iScience,
Год журнала:
2023,
Номер
26(11), С. 108222 - 108222
Опубликована: Окт. 17, 2023
Variability,
which
is
known
to
be
a
universal
feature
among
biological
units
such
as
neuronal
cells,
holds
significant
importance,
as,
for
example,
it
enables
robust
encoding
of
high
volume
information
in
circuits
and
prevents
hypersynchronizations.
While
most
computational
studies
on
electrophysiological
variability
were
done
with
single-compartment
neuron
models,
we
instead
focus
the
detailed
biophysical
models
multi-compartmental
morphologies.
We
leverage
Markov
chain
Monte
Carlo
method
generate
populations
electrical
reproducing
experimental
recordings
while
being
compatible
set
morphologies
faithfully
represent
specifi
morpho-electrical
type.
demonstrate
our
approach
layer
5
pyramidal
cells
study
particular,
find
that
morphological
alone
insufficient
reproduce
variability.
Overall,
this
provides
strong
statistical
basis
create
neurons
controlled
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Янв. 17, 2022
Abstract
Making
accurate
decisions
based
on
unreliable
sensory
evidence
requires
cognitive
inference.
Dysfunction
of
n-methyl-d-aspartate
(NMDA)
receptors
impairs
the
integration
noisy
input
in
theoretical
models
neural
circuits,
but
whether
and
how
this
synaptic
alteration
human
inference
confidence
during
uncertain
remains
unknown.
Here
we
use
placebo-controlled
infusions
ketamine
to
characterize
causal
effect
NMDA
receptor
hypofunction
its
correlates.
At
behavioral
level,
triggers
errors
elevated
decision
uncertainty.
is
associated
with
imbalanced
coding
premature
response
preparation
electroencephalographic
(EEG)
activity.
Through
computational
modeling
confidence,
propose
that
specific
pattern
impairments
reflects
an
early
commitment
inaccurate
decisions,
which
aims
at
resolving
abnormal
uncertainty
generated
by
hypofunction.
Psychological Review,
Год журнала:
2023,
Номер
131(2), С. 456 - 493
Опубликована: Июнь 8, 2023
Normative
models
of
decision-making
that
optimally
transform
noisy
(sensory)
information
into
categorical
decisions
qualitatively
mismatch
human
behavior.
Indeed,
leading
computational
have
only
achieved
high
empirical
corroboration
by
adding
task-specific
assumptions
deviate
from
normative
principles.
In
response,
we
offer
a
Bayesian
approach
implicitly
produces
posterior
distribution
possible
answers
(hypotheses)
in
response
to
sensory
information.
But
assume
the
brain
has
no
direct
access
this
posterior,
but
can
Cognitive Affective & Behavioral Neuroscience,
Год журнала:
2023,
Номер
23(3), С. 718 - 738
Опубликована: Май 26, 2023
Abstract
Many
of
our
decisions
take
place
under
uncertainty.
To
successfully
navigate
the
environment,
individuals
need
to
estimate
degree
uncertainty
and
adapt
their
behaviors
accordingly
by
learning
from
experiences.
However,
is
a
broad
construct
distinct
types
may
differentially
influence
learning.
We
provide
semi-systematic
review
illustrate
cognitive
neurobiological
processes
involved
in
two
uncertainty:
environments
with
stochastic
outcomes,
volatile
outcomes.
specifically
reviewed
studies
(
N
=
26
studies)
that
included
an
adolescent
population,
because
adolescence
period
life
characterized
heightened
exploration
learning,
as
well
due
experiencing
many
new,
often
social,
environments.
Until
now,
reviews
have
not
comprehensively
compared
uncertainties
this
age
range.
Our
main
findings
show
although
overall
developmental
patterns
were
mixed,
most
indicate
indicated
increased
accuracy
performance,
improved
age.
also
found
adolescents
tended
advantage
adults
children
when
discuss
potential
mechanisms
explaining
these
age-related
differences
conclude
outlining
future
research
directions.
Mounting
evidence
suggests
that
a
critical
source
of
corruption
in
perceptual
decision
making
is
computational
noise.
However,
it
remains
unclear
whether
similar
noise
appears
different
types
decisions.
Here
we
examined
metacognitive
–
type
hypothesized
to
only
affect
type-2
confidence
ratings
also
type-1
decisions
biased
by
expectations
or
rewards.
Subjects
(N=271)
performed
simple
discrimination
task
and
conditions
provided
confidence,
incorporated
expectation
reward
cues.
Metacognitive
manifests
as
decrease
sensitivity
(d')
when
computed
based
on
criteria
compared
the
criterion.
