From
a
brain
processing
perspective,
the
perception
of
creative
thinking
is
rooted
in
underlying
cognitive
process,
which
facilitates
exploring
and
cultivating
novel
avenues
problem-solving
strategies.
However,
it
challenging
to
emulate
intricate
complexity
how
human
presents
way
uncover
unique
solutions.
One
potential
approach
mitigate
this
incorporating
cognition
within
evolving
artificial
intelligence
systems
associated
neural
models.
Hopfield
Neural
Networks
(HNN)
are
commonly
acknowledged
as
simplified
model,
renowned
for
their
biological
plausibility
store
retrieve
information,
specifically
patterns
neurons.
Therefore,
we
propose
first
time
using
HNN
generate
model
that
emulates
specific
processes
based
on
generating
meaningful
links
between
seemingly
disparate
concepts.
Big Data and Cognitive Computing,
Journal Year:
2023,
Volume and Issue:
7(3), P. 124 - 124
Published: June 27, 2023
Large
Language
Models
(LLMs)
are
becoming
increasingly
integrated
into
our
lives.
Hence,
it
is
important
to
understand
the
biases
present
in
their
outputs
order
avoid
perpetuating
harmful
stereotypes,
which
originate
own
flawed
ways
of
thinking.
This
challenge
requires
developing
new
benchmarks
and
methods
for
quantifying
affective
semantic
bias,
keeping
mind
that
LLMs
act
as
psycho-social
mirrors
reflect
views
tendencies
prevalent
society.
One
such
tendency
has
negative
effects
global
phenomenon
anxiety
toward
math
STEM
subjects.
In
this
study,
we
introduce
a
novel
application
network
science
cognitive
psychology
towards
fields
from
ChatGPT,
GPT-3,
GPT-3.5,
GPT-4.
Specifically,
use
behavioral
forma
mentis
networks
(BFMNs)
how
these
frame
disciplines
relation
other
concepts.
We
data
obtained
by
probing
three
language
generation
task
previously
been
applied
humans.
Our
findings
indicate
have
perceptions
fields,
associating
with
concepts
6
cases
out
10.
observe
significant
differences
across
OpenAI’s
models:
newer
versions
(i.e.,
GPT-4)
produce
5×
semantically
richer,
more
emotionally
polarized
fewer
associations
compared
older
N=159
high-school
students.
These
suggest
advances
architecture
may
lead
less
biased
models
could
even
perhaps
someday
aid
reducing
stereotypes
society
rather
than
them.
Creativity Research Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 8
Published: March 6, 2024
In
this
invited
paper,
I
briefly
review
my
past,
current,
and
future
lines
of
research.
The
associative
theory
creativity
argues
that
higher
creative
individuals
have
a
richer
semantic
memory
structure
facilitates
broader
search
processes,
leads
to
the
combination
remote
concepts
into
novel
appropriate
ideas.
Based
on
theory,
in
research
investigate
role
knowledge
–
or
high-level
cognition,
focusing
creativity,
thinking,
search,
typical
clinical
populations.
To
do
so,
apply
computational
tools
from
network
science,
natural
language
processing,
machine
learning,
coupled
with
empirical
cognitive
neural
Such
are
enabling
representation
operationalization
processes
operate
over
it.
This
is
critical
as
it
allows
us
start
quantifying
issues
for
very
long
time
were
studied
subjectively
remoteness
ideas,
flexible/richer
structure,
etc.
work
offering
unique,
quantitative,
ways
directly
study
classic
theories
propelling
forward
our
understanding
its
complexity.
Neurocomputing,
Journal Year:
2024,
Volume and Issue:
575, P. 127324 - 127324
Published: Jan. 25, 2024
From
a
brain
processing
perspective,
the
perception
of
creative
thinking
is
rooted
in
underlying
cognitive
process,
which
facilitates
exploring
and
cultivating
novel
avenues
problem-solving
strategies.
