bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Окт. 17, 2023
Abstract
Some
seemingly
irrational
decision
behaviors
(anomalies),
once
seen
as
flaws
in
human
cognition,
have
recently
received
explanations
from
a
rational
perspective.
The
basic
idea
is
that
the
brain
has
limited
cognitive
resources
to
process
quantities
(e.g.,
value,
probability,
time,
etc.)
required
for
making,
with
specific
biases
arising
byproducts
of
resource
allocation
optimized
environment.
While
appealing
providing
normative
accounts,
existing
resource-rational
models
limitations
such
inconsistent
assumptions
across
models,
focus
on
single
environmental
factors,
and
coverage
anomalies.
One
challenging
anomaly
peanuts
effect,
pervasive
phenomenon
decision-making
under
risk
implies
an
interdependence
between
processing
value
probability.
To
extend
rationality
approach
explain
here
we
develop
computational
framework—the
Assemblable
Resource-Rational
Modules
(ARRM)—that
integrates
ideas
different
lines
boundedly-rational
freely
assembled
modules.
framework
can
accommodate
joint
functioning
multiple
allow
new
be
built
tested
along
ones,
potentially
opening
wider
range
phenomena
bounded
modeling.
For
one
three
published
datasets
cover
two
task
paradigms
both
gain
loss
domains,
our
reproduce
characteristic
features
effect
outperform
previous
fitting
behaviors.
Neuron,
Год журнала:
2024,
Номер
112(20), С. 3381 - 3395
Опубликована: Июнь 25, 2024
Pupil
size
is
a
widely
used
metric
of
brain
state.
It
one
the
few
signals
originating
from
that
can
be
readily
monitored
with
low-cost
devices
in
basic
science,
clinical,
and
home
settings.
is,
therefore,
important
to
investigate
generate
well-defined
theories
related
specific
interpretations
this
metric.
What
exactly
does
it
tell
us
about
brain?
Pupils
constrict
response
light
dilate
during
darkness,
but
also
controls
pupil
irrespective
luminosity.
fluctuations
resulting
ongoing
"brain
states"
are
as
arousal,
what
pupil-linked
arousal
how
should
interpreted
neural,
cognitive,
computational
terms?
Here,
we
discuss
some
recent
findings
these
issues.
We
identify
open
questions
propose
answer
them
through
combination
tasks,
neurocomputational
models,
neurophysiological
probing
interconnected
loops
causes
consequences
size.
Nature Human Behaviour,
Год журнала:
2023,
Номер
7(7), С. 1135 - 1151
Опубликована: Апрель 27, 2023
Abstract
Sensory
information
encoded
by
humans
and
other
organisms
is
generally
presumed
to
be
as
accurate
their
biological
limitations
allow.
However,
perhaps
counterintuitively,
sensory
representations
may
not
necessarily
maximize
the
organism’s
chances
of
survival.
To
test
this
hypothesis,
we
developed
a
unified
normative
framework
for
fitness-maximizing
encoding
combining
theoretical
insights
from
neuroscience,
computer
science,
economics.
Behavioural
experiments
in
revealed
that
strategies
are
flexibly
adapted
promote
fitness
maximization,
result
confirmed
deep
neural
networks
with
capacity
constraints
trained
solve
same
task
humans.
Moreover,
human
functional
MRI
data
novel
behavioural
goals
rely
on
object
perception
induce
efficient
stimulus
early
structures.
These
results
suggest
rules
imposed
environment
applied
at
stages
processing
machines.
Trends in Cognitive Sciences,
Год журнала:
2024,
Номер
28(3), С. 264 - 277
Опубликована: Фев. 9, 2024
Is
the
role
of
our
sensory
systems
to
represent
physical
world
as
accurately
possible?
If
so,
are
preferences
and
emotions,
often
deemed
irrational,
decoupled
from
these
'ground-truth'
experiences?
We
show
why
answer
both
questions
is
'no'.
Brain
function
metabolically
costly,
brain
loses
some
fraction
information
that
it
encodes
transmits.
