Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 289 - 306
Опубликована: Окт. 4, 2024
The
healthcare
industry
has
recently
experienced
an
increasing
need
for
miniaturization,
low
power
consumption,
rapid
treatments,
and
non-invasive
clinical
approaches.
To
fulfil
these
requirements,
professionals
actively
search
innovative
technological
frameworks
to
enhance
diagnostic
precision
while
guaranteeing
patient
adherence.
Neuromorphic
computing,
which
employs
hardware
software
neural
models
imitate
brain-like
behaviors,
can
facilitate
a
new
era
in
medicine
by
providing
energy-efficient
solutions,
having
minimal
delay,
occupying
less
space,
offering
high
data
transfer
rates.
plays
vital
role
healthcare,
i.e.,
image
processing,
drug
discovery,
disease
prediction.
This
chapter
provides
comprehensive
overview
of
advancements
their
application
using
intelligent
computing.
Advanced Materials,
Год журнала:
2024,
Номер
36(35)
Опубликована: Июнь 27, 2024
Sense
digitalization,
the
process
of
transforming
sensory
experiences
into
digital
data,
is
an
emerging
research
frontier
that
links
physical
world
with
human
perception
and
interaction.
Inspired
by
adaptability,
fault
tolerance,
robustness,
energy
efficiency
biological
senses,
this
field
drives
development
numerous
innovative
digitalization
techniques.
Neuromorphic
bioelectronics,
characterized
biomimetic
stand
out
for
their
seamless
bidirectional
interactions
entities
through
stimulus-response
feedback
loops,
incorporating
bio-neuromorphic
intelligence
information
exchange.
This
review
illustrates
recent
progress
in
encompassing
not
only
representation
sensations
such
as
touch,
light,
temperature,
correlating
to
tactile,
visual,
thermal
perceptions,
but
also
detection
biochemical
stimuli
gases,
ions,
neurotransmitters,
mirroring
olfactory,
gustatory,
neural
processes.
It
thoroughly
examines
material
design,
device
manufacturing,
system
integration,
offering
detailed
insights.
However,
faces
significant
challenges,
including
new
device/system
paradigms,
forging
genuine
connections
systems,
ensuring
compatibility
semiconductor
industry
overcoming
absence
standardization.
Future
ambition
includes
realization
biocompatible
prosthetics,
exoskeletons,
soft
humanoid
robots,
cybernetic
devices
integrate
smoothly
both
tissues
artificial
components.
Journal of Semiconductors,
Год журнала:
2025,
Номер
46(1), С. 011604 - 011604
Опубликована: Янв. 1, 2025
Abstract
Organic
electrochemical
transistors
have
emerged
as
a
solution
for
artificial
synapses
that
mimic
the
neural
functions
of
brain
structure,
holding
great
potentials
to
break
bottleneck
von
Neumann
architectures.
However,
current
rely
primarily
on
electrical
signals,
and
little
attention
has
been
paid
vital
role
neurotransmitter-mediated
synapses.
Dopamine
is
key
neurotransmitter
associated
with
emotion
regulation
cognitive
processes
needs
be
monitored
in
real
time
advance
development
disease
diagnostics
neuroscience.
To
provide
insights
into
involvement,
this
review
proposes
three
steps
towards
future
biomimic
bioinspired
neuromorphic
systems.
We
first
summarize
OECT-based
dopamine
detection
devices,
then
advances
resultant
advanced
Finally,
by
exploring
challenges
opportunities
related
such
systems,
we
perspective
biomimetic
Nano Letters,
Год журнала:
2024,
Номер
24(34), С. 10475 - 10481
Опубликована: Авг. 8, 2024
Memristors
show
promising
features
for
neuromorphic
computing.
Here
we
report
a
soft
memristor
based
on
the
liquid–vapor
surface
of
microbubble.
The
thickness
liquid
film
was
modulated
by
electrostatic
and
interfacial
forces,
enabling
resistance
switches.
We
found
pinched
current
hysteresis
at
scanning
periods
between
1.6
51.2
s,
while
representing
resistor
below
s
diode-like
behavior
above
s.
approximate
thickening/thinning
dynamics
pressure-driven
flow
interface
derived
impacts
salt
concentration
voltage
amplitude
memory
effects.
Our
work
opens
new
approach
to
building
nanofluidic
memristors
interface,
which
may
be
useful
types
computing
in
future.
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 9, 2024
Abstract
Biological‐machine
interface
(BMI)
devices
represent
a
significant
step
toward
adaptive
and
cognitive
technologies.
However,
current
BMI
emphasize
the
analysis
of
electrophysiology
often
overlook
chemical
information
neurotransmitters
in
process
signaling
between
neurons.
To
bridge
this
gap,
light‐gated
artificial
postsynaptic
membrane
(APM)
is
introduced,
capable
reading
dopamine
(DA)
released
from
rat
pheochromocytoma
cells
regulate
neural
signal
transmission.
Like
biological
membrane,
APM
porous
functionalized
by
DA‐specific
aptamers
azobenzene
(Azo)
molecules
different
regions.
Azo
act
as
light‐responsive
trigger
that
controls
DA
release,
while
capture
DA,
which
converts
its
concentration
into
an
ionic
signal.
By
light‐enhanced
responses
to
exocytosis
(PC12)
cells,
confirms
ability
communicate
with
systems,
lays
foundation
for
developing
biological‐machine
interaction
systems
more
advanced
functionalities.
