Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 166 - 192
Published: June 30, 2024
The
innovation
of
large
language
models
(LLMs)
has
widened
possibilities
for
renovating
healthcare
education
through
AI-powered
learning
resources,
such
as
chatbots.
This
chapter
explores
the
assimilation
LLMs
with
Bloom's
taxonomy,
demonstrating
how
this
foundational
framework
designing
and
assessing
outcomes
can
support
development
critical
thinking,
problem-solving,
decision-making
skills
in
learners.
Through
case
examples
research
presentations,
illustrates
LLM
chatbots
provide
interactive,
scaffolding,
contextually
relevant
experiences.
However,
it
also
highlights
importance
these
tools
key
principles
mind,
including
learner-centeredness,
co-creation
domain
experts,
principled
responsibility.
By
embracing
a
collaborative,
interdisciplinary,
future-oriented
approach
to
chatbot
design
development,
power
be
harnessed
revolutionize
ultimately
improve
patient
care.
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: Jan. 18, 2025
Although
intense
research
effort
is
seeking
to
address
which
brain
areas
fire
and
connect
each
other
produce
complex
behaviors
in
a
few
living
primates,
little
known
about
their
evolution,
or
facets
of
cognition
were
favored
by
natural
selection.
By
developing
statistical
tools
study
the
evolution
cortex
at
fine
scale,
we
found
that
rapid
cortical
expansion
prefrontal
region
took
place
early
on
during
primates.
In
anthropoids,
fast-expanding
extended
posterior
parietal
cortex.
Homo,
further
affected
medial
temporal
lobe
posteroinferior
lobe.
Collectively,
anthropoids
are
form
network
producing
mind
reading
abilities
higher-order
cognitive
functions.
These
results
indicate
pursuing
drove
Primate
brains.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 30, 2025
Abstract
The
lateral
prefrontal
cortex
has
been
classically
defined
as
an
associative
region
involved
in
the
so-called
executive
functions,
such
guiding
behavior
based
on
abstract
rules
and
mnemonic
information.
However,
most
neurophysiological
studies
monkeys
did
not
address
issue
of
whether
distinct
anatomical
sectors
play
different
functional
roles.
main
aim
this
work
is
to
study
properties
neurons
recorded
from
a
large
part
ventrolateral
(VLPF)
two
performing
passive
visual
tasks
visuo-motor
task,
map
them
areas
basis
our
recent
parcellations.
Our
results
show
that
VLPF
differently
contribute
processing
action
organization
along
caudo-rostral
axis.
In
particular,
stimuli,
independent
passively
presented
or
exploited
for
behavior,
primarily
involves
posterior
(especially
caudal
area
12r),
while
elaboration
contextual
information
mainly
intermediate
middle
46v).
latter
sector,
stimuli/instructions
appear
be
encoded
pragmatic
format,
terms
associated
behavioral
outcome.
Finally,
more
anterior
are
characterized
by
low
responsiveness
employed
tasks.
Altogether,
findings
indicate
represent
first
stage
input,
selection
planning
contextually
appropriate
behaviors,
rostral
could
complex
processes.
The
zona
incerta
(ZI)
is
a
deep
brain
region
originally
described
by
Auguste
Forel
as
an
“immensely
confusing
area
about
which
nothing
can
be
said.”
Despite
the
elusive
nature
of
this
structure,
mounting
evidence
supports
role
ZI
and
surrounding
regions
across
diverse
range
functions
candidate
target
for
neuromodulatory
therapies.
Using
in
vivo
diffusion
MRI
data-driven
connectivity,
we
identify
topographic
organization
between
neocortex.
Specifically,
our
methods
rostral-caudal
gradient
predominantly
connecting
frontopolar
ventral
prefrontal
cortices
with
rostral
ZI,
primary
sensorimotor
caudal
ZI.
Moreover,
demonstrate
how
clustering
approaches
build
complementary
including
facilitating
mapping
central
connected
dorsal
cortex.
These
results
were
shown
to
replicable
multiple
datasets
at
individual
subject
level,
building
important
mediating
frontal
lobe-associated
tasks,
ranging
from
motor
cognitive
emotional
control.
