ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Neuromorphic
electronic
devices
mimicking
the
structure
and
functionality
of
biological
counterparts
have
shown
promising
applications
in
biorealistic
computing
bioelectronic
interfaces.
However,
current
neuromorphic
systems
comprising
synapses
neurons
typically
exhibit
complex
integrated
structures
lack
chemically
mediated
characteristics,
hindering
them
from
direct
biointerfacing.
Here,
we
report
a
compact
artificial
synapse-neuron
module
(ASNM)
by
seamlessly
integrating
an
organic
electrochemical
synaptic
transistor
niobium
dioxide
Mott
memristor,
showing
plasticity
highly
stable
spiking
characteristics
(>1010
cycles).
Sodium
ions
dopamine
neurotransmitter
induce
short-term
long-term
transistors,
respectively,
thus
enabling
temporary
modulation
ASNM's
firing
frequency
bioplausible
range
(0–100
Hz).
Furthermore,
construct
neuromuscular
system
based
on
ASNM,
which
could
replicate
learning
processes
shooting
basketball.
These
results
demonstrate
that
our
ASNM
achieve
multiple
functionalities
including
sensing,
plasticity,
structure,
providing
way
for
SrFeOx
(SFO)
offers
a
topotactic
phase
transformation
between
an
insulating
brownmillerite
SrFeO2.5
(BM-SFO)
and
conductive
perovskite
SrFeO3
(PV-SFO)
phase,
making
it
competitive
candidate
for
use
in
resistive
memory
neuromorphic
computing.
However,
most
of
existing
SFO-based
memristors
are
nonvolatile
devices
which
struggle
to
achieve
short-term
synaptic
plasticity
(STP).
To
address
this
issue
realize
STP,
we
propose
leverage
ferroelectric
polarization
effectively
draw
ions
across
the
interface
so
that
PV-SFO
filaments
(CFs)
can
be
ruptured
absence
external
field.
As
proof
concept,
fabricate
Pb(Zr0.2Ti0.8)O3
(PZT)/BM-SFO
bilayer
films
with
Au
top
electrodes
SrRuO3
bottom
electrodes.
The
device
exhibits
desired
volatile
switching
behavior,
its
low
resistance
state
decaying
over
time.
Such
volatility
is
attributed
positive
charge
near
PZT/SFO
interface,
attract
oxygen
from
SFO
PZT
hence
lead
rupture
CFs.
Moreover,
successfully
emulates
STP-related
functions,
including
excitatory
postsynaptic
current,
paired-pulse
facilitation,
learning-experience
associative
learning,
reservoir
Our
study
showcases
effective
method
achieving
may
applied
various
systems
beyond
memristors.
Artificial
synapses,
basic
units
of
neuromorphic
hardware,
have
been
studied
to
emulate
synaptic
dynamics,
which
are
beneficial
for
realizing
high-quality
neural
networks.
Currently,
two-dimensional
(2D)
material
heterojunction
structures
widely
used
in
the
study
artificial
synapses;
however,
their
dynamic
weight-updating
characteristics
restricted
owing
high
nonlinearity
and
low
symmetricity.
In
this
study,
we
treated
h-BN
with
oxygen
plasma
form
a
charge-trapping
layer
(CTL),
prepared
2D
ReS2/CTL/h-BN
synapses.
The
device
achieves
large
memory
window
excellent
performance
simulates
adaptive
behavior
human
eye
through
synergistic
modulation
optoelectronic
double
pulse.
mechanism
effect
trap
states
CTL
on
was
analyzed,
further
optimized.
long-term
potentiation/depression
(LTP/D)
characteristic
device,
reduced
0.63
symmetricity
reached
41.25,
is
superior
most
similar
devices
reported
date.
Therefore,
research
provides
insights
into
improving
LTP/D
devices.
Science Advances,
Journal Year:
2025,
Volume and Issue:
11(11)
Published: March 14, 2025
Manipulating
the
ionic-electronic
coupling
in
organic
electrochemical
transistors
(OECTs)
offers
opportunities
for
interesting
phenomena
and
advanced
applications
but
has
not
been
systematically
exploited.
Here,
we
develop
monolithically
integrated
solid-state
vertical
OECTs
to
fully
explore
polyelectrolyte’s
strengths,
enabling
switch
between
neuromorphic
logic
functions.
This
transition
capability
is
achieved
by
mastering
complex
transport
of
large-size
polycations
within
channel
through
well-designed
drain
electrodes.
Frame
drains
positioned
atop
act
as
ion
barriers,
regulating
penetration
relaxation
polycations.
regulation
allows
our
multilevel
synaptic
transform
from
short-term
depression
(STD)
STD-based
long-term
memory,
eventually
(LTD).
Conversely,
placing
frame
beneath
exposes
polyelectrolyte
fully,
hence
yielding
high-density
OECTs,
which
have
successfully
used
construct
unipolar
circuits
such
NOT,
NAND,
NOR
gates.
These
achievements
represent
a
substantial
advancement
manipulating
polyelectrolyte-based
interactions,
introducing
more
possibilities
beyond
small
ion-based
OECTs.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Neuromorphic
electronic
devices
mimicking
the
structure
and
functionality
of
biological
counterparts
have
shown
promising
applications
in
biorealistic
computing
bioelectronic
interfaces.
However,
current
neuromorphic
systems
comprising
synapses
neurons
typically
exhibit
complex
integrated
structures
lack
chemically
mediated
characteristics,
hindering
them
from
direct
biointerfacing.
Here,
we
report
a
compact
artificial
synapse-neuron
module
(ASNM)
by
seamlessly
integrating
an
organic
electrochemical
synaptic
transistor
niobium
dioxide
Mott
memristor,
showing
plasticity
highly
stable
spiking
characteristics
(>1010
cycles).
Sodium
ions
dopamine
neurotransmitter
induce
short-term
long-term
transistors,
respectively,
thus
enabling
temporary
modulation
ASNM's
firing
frequency
bioplausible
range
(0–100
Hz).
Furthermore,
construct
neuromuscular
system
based
on
ASNM,
which
could
replicate
learning
processes
shooting
basketball.
These
results
demonstrate
that
our
ASNM
achieve
multiple
functionalities
including
sensing,
plasticity,
structure,
providing
way
for
