IEEE Transactions on Electron Devices,
Journal Year:
2022,
Volume and Issue:
69(8), P. 4646 - 4650
Published: June 27, 2022
Hardware
implementation
of
Bienenstock–Cooper–Munro
(BCM)
learning
rules
would
be
great
implications
toward
artificial
intelligent
systems.
In
this
work,
amorphous
indium
gallium
zinc
oxide
(a-IGZO)-based
photoelectronic
neuromorphic
transistors
were
proposed
for
mimicking
BCM
rules.
A
SiO
2
electrolyte
film
with
a
large
electric-double-layer
capacitance
(
$0.33~\mu
\text{F}$
/cm
2
)
was
used
the
gate
dielectric
film.
Light
induced
short-term
synaptic
plasticity
can
mimicked
by
such
device,
including
excitatory
postsynaptic
current
(EPSC),
paired-pulse
facilitation
(PPF),
and
high-pass
temporal
filtering.
More
importantly,
are
realized
based
on
transistor.
These
results
provide
step
forward
development
systems
sophisticated
Advanced Functional Materials,
Journal Year:
2022,
Volume and Issue:
32(26)
Published: March 29, 2022
Abstract
Advanced
organic
bioelectronics
enable
smooth
fusion
between
modern
electronics
and
biological
systems
for
better
physiological
monitoring
pathological
examinations.
Photon‐regulated
are
especially
desirable
due
to
the
non‐contact
impact,
remote‐control,
even
self‐powered
operation.
However,
few
studies
have
addressed
advanced
photon‐enabled
photoelectrochemical
transistor
(OPECT)
biosensors
capable
of
operation
at
zero
gate
bias.
Here,
on
basis
a
hydrogel/graphene
oxide
hybrid
(denoted
as
HGH),
multifunctional
HGH‐gated
OPECT
biosensor
is
presented,
which
exemplified
by
Ca
2+
‐triggered
gelation
CdS
quantum
dot
(QD)
photoelectrode
linking
with
sandwich
immunoassay
toward
human
IgG
model
target.
Gelation
HGH
QD
electrode
can
not
only
inhibit
interfacial
mass
transfer
gate/electrolyte
interface,
but
also
significantly
block
light
absorption
QDs,
leading
corresponding
change
channel
currents
device.
At
bias,
this
exhibits
high
gain
in
response
good
analytical
performance
detection
limit
50
fg
mL
–1
.
Given
numerous
intelligent
hydrogel
materials
their
potential
interactions
light,
work
unveils
general
platform
developing
new
class
hydrogel‐gated
beyond.
Advanced Materials,
Journal Year:
2023,
Volume and Issue:
35(26)
Published: March 24, 2023
Abstract
Visual
adaptation
allows
organisms
to
accurately
perceive
the
external
world
even
in
dramatically
changing
environments,
from
dim
starlight
bright
sunlight.
In
particular,
polarization‐sensitive
visual
can
effectively
process
polarized
information
that
is
ubiquitous
nature.
However,
such
an
intriguing
characteristic
still
remains
a
great
challenge
semiconductor
devices.
Herein,
novel
porous
metal–organic‐framework
phototransistor
with
anisotropic‐ReS
2
‐based
heterojunction
demonstrated
for
emulation.
The
device
exhibits
sensitivity
and
adaptive
ability
due
its
strong
anisotropic
trapping–detrapping
characteristics,
respectively.
A
series
of
neuromorphic
behaviors
like
polarization‐perceptual
excitatory
postsynaptic
current,
multimode
adjustable
dichroic
ratio
reconfigurable
sensory
adaption,
are
experimentally
through
this
phototransistor.
More
importantly,
polarization–electricity
cooperation
strategy,
advanced
bottom‐gate
control
environment
dependence
successfully
realized.
These
results
represent
significant
step
toward
new
generation
intelligent
perception
systems
autonomous
navigation
human–machine
interaction,
etc.
Advanced Materials,
Journal Year:
2023,
Volume and Issue:
35(39)
Published: March 9, 2023
Living
organisms
have
a
very
mysterious
and
powerful
sensory
computing
system
based
on
ion
activity.
Interestingly,
studies
iontronic
devices
in
the
past
few
years
proposed
promising
platform
for
simulating
sensing
functions
of
living
organisms,
because:
1)
can
generate,
store,
transmit
variety
signals
by
adjusting
concentration
spatiotemporal
distribution
ions,
which
analogs
to
how
brain
performs
intelligent
alternating
flux
polarization;
2)
through
ionic-electronic
coupling,
bridge
biosystem
with
electronics
offer
profound
implications
soft
electronics;
3)
diversity
be
designed
recognize
specific
ions
or
molecules
customizing
charge
selectivity,
ionic
conductivity
capacitance
adjusted
respond
external
stimuli
schemes,
more
difficult
electron-based
devices.
This
review
provides
comprehensive
overview
emerging
neuromorphic
devices,
highlighting
representative
concepts
both
low-level
high-level
introducing
important
material
device
breakthroughs.
Moreover,
as
means
are
discussed
regarding
pending
challenges
future
directions.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Sept. 15, 2023
Multisensory
integration
is
a
salient
feature
of
the
brain
which
enables
better
and
faster
responses
in
comparison
to
unisensory
integration,
especially
when
cues
are
weak.
Specialized
neurons
that
receive
convergent
input
from
two
or
more
sensory
modalities
responsible
for
such
multisensory
integration.
Solid-state
devices
can
emulate
response
these
advance
neuromorphic
computing
bridge
gap
between
artificial
natural
intelligence.