Therefore,
if
brains
maximize
objective
functions
increase
fitness
their
species,
they
should
adapt
objective-maximizing
rules
environment
at
earliest
stages
processing.
Consequently,
observed
'irrationalities',
preferences,
emotions
stem
necessity
for
early
process
while
considering
metabolic
costs
internal
states
organism.
Communications Psychology,
Год журнала:
2024,
Номер
2(1)
Опубликована: Март 27, 2024
Difficult
decisions
typically
involve
mental
effort,
which
scales
with
the
deployment
of
cognitive
(e.g.,
mnesic,
attentional)
resources
engaged
in
processing
decision-relevant
information.
But
how
does
brain
regulate
effort?
A
possibility
is
that
optimizes
a
resource
allocation
problem,
whereby
amount
invested
balances
its
expected
cost
(i.e.
effort)
and
benefit.
Our
working
assumption
subjective
decision
confidence
serves
as
benefit
term
hence
"metacognitive"
nature
control.
Here,
we
present
computational
model
for
online
metacognitive
control
or
oMCD.
Formally,
oMCD
Markov
Decision
Process
optimally
solves
ensuing
problem
under
agnostic
assumptions
about
inner
workings
underlying
system.
We
demonstrate
this
makes
quasi-optimal
policy
broad
class
processes,
including
-but
not
limited
to-
progressive
attribute
integration.
disclose
oMCD's
main
properties
(in
terms
choice,
response
time),
show
they
reproduce
most
established
empirical
results
field
value-based
making.
Finally,
discuss
possible
connections
between
prominent
neurocognitive
theories
effort
regulation.
Nature Communications,
Год журнала:
2021,
Номер
12(1)
Опубликована: Дек. 17, 2021
Confidence,
the
subjective
estimate
of
decision
quality,
is
a
cognitive
process
necessary
for
learning
from
mistakes
and
guiding
future
actions.
The
origins
confidence
judgments
resulting
economic
decisions
remain
unclear.
We
devise
task
computational
framework
that
allowed
us
to
formally
tease
apart
impact
various
sources
in
value-based
decisions,
such
as
uncertainty
emerging
encoding
decoding
operations,
well
interplay
between
gaze-shift
dynamics
attentional
effort.
In
line
with
canonical
theories,
trial-to-trial
fluctuations
precision
value
choice
consistency.
However,
this
has
no
influence
on
reports.
Instead,
associated
endogenous
effort
towards
alternatives
down-stream
noise
comparison
process.
These
findings
provide
an
explanation
(miss)attributions
value-guided
behaviour,
suggesting
mechanistic
influences
states
metacognitive
awareness
certainty.
Molecular Psychiatry,
Год журнала:
2023,
Номер
28(6), С. 2189 - 2196
Опубликована: Июнь 1, 2023
Abstract
Computational
psychiatry
is
a
field
aimed
at
developing
formal
models
of
information
processing
in
the
human
brain,
and
how
alterations
this
can
lead
to
clinical
phenomena.
There
has
been
significant
progress
development
tasks
model
them,
presenting
an
opportunity
incorporate
computational
methodologies
into
large-
scale
research
projects
or
practice.
In
viewpoint,
we
explore
some
barriers
incorporation
wider
mainstream
directions.
These
include
time
required
for
participants
complete
tasks,
test-retest
reliability,
limited
ecological
validity,
as
well
practical
concerns,
such
lack
expertise
expense
large
sample
sizes
traditionally
validate
models.
We
then
discuss
solutions,
redesigning
with
view
toward
feasibility,
integration
more
ecologically
valid
standardized
game
platforms
that
be
easily
disseminated.
Finally,
provide
example
one
task,
conditioned
hallucinations
might
translated
game.
It
our
hope
interest
creation
accessible
feasible
will
help
methods
make
positive
impacts
on
as,
eventually,
Cognitive Psychology,
Год журнала:
2025,
Номер
156, С. 101713 - 101713
Опубликована: Янв. 1, 2025
Some
seemingly
irrational
decision
behaviors
(anomalies),
once
seen
as
flaws
in
human
cognition,
have
recently
received
explanations
from
a
rational
perspective.
