Cognitive Science,
Journal Year:
2023,
Volume and Issue:
47(10)
Published: Oct. 1, 2023
Event
segmentation
theory
posits
that
people
segment
continuous
experience
into
discrete
events
and
event
boundaries
occur
when
there
are
large
transient
increases
in
prediction
error.
Here,
we
set
out
to
test
this
the
context
of
story
listening,
by
using
a
deep
learning
language
model
(GPT-2)
compute
predicted
probability
distribution
next
word,
at
each
point
story.
For
three
stories,
used
distributions
generated
GPT-2
time
series
We
also
asked
participants
listen
these
stories
while
marking
boundaries.
regression
models
relate
measures
human
data.
found
associated
with
Bayesian
surprise
but
not
simpler
measure
error
(surprisal)
tracks,
for
word
story,
how
strongly
was
previous
point.
These
results
support
hypothesis
serves
as
control
mechanism
governing
important
differences
between
operational
definitions
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Oct. 5, 2020
Adaptive
brain
function
requires
that
sensory
impressions
of
the
social
and
natural
milieu
are
dynamically
incorporated
into
intrinsic
activity.
While
dynamic
switches
between
states
have
been
well
characterised
in
resting
state
acquisitions,
remodelling
these
transitions
by
engagement
naturalistic
stimuli
remains
poorly
understood.
Here,
we
show
temporal
dynamics
states,
as
measured
fMRI,
reshaped
from
predominantly
bistable
two
relatively
indistinct
at
rest,
toward
a
sequence
well-defined
functional
during
movie
viewing
whose
temporally
aligned
to
specific
features
movie.
The
expression
covaries
with
different
physiological
reflects
subjectively
rated
In
sum,
data-driven
decoding
reveals
distinct
reshaping
network
reliable
accompany
switch
perceptual
immersion
an
ecologically
valid
experience.
Trends in Neurosciences,
Journal Year:
2023,
Volume and Issue:
46(7), P. 508 - 524
Published: May 8, 2023
The
rapid
and
coordinated
propagation
of
neural
activity
across
the
brain
provides
foundation
for
complex
behavior
cognition.
Technical
advances
neuroscience
subfields
have
advanced
understanding
these
dynamics,
but
points
convergence
are
often
obscured
by
semantic
differences,
creating
silos
subfield-specific
findings.
In
this
review
we
describe
how
a
parsimonious
conceptualization
state
as
fundamental
building
block
whole-brain
offers
common
framework
to
relate
findings
scales
species.
We
present
examples
diverse
techniques
commonly
used
study
states
associated
with
physiology
higher-order
cognitive
processes,
discuss
integration
them
will
enable
more
comprehensive
mechanistic
characterization
dynamics
that
crucial
survival
disrupted
in
disease.
Physics of Life Reviews,
Journal Year:
2023,
Volume and Issue:
46, P. 220 - 244
Published: July 13, 2023
Psychology
and
neuroscience
are
concerned
with
the
study
of
behavior,
internal
cognitive
processes,
their
neural
foundations.
However,
most
laboratory
studies
use
constrained
experimental
settings
that
greatly
limit
range
behaviors
can
be
expressed.
While
focusing
on
restricted
ensures
methodological
control,
it
risks
impoverishing
object
study:
by
restricting
we
might
miss
key
aspects
function.
In
this
article,
argue
psychology
should
increasingly
adopt
innovative
designs,
measurement
methods,
analysis
techniques
sophisticated
computational
models
to
probe
rich,
ecologically
valid
forms
including
social
behavior.
We
discuss
challenges
studying
rich
behavior
as
well
novel
opportunities
offered
state-of-the-art
methodologies
new
sensing
technologies,
highlight
importance
developing
formal
models.
exemplify
our
arguments
reviewing
some
recent
streams
research
in
psychology,
other
fields
(e.g.,
sports
analytics,
ethology
robotics)
have
addressed
a
model-based
manner.
hope
these
"success
cases"
will
encourage
psychologists
neuroscientists
extend
toolbox
behavioral
–
them
processes
they
engage.
Memory
helps
guide
behavior,
but
which
experiences
from
the
past
are
prioritized?
Classic
models
of
learning
posit
that
events
associated
with
unpredictable
outcomes
as
well
as,
paradoxically,
predictable
outcomes,
deploy
more
attention
and
for
those
events.