Finally,
consider
impact
on
refinement
targets.
pave
way
increasingly
detailed
understanding
substructures,
considerations
targeting
neuromodulation.
The
zona
incerta
(ZI)
is
a
deep
brain
region
originally
described
by
Auguste
Forel
as
an
“immensely
confusing
area
about
which
nothing
can
be
said.”
Despite
the
elusive
nature
of
this
structure,
mounting
evidence
supports
role
ZI
and
surrounding
regions
across
diverse
range
functions
candidate
target
for
neuromodulatory
therapies.
Using
in
vivo
diffusion
MRI
data-driven
connectivity,
we
identify
topographic
organization
between
neocortex.
Specifically,
our
methods
rostral-caudal
gradient
predominantly
connecting
frontopolar
ventral
prefrontal
cortices
with
rostral
ZI,
primary
sensorimotor
caudal
ZI.
Moreover,
demonstrate
how
clustering
approaches
build
complementary
including
facilitating
mapping
central
connected
dorsal
cortex.
These
results
were
shown
to
replicable
multiple
datasets
at
individual
subject
level,
building
important
mediating
frontal
lobe-associated
tasks,
ranging
from
motor
cognitive
emotional
control.
Finally,
consider
impact
on
refinement
targets.
pave
way
increasingly
detailed
understanding
substructures,
considerations
targeting
neuromodulation.
NeuroImage,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121131 - 121131
Published: March 1, 2025
Decoding
latent
preferences
for
novel
products
is
crucial
understanding
decision-making
processes,
especially
when
subjective
evaluations
are
unclear.
Brain
activity
in
regions
like
the
medial
orbitofrontal
cortex
and
nucleus
accumbens
(NAcc)
correlates
with
preferences.
However,
whether
these
represent
toward
coding
persists
after
familiarity
remain
We
examined
brain
of
scented
how
they
evolve
familiarity.
measured
functional
magnetic
resonance
imaging
(fMRI)
signals
evoked
by
three
fabric
softener
odors,
both
familiar,
25
previously
unexposed
females.
To
obtain
reliable
preferences,
participants
chose
one
using
all
twice
at
home
first
fMRI
measurement
(Day
1)
continued
it
four
months
until
second
day
2).
Subjective
ratings
were
also
obtained
each
run.
On
Day
1,
no
significant
differences
between
selected
non-selected
odors
found.
decoding
analysis
revealed
that
future
odor
coded
several
regions,
including
left
superior
frontal
lobe
(SF),
right
NAcc,
piriform
cortex.
2,
SF
to
encode
These
results
suggest
even
without
conscious
awareness,
robust
against
findings
provide
insights
into
a
more
comprehensive
The Journal of Comparative Neurology,
Journal Year:
2025,
Volume and Issue:
533(3)
Published: March 1, 2025
Defining
intelligence
is
a
challenging
and
fraught
task,
but
one
that
neuroscientists
are
repeatedly
confronted
with.
A
central
goal
of
neuroscience
to
understand
how
phenomena
like
intelligent
behaviors
emerge
from
nervous
systems.
This
requires
some
determination
what
defines
measure
it.
The
challenge
multifaceted.
For
instance,
as
we
begin
describe
the
brain
in
increasingly
specific
physical
terms
(e.g.,
anatomy,
cell
types,
activity
patterns),
amplify
an
ever-growing
divide
connect
measurable
properties
less
tangible
concepts
intelligence.
As
our
appreciation
for
evolutionary
diversity
grows,
further
with
whether
there
can
be
unifying
theory
National
Science
Foundation
(NSF)
NeuroNex
consortium
recently
gathered
experts
multiple
animal
model
systems
discuss
across
species.
We
summarize
here
different
perspectives
offered
by
consortium,
promoting
thought
debate
this
ancient
question
modern
perspective,
asking
defining
useful
exercise
or
ill-posed
distracting
question.
present
data
vantage
points
humans,
macaques,
ferrets,
crows,
octopuses,
bees,
flies,
highlighting
noteworthy
capabilities
each
species
within
context
species'
ecological
niche
these
may
challenged
climate
change.
also
include
remarkable
example
convergent
evolution
between
primates
crows
circuit
molecular
basis
working
memory
highly
divergent