Transfer
learning,
the
re-application
of
previously
learned
higher-level
regularities
to
novel
input,
is
a
key
challenge
in
cognition.
While
previous
empirical
studies
investigated
human
transfer
learning
supervised
or
reinforcement
for
explicit
knowledge,
it
unknown
whether
such
occurs
during
naturally
more
common
implicit
and
unsupervised
if
so,
how
related
memory
consolidation.
We
compared
newly
acquired
abstract
knowledge
by
extending
visual
statistical
paradigm
context.
found
but
with
important
differences
depending
on
explicitness/implicitness
knowledge.
Observers
acquiring
initial
could
structures
immediately.
In
contrast,
observers
same
amount
showed
opposite
effect,
structural
interference
transfer.
However,
sleep
between
phases,
switched
their
behaviour
pattern
as
did
while
still
remaining
implicit.
This
effect
was
specific
not
after
non-sleep
Our
results
highlight
similarities
generalizable
relying
consolidation
restructuring
internal
representations.
Behavior Research Methods,
Journal Year:
2023,
Volume and Issue:
56(1), P. 301 - 317
Published: Jan. 5, 2023
Abstract
Despite
the
fact
that
reliability
estimation
is
crucial
for
robust
inference,
it
underutilized
in
neuroscience
and
cognitive
psychology.
Appreciating
can
help
researchers
increase
statistical
power,
effect
sizes,
reproducibility,
decrease
impact
of
measurement
error,
inform
methodological
choices.
However,
accurately
calculating
many
experimental
learning
tasks
challenging.
In
this
study,
we
highlight
a
number
these
issues,
estimate
multiple
metrics
internal
consistency
split-half
widely
used
task
on
large
sample
180
subjects.
We
show
how
pre-processing
choices,
length,
size
affect
its
estimation.
Our
results
Alternating
Serial
Reaction
Time
Task
has
respectable
reliability,
especially
when
scores
are
calculated
based
reaction
times
two-stage
averaging.
also
length
25
blocks
be
sufficient
to
meet
usual
thresholds
minimally
acceptable
reliability.
further
illustrate
relying
single
point
misleading,
calculation
metrics,
along
with
their
uncertainties,
lead
more
complete
characterization
psychometric
properties
tasks.
Transfer
learning,
the
re-application
of
previously
learned
higher-level
regularities
to
novel
input,
is
a
key
challenge
in
cognition.
While
previous
empirical
studies
investigated
human
transfer
learning
supervised
or
reinforcement
for
explicit
knowledge,
it
unknown
whether
such
occurs
during
naturally
more
common
implicit
and
unsupervised
and,
if
so,
how
related
memory
consolidation.
We
compared
newly
acquired
abstract
knowledge
by
extending
visual
statistical
paradigm
context.
found
but
with
important
differences
depending
on
explicitness/implicitness
knowledge.
Observers
acquiring
initial
could
structures
immediately.
In
contrast,
observers
same
amount
showed
opposite
effect,
structural
interference
transfer.
However,
sleep
between
phases,
observers,
while
still
remaining
implicit,
switched
their
behaviour
pattern
as
did.
This
effect
was
specific
not
after
non-sleep
Our
results
highlight
similarities
generalizable
relying
consolidation
restructuring
internal
representations.
PLoS Computational Biology,
Journal Year:
2022,
Volume and Issue:
18(11), P. e1009866 - e1009866
Published: Nov. 30, 2022
Humans
can
implicitly
learn
complex
perceptuo-motor
skills
over
the
course
of
large
numbers
trials.
This
likely
depends
on
our
becoming
better
able
to
take
advantage
ever
richer
and
temporally
deeper
predictive
relationships
in
environment.
Here,
we
offer
a
novel
characterization
this
process,
fitting
non-parametric,
hierarchical
Bayesian
sequence
model
reaction
times
human
participants’
responses
ten
sessions,
each
comprising
thousands
trials,
serial
time
task
involving
higher-order
dependencies.
The
model,
adapted
from
domain
language,
forgetfully
updates
trial-by-trial,
seamlessly
combines
information
shorter
longer
windows
onto
past
events,
weighing
proportionally
their
power.
As
implies
posterior
window
depths,
were
determine
how,
how
many,
previous
elements
influenced
individual
internal
predictions,
changed
with
practice.
Already
first
session,
showed
that
participants
had
begun
rely
two
(i.e.,
trigrams),
thereby
successfully
adapting
most
prominent
structure
task.
extent
which
local
statistical
fluctuations
trigram
frequency
waned
subsequent
as
forgot
trigrams
less
evidenced
skilled
performance.
