Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 24, 2024
Abstract
Neuroscientists
rely
on
distributed
spatio-temporal
patterns
of
neural
activity
to
understand
how
units
contribute
cognitive
functions
and
behavior.
However,
the
extent
which
reliably
indicates
a
unit's
causal
contribution
behavior
is
not
well
understood.
To
address
this
issue,
we
provide
systematic
multi-site
perturbation
framework
that
captures
time-varying
contributions
elements
collectively
produced
outcome.
Applying
our
intuitive
toy
examples
artificial
networks
revealed
recorded
may
be
generally
informative
their
due
transformations
within
network.
Overall,
findings
emphasize
limitations
inferring
mechanisms
from
activities
offer
rigorous
lesioning
for
elucidating
contributions.
Intelligent Computing,
Journal Year:
2023,
Volume and Issue:
2
Published: Jan. 1, 2023
Computing
is
a
critical
driving
force
in
the
development
of
human
civilization.
In
recent
years,
we
have
witnessed
emergence
intelligent
computing,
new
computing
paradigm
that
reshaping
traditional
and
promoting
digital
revolution
era
big
data,
artificial
intelligence,
internet
things
with
theories,
architectures,
methods,
systems,
applications.
Intelligent
has
greatly
broadened
scope
extending
it
from
on
data
to
increasingly
diverse
paradigms
such
as
perceptual
cognitive
autonomous
human–computer
fusion
intelligence.
Intelligence
undergone
paths
different
evolution
for
long
time
but
become
intertwined
years:
not
only
intelligence
oriented
also
driven.
Such
cross-fertilization
prompted
rapid
advancement
computing.
still
its
infancy,
an
abundance
innovations
applications
expected
occur
soon.
We
present
first
comprehensive
survey
literature
covering
theory
fundamentals,
technological
important
applications,
challenges,
future
perspectives.
believe
this
highly
timely
will
provide
reference
cast
valuable
insights
into
academic
industrial
researchers
practitioners.
Behavioral and Brain Sciences,
Journal Year:
2022,
Volume and Issue:
46
Published: Dec. 6, 2022
Mental
representations
remain
the
central
posits
of
psychology
after
many
decades
scrutiny.
However,
there
is
no
consensus
about
representational
format(s)
biological
cognition.
This
paper
provides
a
survey
evidence
from
computational
cognitive
psychology,
perceptual
developmental
comparative
and
social
concludes
that
one
type
format
routinely
crops
up
language-of-thought
(LoT).
We
outline
six
core
properties
LoTs:
(i)
discrete
constituents;
(ii)
role-filler
independence;
(iii)
predicate-argument
structure;
(iv)
logical
operators;
(v)
inferential
promiscuity;
(vi)
abstract
content.
These
cluster
together
throughout
science.
Bayesian
modeling,
compositional
features
object
perception,
complex
infant
animal
reasoning,
automatic,
intuitive
cognition
in
adults
all
implicate
LoT-like
structures.
Instead
regarding
LoT
as
relic
previous
century,
researchers
science
philosophy-of-mind
must
take
seriously
explanatory
breadth
LoT-based
architectures.
grant
mind
may
harbor
formats
architectures,
including
iconic
associative
structures
well
deep-neural-network-like
computational/representational
approaches
to
continue
advance,
classical
symbolic
-
is,
LoTs
only
prove
more
flexible
well-supported
over
time.
Nature,
Journal Year:
2023,
Volume and Issue:
623(7988), P. 765 - 771
Published: Nov. 8, 2023
Abstract
Animals
of
the
same
species
exhibit
similar
behaviours
that
are
advantageously
adapted
to
their
body
and
environment.
These
shaped
at
level
by
selection
pressures
over
evolutionary
timescales.
Yet,
it
remains
unclear
how
these
common
behavioural
adaptations
emerge
from
idiosyncratic
neural
circuitry
each
individual.
The
overall
organization
circuits
is
preserved
across
individuals
1
because
evolutionarily
specified
developmental
programme
2–4
.
Such
circuit
may
constrain
activity
5–8
,
leading
low-dimensional
latent
dynamics
population
9–11
Accordingly,
here
we
suggested
shared
circuit-level
constraints
within
a
would
lead
suitably
individuals.
We
analysed
recordings
populations
monkey
mouse
motor
cortex
demonstrate
in
surprisingly
when
they
perform
behaviour.
Neural
were
also
animals
consciously
planned
future
movements
without
overt
behaviour
12
enabled
decoding
ongoing
movement
different
Furthermore,
found
extend
beyond
cortical
regions
dorsal
striatum,
an
older
structure
13,14
Finally,
used
network
models
similarity
necessary
but
not
sufficient
for
this
preservation.
posit
emergent
result
on
brain
development
thus
reflect
fundamental
properties
basis
Electronics,
Journal Year:
2024,
Volume and Issue:
13(18), P. 3762 - 3762
Published: Sept. 22, 2024
This
paper
reviews
the
literature
on
integrating
AI
in
e-learning,
from
viewpoint
of
cognitive
neuropsychology,
for
Personalized
Learning
(PL)
and
Adaptive
Assessment
(AA).
review
follows
PRISMA
systematic
methodology
synthesizes
results
85
studies
that
were
selected
an
initial
pool
818
records
across
several
databases.
The
indicate
can
improve
students’
performance,
engagement,
motivation;
at
same
time,
some
challenges
like
bias
discrimination
should
be
noted.
covers
historic
development
education,
its
theoretical
grounding,
practical
applications
within
PL
AA
with
high
promise
ethical
issues
AI-powered
educational
systems.
Future
directions
are
empirical
validation
effectiveness
equity,
algorithms
reduce
bias,
exploration
implications
regarding
data
privacy.
identifies
transformative
potential
developing
personalized
adaptive
learning
(AL)
environments,
thus,
it
advocates
continued
as
a
means
to
outcomes.