Here,
we
test
reinforcement
subsequent
memory
events,
treat
signed
unsigned
reward
prediction
errors
(RPEs),
experienced
at
reward-predictive
cue
or
outcome,
drivers
these
two
seemingly
contradictory
signals.
By
fitting
to
find
both
RPEs
contribute
by
modulating
a
dynamically
changing
rate.
We
further
characterize
effects
RPE
signals
on
show
enhance
memory,
in
line
midbrain
dopamine
locus-coeruleus
modulation
hippocampal
plasticity,
thereby
reconciling
separate
findings
literature.
Proceedings of the National Academy of Sciences,
Journal Year:
2021,
Volume and Issue:
118(33)
Published: Aug. 12, 2021
As
we
comprehend
narratives,
our
attentional
engagement
fluctuates
over
time.
Despite
theoretical
conceptions
of
narrative
as
emotion-laden
attention,
little
empirical
work
has
characterized
the
cognitive
and
neural
processes
that
comprise
subjective
in
naturalistic
contexts
or
its
consequences
for
memory.
Here,
relate
fluctuations
to
patterns
brain
coactivation
test
whether
signatures
predict
subsequent
In
behavioral
studies,
participants
continuously
rated
how
engaged
they
were
watched
a
television
episode
listened
story.
Self-reported
was
synchronized
across
individuals
driven
by
emotional
content
narratives.
functional
MRI
datasets
collected
different
same
show
story,
drove
synchrony,
such
default
mode
network
activity
more
during
engaging
moments
Furthermore,
models
based
on
time-varying
connectivity
predicted
evolving
states
independent
datasets.
The
connections
overlapped
with
validated
neuromarker
sustained
attention
recall
events.
Together,
findings
characterize
elucidate
relationships
among
engagement,
event
Proceedings of the National Academy of Sciences,
Journal Year:
2022,
Volume and Issue:
119(43)
Published: Oct. 17, 2022
How
infants
experience
the
world
is
fundamental
to
understanding
their
cognition
and
development.
A
key
principle
of
adult
that,
despite
receiving
continuous
sensory
input,
we
perceive
this
input
as
discrete
events.
Here
investigate
such
event
segmentation
in
how
it
differs
from
adults.
Research
on
often
uses
simplified
tasks
which
(adult)
experimenters
help
solve
problem
for
by
defining
boundaries
or
presenting
actions/vignettes.
This
presupposes
events
are
experienced
leaves
open
questions
about
principles
governing
infant
segmentation.
We
take
a
different,
data-driven
approach
studying
input.
collected
whole-brain
functional
MRI
(fMRI)
data
awake
(and
adults,
comparison)
watching
cartoon
used
hidden
Markov
model
identify
states
brain.
quantified
existence,
timescale,
organization
multiple-event
representations
across
brain
regions.
The
exhibited
known
hierarchical
gradient
timescales,
shorter
early
visual
regions
longer
later
associative
In
contrast,
represented
only
events,
even
regions,
with
no
timescale
hierarchy.
these
partially
overlapped
defined
activity
behavioral
judgments.
These
findings
suggest
that
organized
differently
infants,
timescales
more
stable
neural
patterns,
may
indicate
greater
temporal
integration
reduced
precision
during
dynamic,
naturalistic
perception.
Trends in Cognitive Sciences,
Journal Year:
2022,
Volume and Issue:
27(1), P. 43 - 64
Published: Nov. 24, 2022
Context
is
widely
regarded
as
a
major
determinant
of
learning
and
memory
across
numerous
domains,
including
classical
instrumental
conditioning,
episodic
memory,
economic
decision-making,
motor
learning.
However,
studies
these
domains
remain
disconnected
due
to
the
lack
unifying
framework
formalizing
concept
context
its
role
in
Here,
we
develop
unified
vernacular
allowing
direct
comparisons
between
different
contextual
This
leads
Bayesian
model
positing
that
unobserved
needs
be
inferred.
Contextual
inference
then
controls
creation,
expression,
updating
memories.
theoretical
approach
reveals
two
distinct
components
underlie
adaptation,
proper
apparent
learning,
respectively
referring
creation
memories
versus
time-varying
adjustments
their
expression.
We
review
number
extensions
basic
allow
it
account
for
increasingly
complex
forms