By
eighth
subset
shifted
prior
further
consider
context
than
elements.
Finally,
resistance
interference
slow
forgetting
old
when
it
was
final
sessions.
Model
parameters
for
covaried
appropriately
independent
measures
working
memory
error
characteristics.
In
sum,
offers
principled
account
adaptive
complexity
nuanced
dynamics
humans’
representations
during
long-term
implicit
skill
learning.
eNeuro,
Journal Year:
2023,
Volume and Issue:
10(2), P. ENEURO.0228 - 22.2022
Published: Feb. 1, 2023
Memory
consolidation
processes
have
traditionally
been
investigated
from
the
perspective
of
hours
or
days.
However,
recent
developments
in
memory
research
shown
that
could
occur
even
within
seconds,
possibly
because
neural
replay
just
practiced
traces
during
short
breaks.
Here,
we
investigate
this
rapid
form
statistical
learning.
We
aim
to
answer
(1)
whether
occurs
implicit
learning
and
general
skill
learning,
(2)
duration
rest
periods
affects
these
two
types
differently.
Human
participants
performed
a
widely
used
task-the
alternating
serial
reaction
time
(ASRT)
task-that
enables
us
measure
separately.
The
ASRT
task
consisted
25
blocks
with
period
between
blocks.
In
between-subjects
design,
length
was
fixed
at
15
30
s,
control
themselves.
found
does
not
affect
amount
knowledge
acquired
but
change
dynamics
Shorter
led
better
blocks,
whereas
longer
promoted
also
between-block
periods,
higher
replay.
Moreover,
weaker
self-paced
group
than
groups.
These
results
suggest
distinct
are
differently
affected
by
periods.
Transfer
learning,
the
re-application
of
previously
learned
higher-level
regularities
to
novel
input,
is
a
key
challenge
in
cognition.
While
previous
empirical
studies
investigated
human
transfer
learning
supervised
or
reinforcement
for
explicit
knowledge,
it
unknown
whether
such
occurs
during
naturally
more
common
implicit
and
unsupervised
and,
if
so,
how
related
memory
consolidation.
We
compared
newly
acquired
abstract
knowledge
by
extending
visual
statistical
paradigm
context.
found
but
with
important
differences
depending
on
explicitness/implicitness
knowledge.
Observers
acquiring
initial
could
structures
immediately.
In
contrast,
observers
same
amount
showed
opposite
effect,
structural
interference
transfer.
However,
sleep
between
phases,
observers,
while
still
remaining
implicit,
switched
their
behaviour
pattern
as
did.
This
effect
was
specific
not
after
non-sleep
Our
results
highlight
similarities
generalizable
relying
consolidation
restructuring
internal
representations.
Brain stimulation,
Journal Year:
2023,
Volume and Issue:
16(5), P. 1336 - 1345
Published: Aug. 29, 2023
Recent
evidence
suggests
that
hippocampal
replay
in
humans
support
rapid
motor
memory
consolidation
during
epochs
of
wakefulness
interleaved
with
task
practice.The
goal
this
study
was
to
test
whether
such
reactivation
patterns
can
be
modulated
experimental
interventions
and
turn
influence
fast
consolidation.
We
hypothesized
non-invasive
brain
stimulation
targeting
striatal
networks
via
the
prefrontal
cortex
would
form
consolidation.Theta-burst
applied
a
cluster
functionally
connected
both
hippocampus
striatum
young
healthy
participants
before
they
learned
sequence
functional
magnetic
resonance
imaging
(fMRI)
scanner.
Neuroimaging
data
acquired
practice
rest
were
analyzed
comprehensively
characterize
effect
on
neural
processes
supporting
consolidation.Our
results
collectively
show
active,
as
compared
control,
theta-burst
hindered
Converging
from
univariate
multivariate
analyses
fMRI
indicate
active
disrupted
caudate
responses
inter-practice
rest,
presumably
altering
learning-related
micro-offline
episodes.
Last,
altered
link
between
behavioral
markers
process.These
suggest
deep
regions
used
modulate
reactivations
human
Cortex,
Journal Year:
2024,
Volume and Issue:
179, P. 168 - 190
Published: Aug. 14, 2024
Spontaneous
reactivation
of
brain
activity
from
learning
to
a
subsequent
off-line
period
has
been
implicated
as
neural
mechanism
underlying
memory
consolidation.
However,
similarities
in
may
also
emerge
result
individual,
trait-like
characteristics.