The
basic
idea
is
that
the
brain
has
limited
cognitive
resources
to
process
quantities
(e.g.,
value,
probability,
time,
etc.)
required
for
making,
with
specific
biases
arising
byproducts
of
resource
allocation
optimized
environment.
While
appealing
providing
normative
accounts,
existing
resource-rational
models
limitations
such
inconsistent
assumptions
across
models,
focus
on
optimization
one
aspect
environment,
and
coverage
anomalies.
One
challenging
anomaly
peanuts
effect,
pervasive
phenomenon
decision-making
under
risk
implies
an
interdependence
between
processing
value
probability.
To
extend
rationality
approach
explain
here
we
develop
computational
framework-the
Assemblable
Resource-Rational
Modules
(ARRM)-that
integrates
ideas
different
lines
boundedly-rational
freely
assembled
modules.
framework
can
accommodate
joint
functioning
multiple
environmental
factors,
allow
new
be
built
tested
along
ones,
potentially
opening
wider
range
phenomena
bounded
modeling.
For
three
published
datasets
cover
two
task
paradigms
both
gain
loss
domains,
our
reproduce
characteristic
features
effect
outperform
previous
fitting
behaviors.
Frontiers in Neuroscience,
Год журнала:
2024,
Номер
17
Опубликована: Янв. 25, 2024
Introduction
The
formation
and
functioning
of
neural
networks
hinge
critically
on
the
balance
between
structurally
homologous
areas
in
hemispheres.
This
balance,
reflecting
their
physiological
relationship,
is
fundamental
for
learning
processes.
In
our
study,
we
explore
this
functional
homology
resting
state,
employing
a
complexity
measure
that
accounts
temporal
patterns
neurodynamics.
Methods
We
used
Normalized
Compression
Distance
(NCD)
to
assess
similarity
over
time,
neurodynamics,
somatosensory
associated
with
hand
perception
(S1).
assessment
was
conducted
using
magnetoencephalography
(MEG)
conjunction
Functional
Source
Separation
(FSS).
Our
primary
hypothesis
posited
neurodynamic
would
be
more
pronounced
within
individual
subjects
than
across
different
individuals.
Additionally,
investigated
whether
influenced
by
hemisphere
or
age
at
population
level.
Results
findings
validate
hypothesis,
indicating
NCD
robust
tool
capturing
balanced
hemispheric
regions.
Notably,
observed
higher
degree
left
compared
right.
Also,
found
intra-subject
displayed
greater
variability
older
individuals
younger
ones.
Discussion
approach
could
instrumental
investigating
chronic
neurological
conditions
marked
imbalances
brain
activity,
such
as
depression,
addiction,
fatigue,
epilepsy.
It
holds
potential
aiding
development
new
therapeutic
strategies
tailored
these
complex
conditions,
though
further
research
needed
fully
realize
potential.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 15, 2024
Learning
new
skills
requires
neuroplasticity.
Vagus
nerve
stimulation
(VNS)
during
sensory
and
motor
events
can
increase
neuroplasticity
in
networks
related
to
these
might
therefore
serve
facilitate
learning
on
tasks.
We
tested
if
VNS
could
broadly
improve
a
wide
variety
of
tasks
across
different
skill
domains
healthy,
female
adult
rats.
was
paired
with
presentation
stimuli
or
successful
trials
training,
strategies
known
plasticity
recovery
models
neurological
disorders.
failed
either
rate
performance
for
any
the
tasks,
which
included
skilled
forelimb
control,
speech
sound
discrimination,
paired-associates
learning.
These
results
contrast
recent
findings
from
multiple
labs
found
pairing
training
produced
enhancements
motor,
auditory,
cognitive
domains.
speculate
that
contrasting
may
be
explained
by
key
differences
task
designs,
timelines
animal
handling
approaches,
while
able
rapid
early
processes
healthy
subjects,
it
does
not
enhance
difficult