Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(11)
Опубликована: Март 26, 2024
Abstract
Pain‐perceptual
Nociceptors
(PPNs)
in
the
biological
sensory
system
are
critical
for
human
body
to
perceive
noxious
stimuli
from
outside
world
and
start
appropriate
motor
responses
minimize
potential
physical
damage.
Realization
artificial
nociceptors
with
unique
synaptic
pain‐perceptual
functions
of
nervous
is
a
key
step
develop
next‐generation
intelligence
systems.
Here,
an
device
based
on
ionic
liquid‐polymer
solid‐state
electrolyte‐gated
poly(3‐hexylthiophene)
(P3HT)
transistor
reported.
With
drift
motion
mobile
ions
electrolyte
layer
formation
electric
double
(EDL)
at
electrolyte/semiconductor
interface
under
applied
field,
channel
conductance
can
be
tuned
progressively
exhibit
weight
modulation
function.
On
top
functions,
P3HT/electrolyte‐based
successfully
emulates
pain‐perception
process
nociceptor,
all
features
threshold,
no
adaptation,
sensitization/desensitization,
relaxation.
Moreover,
pain
conditioning
(i.e.,
hyperalgesic
response,
extinction
effect)
through
associative
learning
demonstrated
using
transistor,
indicating
its
application
bio‐inspired
neural
Advanced Functional Materials,
Год журнала:
2023,
Номер
34(15)
Опубликована: Авг. 2, 2023
Abstract
This
study
presents
a
method
to
enhance
data
processing
by
integrating
unidirectional
analogue
artificial
neuromorphic
memristor
device
with
piezoelectric
nanogenerator,
taking
inspiration
from
biological
information
processing.
A
self‐powered
resistive
memory
is
proposed,
comprising
an
ITO/ZnO/Yb
2
O
3
/Au
structure
combined
high‐sensitivity
nanogenerator
(PENG)
ITO/ZnO/Al.
The
operated
at
voltage
sweep
of
±4
V
low
operating
current
in
range
1.4
µA.
filament
formation
studied
using
conductive
mode
atomic
force
microscope.
integration
enables
the
creation
sensing
system
that
converts
mechanical
stimuli
PENG
into
electrical
signals,
which
are
subsequently
processed
mimic
functionality
neuron
without
requiring
additional
circuitry.
emulation
encompasses
crucial
functions
such
as
potentiation,
depression,
and
synaptic
plasticity.
Furthermore,
this
highlights
potential
for
hardware
implementations
neural
networks
weight
change
nonlinearity
(NL)
potentiation
depression
1.94
0.89,
respectively,
accuracy
93%.
outcomes
research
contribute
progress
next‐generation
low‐power,
perception
correlated
learning
trainable
capabilities.
Advanced Intelligent Systems,
Год журнала:
2023,
Номер
5(7)
Опубликована: Март 15, 2023
The
past
decades
have
seen
the
rapid
development
of
tactile
sensors
in
material,
fabrication,
and
mechanical
structure
design.
advancement
has
heightened
expectation
sensor
functions,
thus
put
forward
a
higher
demand
for
data
processing.
However,
conventional
analysis
techniques
not
kept
pace
with
still
suffer
from
some
severe
drawbacks,
like
cumbersome
models,
poor
efficiency,
expensive
costs.
Machine
learning,
its
prominent
ability
big
fast
processing
speed,
can
offer
many
possibilities
analysis.
Herein,
machine
learning
employed
signals
are
reviewed.
Supervised
unsupervised
analog
covered,
spike
summarized.
Furthermore,
applications
robotic
perception
human
activity
monitoring
presented.
Finally,
current
challenges
future
prospects
sensors,
data,
algorithms,
benchmarks
discussed.
Chemical Reviews,
Год журнала:
2024,
Номер
124(22), С. 12738 - 12843
Опубликована: Ноя. 5, 2024
The
quest
to
imbue
machines
with
intelligence
akin
that
of
humans,
through
the
development
adaptable
neuromorphic
devices
and
creation
artificial
neural
systems,
has
long
stood
as
a
pivotal
goal
in
both
scientific
inquiry
industrial
advancement.
Recent
advancements
flexible
electronics
primarily
rely
on
nanomaterials
polymers
owing
their
inherent
uniformity,
superior
mechanical
electrical
capabilities,
versatile
functionalities.
However,
this
field
is
still
its
nascent
stage,
necessitating
continuous
efforts
materials
innovation
device/system
design.
Therefore,
it
imperative
conduct
an
extensive
comprehensive
analysis
summarize
current
progress.
This
review
highlights
applications
neuromorphics,
involving
inorganic
(zero-/one-/two-dimensional,
heterostructure),
carbon-based
such
carbon
nanotubes
(CNTs)
graphene,
polymers.
Additionally,
comparison
summary
structural
compositions,
design
strategies,
key
performance,
significant
these
are
provided.
Furthermore,
challenges
future
directions
pertaining
materials/devices/systems
associated
neuromorphics
also
addressed.
aim
shed
light
rapidly
growing
attract
experts
from
diverse
disciplines
(e.g.,
electronics,
science,
neurobiology),
foster
further
for
accelerated
development.
Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(11)
Опубликована: Март 26, 2024
Abstract
Pain‐perceptual
Nociceptors
(PPNs)
in
the
biological
sensory
system
are
critical
for
human
body
to
perceive
noxious
stimuli
from
outside
world
and
start
appropriate
motor
responses
minimize
potential
physical
damage.
Realization
artificial
nociceptors
with
unique
synaptic
pain‐perceptual
functions
of
nervous
is
a
key
step
develop
next‐generation
intelligence
systems.
Here,
an
device
based
on
ionic
liquid‐polymer
solid‐state
electrolyte‐gated
poly(3‐hexylthiophene)
(P3HT)
transistor
reported.
With
drift
motion
mobile
ions
electrolyte
layer
formation
electric
double
(EDL)
at
electrolyte/semiconductor
interface
under
applied
field,
channel
conductance
can
be
tuned
progressively
exhibit
weight
modulation
function.
On
top
functions,
P3HT/electrolyte‐based
successfully
emulates
pain‐perception
process
nociceptor,
all
features
threshold,
no
adaptation,
sensitization/desensitization,
relaxation.
Moreover,
pain
conditioning
(i.e.,
hyperalgesic
response,
extinction
effect)
through
associative
learning
demonstrated
using
transistor,
indicating
its
application
bio‐inspired
neural