Here,
we
introduced
novel
approach
for
analyzing
continuous
electroencephalography
(EEG)
data
investigate
learning-induced
changes
well
characteristics
Thirty-one
healthy
young
adults
performed
task,
and
their
performance
was
retested
after
short
(∼1
h)
delay.
Consolidation
two
distinct
types
information
(serial-order
probability)
embedded
the
task
were
tested
reveal
functional
networks
that
uniquely
predict
respective
performance.
EEG
recorded
during
pre-
post-learning
rest
periods.
To
associated
with
consolidation,
quantified
connectivity
between
pre-learning
(baseline
similarity)
(post-learning
similarity).
While
comparable
patterns
these
could
indicate
similarities,
baseline
similarity
changes,
possibly
spontaneous
reactivation.
Higher
alpha
frequency
(8.5–9.5
Hz)
better
consolidation
serial-order
information,
particularly
long-range
connections
across
central
parietal
sites.
The
probability
delta
(2.5–3
specifically
more
local,
short-range
connections.
Furthermore,
there
substantial
overlap
associations
performance,
suggesting
robust
(trait-like)
differences
processes.
Neuroimage Reports,
Journal Year:
2022,
Volume and Issue:
2(1), P. 100078 - 100078
Published: Jan. 19, 2022
Memory
consolidation
has
been
mainly
investigated
for
extended
periods,
from
hours
to
days.
Recent
studies
focused
on
memory
occurring
within
shorter
seconds
minutes.
Yet,
these
explicit
sequence
learning
with
fixed
rest
periods.
Our
study
aimed
at
determining
whether
short
periods
enhance
implicit
probabilistic
and
the
length
of
duration
influences
such
offline
changes.
Participants
performed
an
task
throughout
45
blocks.
Between
blocks,
participants
were
allowed
then
continue
their
pace.
The
results
show
that
knowledge
decreased
pre-to
post-rest
this
decrement
was
not
related
duration.
These
suggest
decays
during
forgetting
is
time-dependent.
Overall,
our
findings
highlight
ultra-fast
differently
affects
distinct
cognitive
processes.
Human Brain Mapping,
Journal Year:
2024,
Volume and Issue:
45(8)
Published: June 1, 2024
Gilles
de
la
Tourette
syndrome
(GTS)
is
a
disorder
characterised
by
motor
and
vocal
tics,
which
may
represent
habitual
actions
as
result
of
enhanced
learning
associations
between
stimuli
responses
(S-R).
In
this
study,
we
investigated
how
adults
with
GTS
healthy
controls
(HC)
learn
two
types
regularities
in
sequence:
statistics
(non-adjacent
probabilities)
rules
(predefined
order).
Participants
completed
visuomotor
sequence
task
while
EEG
was
recorded.
To
understand
the
neurophysiological
underpinnings
these
GTS,
multivariate
pattern
analyses
on
temporally
decomposed
signal
well
sLORETA
source
localisation
method
were
conducted.
We
found
that
people
showed
superior
statistical
but
comparable
rule-based
compared
to
HC
participants.
Adults
had
different
neural
representations
for
both
than
adults;
specifically,
maintained
regularity
longer
more
overlap
them
HCs.
Moreover,
over
time
scales,
distinct
fronto-parietal
structures
contribute
groups.
propose
hyper-learning
consequence
altered
sensitivity
encode
complex
statistics,
might
lead
actions.
npj Science of Learning,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Nov. 20, 2024
While
statistical
learning
is
often
studied
individually,
its
collective
representation
through
self-other
integration
remains
unclear.
This
study
examines
dynamic
and
multi-brain
mechanism
using
simultaneous
recordings
from
dyads.
Participants
(N
=
112)
each
repeatedly
responded
to
half
of
a
fixed
stimulus
sequence
with
either
an
active
partner
(joint
context)
or
passive
observer
(baseline
context).
Significant
individual
was
evident
in
the
joint
context,
characterized
by
decreased
reaction
time
(RT)
intra-brain
neural
responses,
followed
quadratic
trend
(i.e.,
first
increasing
then
decreasing)
upon
insertion
interference
sequence.
More
importantly,
Brain-to-Brain
Coupling
(BtBC)
theta
band
also
showed
modulation-related
trends,
slope
negatively
positively
correlating
slopes
RT
functional
connectivity,
respectively.
These
results
highlight
nature
learning,
regularities
implicitly
spontaneously
modulating
this
process.
Notably,
BtBC
serves
as
key
correlate
underlying
dynamics
integration.