,
provide
summary
studies
investigated
speech
auditory
perception
comprehension/prediction
tasks
healthy,
typical
participants.
Then,
an
overview
limited
existing
literature
specific
atypical/clinical
populations
may
represent
suitable
testing
ground
models-i.e.,
with
impaired
Ultimately,
suggest
more
widely
in-depth
prediction-by-production
accounts,
involvement
atypical
both
model
as
targets
possible
novel
speech/language
treatment
approaches.
Cerebral Cortex,
Journal Year:
2025,
Volume and Issue:
35(3)
Published: March 1, 2025
Abstract
A
longstanding
debate
in
cognitive
neuroscience
questions
whether
temporal
processing
is
modality-specific
or
governed
by
a
“central
clock”
mechanism.
We
propose
that
this
stems
from
neglecting
the
duration
of
intervals
processed,
as
studies
supporting
models
time
perception
often
focus
on
below
1.2-s
intervals.
To
address
this,
we
examined
neuronal
dynamics
underlying
shorter
and
longer
than
using
vibrotactile
stimuli.
Twenty
participants
underwent
electroencephalogram
recordings
during
passive
tactile
oddball
paradigm.
compared
brain
responses
to
standard
deviant
intervals,
with
deviants
occurring
either
earlier
later
both
above
conditions.
Event-related
potentials
revealed
distinct
deviance-related
components:
P250
for
deviance
detection
short
an
N400
long
deviants.
Generators
lied
network
while
activated
broader,
higher-level
network.
found
no
evidence
contingent
negative
variation
modality,
questioning
its
role
universal
marker
accumulation.
Our
findings
suggest
involve
circuits,
engage
distributed
networks,
shedding
light
centralized
distributed.
Brain and Language,
Journal Year:
2025,
Volume and Issue:
266, P. 105582 - 105582
Published: May 2, 2025
Previous
event-related
potential
(ERP)
studies
have
demonstrated
the
neural
specificity
of
cognitive
processing
mechanisms
in
scientific
metaphors.
This
property
makes
semantic
retrieval
and
extraction
more
difficult
compared
to
conventional
However,
role
context
modulating
comprehension
metaphors
remains
unclear,
there
has
been
no
analysis
or
categorization
abstract
In
this
study,
we
used
sentence-final
word
paradigm
investigate
effects
different
contextual
conditions
on
two
types
We
aimed
observe
(Experiment
1)
whether
are
any
differences
between
context-free
condition
2)
affects
contextualized
condition.
Additionally,
explored
relevant
irrelevant
contexts
Both
N400
late
negative
component
(LN)
were
found
experiments.
The
showed
that
SMF
(SMF
refers
whose
source
domain
target
similarities
functions
present
study.)
evoked
than
SMS
(SMS
shapes
study)
result
suggests
might
be
SMS.
relevant-context
condition,
was
significant
difference
amplitudes
contrast,
irrelevant-context
elicited
significantly
SMF.
Analysis
LN
revealed
results
indicate
affect
information
retrieval,
but
not
reasoning
stage
about
knowledge.
Moreover,
facilitate
both
metaphors,
whereas
hinder
them.
More
importantly,
interference
seems
greater
for