However,
it
challenging
to
emulate
intricate
complexity
how
human
presents
way
uncover
unique
solutions.
One
potential
approach
mitigating
this
incorporating
cognition
into
evolving
artificial
intelligence
systems
associated
neural
models.
Hopfield
networks
(HNN)
are
commonly
acknowledged
as
simplified
model,
renowned
for
their
biological
plausibility
store
retrieve
information,
specifically
patterns
neurons.
Our
findings
suggest
utilizing
modern
HNN
by
making
meaningful
associations
between
seemingly
disparate
concepts.
This
semantic
link
represented
radio
knob
that
can
be
set
determine
whether
network
solves
problems
creatively
or
shuts
down;
threshold
parameter.
We
used
term
"first
creativity"
describe
certain
pattern
utilized
"second
aid
examination
alternatives
within
network.
By
manipulating
knobs,
possible
selectively
suppress
specific
patterns,
facilitating
functioning
identifying
other
with
input
linked.
Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: July 4, 2024
The
associative
theory
of
creativity
proposes
that
creative
ideas
result
from
connecting
remotely
related
concepts
in
memory.
Previous
research
found
higher
individuals
exhibit
a
more
flexible
organization
semantic
memory,
generate
uncommon
word
associations,
and
judge
remote
as
related.
In
this
study
(N
=
93),
we
used
fMRI
to
investigate
brain
regions
involved
judging
the
relatedness
vary
their
distance,
how
such
neural
involvement
relates
individual
differences
creativity.
Brain
where
activity
increased
with
mainly
overlapped
default,
control,
salience,
multiple
demand
networks.
default
control
networks
exhibited
when
evaluating
associations.
Finally,
people,
who
provided
judgements
on
average,
lower
those
regions,
possibly
reflecting
efficiency.
We
discuss
these
findings
context
neurocognitive
processing
underlying
Overall,
our
indicate
reflects
cognitive
mechanism
shed
light
correlates
mechanism.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: May 9, 2025
Abstract
The
neural
mechanisms
driving
creative
problem-solving,
including
representational
change
and
its
relation
to
memory,
still
remain
largely
unknown.
We
focus
on
the
process
of
insight,
wherein
rapid
knowledge
reorganization
integration—termed
change—yield
solutions
that
evoke
suddenness,
certainty,
positive
emotion,
enduring
memory.
posit
this
is
associated
with
stronger
shifts
in
activation
patterns
within
brain
regions
housing
solution-relevant
information,
visual
cortex
for
problems,
alongside
linked
feelings
suddenness
subsequent
To
test
this,
we
collect
participants’
activity
while
they
solve
insight
problems
MRI.
Our
findings
substantiate
these
hypotheses,
revealing
changes
cortex,
coupled
activations
amygdala
hippocampus—forming
an
interconnected
network.
Importantly,
hippocampal
effects
are
positively
This
study
provides
evidence
integrated
mechanism
influencing
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 14, 2023
ABSTRACT
Despite
the
need
for
innovative
solutions
to
contemporary
challenges,
neural
mechanisms
driving
creative
problem-solving,
including
representational
change
and
its
relation
memory,
still
remain
largely
unknown.
We
focused
on
powerful
process
of
insight,
wherein
rapid
knowledge
reorganisation
integration—termed
change—yield
that
evoke
suddenness,
certainty,
positive
emotion,
enduring
memory.
posit
this
manifests
as
stronger
shifts
in
activation
patterns
within
brain
regions
housing
solution-relevant
information,
visual
cortex
problems,
alongside
linked
feelings
suddenness
subsequent
Our
findings
substantiate
these
hypotheses,
revealing
changes
cortex,
conjoined
with
activations
amygdala
hippocampus—forming
an
interconnected
network.
Importantly,
hippocampal
effects
serve
predictive
markers
This
study
provides
evidence
integrated
insight
mechanism
influencing
Implications
extend
education,
emphasising
significance
discovery-based
learning
approaches
boosting
retention.