Here,
we
introduce
an
visuotactile
neuron
based
on
photosensitive
monolayer
MoS2
memtransistor
triboelectric
tactile
sensor
minutely
captures
three
essential
features
namely,
super-additive
response,
inverse
effectiveness
effect,
temporal
congruency.
We
have
also
realized
circuit
encode
information
into
digital
spiking
events,
with
probability
determined
by
strength
visual
cues.
believe
our
comprehensive
demonstration
bio-inspired
spike
encoding
circuitry
will
field
computing,
has
thus
far
primarily
focused
intelligence
processing.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 3, 2024
In
the
era
of
artificial
intelligence
(AI),
there
is
a
growing
interest
in
replicating
human
sensory
perception.
Selective
and
sensitive
bio-inspired
receptors
with
synaptic
plasticity
have
recently
gained
significant
attention
developing
energy-efficient
AI
Various
their
applications
perception
are
reviewed
here.
The
critical
challenges
for
future
development
outlined,
emphasizing
need
innovative
solutions
to
overcome
hurdles
sensor
design,
integration,
scalability.
can
revolutionize
various
fields,
including
human-machine
interaction,
autonomous
systems,
medical
diagnostics,
environmental
monitoring,
industrial
optimization,
assistive
technologies.
As
advancements
sensing
continue
accelerate,
promise
creating
more
intelligent
adaptive
systems
becomes
increasingly
attainable,
marking
step
forward
evolution
human-like
Materials Horizons,
Journal Year:
2022,
Volume and Issue:
9(5), P. 1448 - 1459
Published: Jan. 1, 2022
A
novel
polarization-perceptual
neuro-transistor
with
reconfigurable
neuromorphic
vision
is
proposed
based
on
a
2D
ReS
2
phototransistor.
Polarized
navigation
learning
ability
and
3D
visual
polarization
imaging
are
experimentally
demonstrated
for
the
first
time.
Advanced Materials,
Journal Year:
2022,
Volume and Issue:
34(48)
Published: June 8, 2022
The
representation
of
external
stimuli
in
the
form
action
potentials
or
spikes
constitutes
basis
energy
efficient
neural
computation
that
emerging
spiking
networks
(SNNs)
aspire
to
imitate.
With
recent
evidence
suggesting
information
brain
is
more
often
represented
by
explicit
firing
times
neurons
rather
than
mean
rates,
it
imperative
develop
novel
hardware
can
accelerate
sparse
and
spike-timing-based
encoding.
Here
a
medium-scale
integrated
circuit
composed
two
cascaded
three-stage
inverters
one
XOR
logic
gate
fabricated
using
total
21
memtransistors
based
on
photosensitive
2D
monolayer
MoS2
for
encoding
visual
information,
introduced.
It
shown
different
illumination
intensities
be
encoded
into
with
time-to-first-spike
representing
is,
higher
invoke
earlier
vice
versa.
In
addition,
non-volatile
analog
programmability
photoencoder
exploited
adaptive
photoencoding
allows
expedited
under
scotopic
(low-light)
deferred
photopic
(bright-light)
conditions,
respectively.
Finally,
low
expenditure
less
1
µJ
2D-memtransistor-based
highlights
benefits
in-sensor
bioinspired
design
transformative
acceleration
SNNs.
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
33(18)
Published: Feb. 22, 2023
Abstract
Neuromorphic
electronics
has
demonstrated
great
promise
in
mimicking
the
sensory
and
memory
functions
of
biological
systems.
However,
synaptic
devices
with
desirable
sensitivity,
selectivity,
operational
voltage
imitating
olfactory
system
have
rarely
been
reported.
Here,
a
flexible
biomimetic
synapse
based
on
an
organic
electrochemical
transistor
(OECT)
coupled
breath‐figure
derived
porous
solid
polymer
electrolyte
(SPE)
is
proposed.
The
device
demonstrates
excellent
sensitivity
ppb‐level
response
limit
selectivity
toward
hydrogen
sulfide
(H
2
S)
over
other
gases,
successfully
achieves
wireless
real‐time
detection
excessive
concentration
H
S
from
rotten
eggs.
S‐mediated
plasticity
accomplished
typical
behaviors
are
realized,
including
short‐term
(STM),
long‐term
(LTM),
transition
STM
to
LTM,
etc.,
enabling
imitation
potential
cumulative
damages
upon
exposure.
proposed
paves
new
ways
next‐generation
systems
capable
sensing
memorizing
functionalities
neurobiological
systems,
offering
critical
materials
strategies
accomplish
intelligent
artificial
Science and Technology of Advanced Materials,
Journal Year:
2023,
Volume and Issue:
24(1)
Published: Feb. 22, 2023
As
the
boom
of
data
storage
and
processing,
brain-inspired
computing
provides
an
effective
approach
to
solve
current
problem.
Various
emerging
materials
devices
have
been
reported
promote
development
neuromorphic
computing.
Thereinto,
device
represented
by
memristor
has
attracted
extensive
research
due
its
outstanding
property
emulate
brain's
functions
from
synaptic
plasticity,
sensory-memory
neurons
some
intelligent
behaviors
living
creatures.
Herein,
we
mainly
review
progress
these
brain
mimicked
devices,
concentrating
on
synapse
(i.e.
various
plasticity
trigger
electricity
and/or
light),
(including
sensory
nervous
system)
(such
as
conditioned
reflex
Pavlov's
dog
experiment).
Finally,
challenges
prospects
related
are
presented.