We
first
replicated
this
drop
with
ratings.
Critically,
found
equivalent
drops
for
both
cues,
regardless
cues
were
presented
before
after
stimulus.
A
model
single
underlies
expectation,
reproduced
these
results.
These
findings
suggest
existence
involving
reward,
thus
suggesting
common
principles
across
Perception
of
sensory
information
is
determined
by
stimulus
features
(e.g.,
intensity)
and
instantaneous
neural
states
excitability).
Commonly,
it
assumed
that
both
are
reflected
similarly
in
evoked
brain
potentials,
is,
larger
amplitudes
associated
with
a
stronger
percept
stimulus.
We
tested
this
assumption
somatosensory
discrimination
task
humans,
simultaneously
assessing
(i)
single-trial
excitatory
post-synaptic
currents
inferred
from
short-latency
potentials
(SEPs),
(ii)
pre-stimulus
alpha
oscillations
(8-13
Hz),
(iii)
peripheral
nerve
measures.
Fluctuations
excitability
shaped
the
perceived
intensity
already
during
very
first
cortical
response
(at
~20
ms)
yet
demonstrating
opposite
signatures
as
compared
to
effect
presented
intensity.
reconcile
discrepancy
via
common
framework
based
on
modulation
electro-chemical
membrane
gradients
linking
responses,
which
calls
for
reconsidering
conventional
interpretations
potential
magnitudes
encoding.
Human
value–based
decisions
are
notably
variable
under
uncertainty.
This
variability
is
known
to
arise
from
two
distinct
sources:
choices
aimed
at
exploring
available
options
and
imprecise
learning
of
option
values
due
limited
cognitive
resources.
However,
whether
these
sources
decision
tuned
their
specific
costs
benefits
remains
unclear.
To
address
this
question,
we
compared
the
effects
expected
unexpected
uncertainty
on
decision-making
in
same
reinforcement
task.
Across
large
behavioral
datasets,
found
that
humans
choose
more
variably
between
but
simultaneously
learn
less
imprecisely
response
Using
simulations
agents,
demonstrate
opposite
adjustments
reflect
adaptive
tuning
exploration
precision
structure
Together,
findings
indicate
regulate
not
only
how
much
they
explore
uncertain
also
precisely
options.
Journal of Experimental Psychology General,
Год журнала:
2023,
Номер
152(10), С. 2842 - 2860
Опубликована: Май 18, 2023
Human
probability
judgments
are
both
variable
and
subject
to
systematic
biases.
Most
judgment
models
treat
variability
bias
separately:
a
deterministic
model
explains
the
origin
of
bias,
which
noise
process
is
added
generate
variability.
But
these
accounts
do
not
explain
characteristic
inverse
U-shaped
signature
linking
mean
variance
in
judgments.
By
contrast,
based
on
sampling
unified
way:
response
an
inevitable
consequence
basing
small
sample
remembered
or
simulated
instances
events.
We
consider
two
recent
models,
biases
explained
either
by
accumulation
being
further
corrupted
retrieval
(the
Probability
Theory
+
Noise
account)
as
Bayesian
adjustment
uncertainty
implicit
samples
sampler).
While
predictions
closely
mimic
one
another,
they
differ
regarding
predicted
relationship
between
variance.
show
that
can
be
distinguished
novel
linear
regression
method
analyses
this
crucial
mean-variance
signature.
First,
efficacy
established
using
recovery,
demonstrating
it
more
accurately
recovers
parameters
than
complex
approaches.
Second,
applied
existing
new
data,
confirming
number
adjusted
prior,
sampler.
(PsycInfo
Database
Record
(c)
2023
APA,
all
rights
reserved).
Perspectives on Psychological Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 4, 2025
In
psychological
research,
noise
is
often
considered
a
nuisance
that
obscures
rather
than
contributes
information.
This
simplification
overlooks
can
be
informative
and
by
exploring
the
nature
of
one
draw
additional
conclusions
concerning
underlying
processes.
It
arguably
only
in
recent
years
mainstream
researchers
has
taken
this
idea
to
heart
demonstrated
it
lead
breakthroughs
understanding
human
behavior.
The
aim
special
section
showcase
some
ways
which
systematic
exploration
achieved
how
enrich
research.
introductory
article,
we
introduce
treating
as
endogenous
opposed
exogenous
theoretical
statistical
models
phenomena.
We
then
contribute
historical
review
role
including
discussions
previous
treatments
literature.
As
an
illustration,
describe
our
own
research
on
precise/not
precise
model
show
distributions
used
delineate
analytic
intuitive
modes
reasoning.
Finally,
briefly
other
contributions
section.