Cerebral Cortex,
Journal Year:
2023,
Volume and Issue:
33(19), P. 10380 - 10400
Published: Aug. 9, 2023
The
relationship
between
language
and
thought
is
the
subject
of
long-standing
debate.
One
claim
states
that
facilitates
categorization
objects
based
on
a
certain
feature
(e.g.
color)
through
use
category
labels
reduce
interference
from
other,
irrelevant
features.
Therefore,
impairment
expected
to
affect
items
grouped
by
single
(low-dimensional
categories,
e.g.
"Yellow
Things")
more
than
share
many
features
(high-dimensional
"Animals").
To
test
this
account,
we
conducted
two
behavioral
studies
with
individuals
aphasia
an
fMRI
experiment
healthy
adults.
showed
selective
low-dimensional
was
present
in
some,
but
not
all,
severe
anomia
characteristic
general.
results
revealed
little
activity
language-responsive
brain
regions
during
both
low-
high-dimensional
categorization;
instead,
recruited
domain-general
multiple-demand
network
(involved
wide-ranging
cognitive
tasks).
Combined,
demonstrate
system
implicated
object
categorization.
Instead,
might
be
caused
damage
responsible
for
control.
Our
work
adds
growing
evidence
dissociation
tasks
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(11)
Published: March 5, 2024
The
neural
correlates
of
sentence
production
are
typically
studied
using
task
paradigms
that
differ
considerably
from
the
experience
speaking
outside
an
experimental
setting.
In
this
fMRI
study,
we
aimed
to
gain
a
better
understanding
syntactic
processing
in
spontaneous
versus
naturalistic
comprehension
three
regions
interest
(BA44,
BA45,
and
left
posterior
middle
temporal
gyrus).
A
group
participants
(n
=
16)
was
asked
speak
about
events
episode
TV
series
scanner.
Another
36)
listened
spoken
recall
participant
first
group.
To
model
processing,
extracted
word-by-word
metrics
phrase-structure
building
with
top–down
bottom–up
parser
make
different
hypotheses
timing
structure
building.
While
anticipates
structure,
sometimes
before
it
is
obvious
listener,
builds
integratory
way
after
all
evidence
has
been
presented.
comprehension,
activity
found
be
modeled
by
parser,
while
production,
parser.
We
additionally
two
strategies
were
developed
here
predictions
incrementality
during
speaking.
for
highly
incremental
anticipatory
which
confirmed
converging
analysis
pausing
patterns
speech.
Overall,
study
shows
feasibility
studying
dynamics
language
production.
Trends in Cognitive Sciences,
Journal Year:
2023,
Volume and Issue:
27(11), P. 1032 - 1052
Published: Sept. 11, 2023
Prediction
is
often
regarded
as
an
integral
aspect
of
incremental
language
comprehension,
but
little
known
about
the
cognitive
architectures
and
mechanisms
that
support
it.
We
review
studies
showing
listeners
readers
use
all
manner
contextual
information
to
generate
multifaceted
predictions
upcoming
input.
The
nature
these
may
vary
between
individuals
owing
differences
in
experience,
among
other
factors.
then
turn
unresolved
questions
which
guide
search
for
underlying
mechanisms.
(i)
Is
prediction
essential
processing
or
optional
strategy?
(ii)
Are
generated
from
within
system
by
domain-general
processes?
(iii)
What
relationship
memory?
(iv)
Does
comprehension
require
simulation
via
production
system?
discuss
promising
directions
making
progress
answering
developing
a
mechanistic
understanding
language.
Journal of Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
36(7), P. 1427 - 1471
Published: Jan. 1, 2024
Abstract
Human
language
is
expressive
because
it
compositional:
The
meaning
of
a
sentence
(semantics)
can
be
inferred
from
its
structure
(syntax).
It
commonly
believed
that
syntax
and
semantics
are
processed
by
distinct
brain
regions.
Here,
we
revisit
this
claim
using
precision
fMRI
methods
to
capture
separation
or
overlap
function
in
the
brains
individual
participants.
Contrary
prior
claims,
find
distributed
sensitivity
both
throughout
broad
frontotemporal
network.
Our
results
join
growing
body
evidence
for
an
integrated
network
human
within
which
internal
specialization
primarily
matter
degree
rather
than
kind,
contrast
with
influential
proposals
advocate
different
areas
types
linguistic
functions.
Annual Review of Neuroscience,
Journal Year:
2024,
Volume and Issue:
47(1), P. 277 - 301
Published: April 26, 2024
It
has
long
been
argued
that
only
humans
could
produce
and
understand
language.
But
now,
for
the
first
time,
artificial
language
models
(LMs)
achieve
this
feat.
Here
we
survey
new
purchase
LMs
are
providing
on
question
of
how
is
implemented
in
brain.
We
discuss
why,
a
priori,
might
be
expected
to
share
similarities
with
human
system.
then
summarize
evidence
represent
linguistic
information
similarly
enough
enable
relatively
accurate
brain
encoding
decoding
during
processing.
Finally,
examine
which
LM
properties—their
architecture,
task
performance,
or
training—are
critical
capturing
neural
responses
review
studies
using
as
silico
model
organisms
testing
hypotheses
about
These
ongoing
investigations
bring
us
closer
understanding
representations
processes
underlie
our
ability
comprehend
sentences
express
thoughts
Cerebral Cortex,
Journal Year:
2024,
Volume and Issue:
34(3)
Published: March 1, 2024
Abstract
How
do
polyglots—individuals
who
speak
five
or
more
languages—process
their
languages,
and
what
can
this
population
tell
us
about
the
language
system?
Using
fMRI,
we
identified
network
in
each
of
34
polyglots
(including
16
hyperpolyglots
with
knowledge
10+
languages)
examined
its
response
to
native
language,
non-native
languages
varying
proficiency,
unfamiliar
languages.
All
conditions
engaged
all
areas
relative
a
control
condition.
Languages
that
participants
rated
as
higher
proficiency
elicited
stronger
responses,
except
for
which
similar
lower
than
proficiency.
Furthermore,
were
typologically
related
participants’
high-to-moderate-proficiency
unrelated
The
results
suggest
network’s
magnitude
scales
degree
engagement
linguistic
computations
(e.g.
lexical
access
syntactic-structure
building).
We
also
replicated
prior
finding
weaker
responses
non-polyglot
bilinguals.
These
contribute
our
understanding
how
multiple
coexist
within
single
brain
provide
new
evidence
responds
strongly
stimuli
fully
engage
computations.
