COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
Purpose
The
real
production
memristor
devices
produce
a
modeling
challenge
due
to
having
variance
and
henceforth
measured
difference
between
breadboard
made
circuits
LTSPICE
or
MATLAB
simulated
with
classical
models,
resulting
in
variances
owed
existing
models
hardware.
When
new
is
studied,
usually
no
model
provided
it’s
useful
if
there
tool
that
automatically
update
parameters.
purpose
of
this
paper
implement
procedure
takes
data,
approximates
parameters
provides
for
precise
representation
devices.
Design/methodology/approach
optimal
values
level
model’s
coefficients
can
be
estimated
various
by
applying
the
voltage-current
relationship
using
optimization
match
model.
With
graphical
user
interface
(GUI)
environment
select
data
which
used
as
some
are
good
high
frequency
others
low
mid
memristors.
Findings
analyses,
were
performed
LTSPICE,
validate
efficiency
accuracy
proposed
matching
procedure.
analysis
case
utilizes
comparison
very
commonly
standard
modified
models.
Originality/value
A
GUI
parameter
estimation
real-world
memristors
into
simple
parasitic
applied
then
transferred
amplitude-frequency
responses
relations
analyzed
different
frequencies.
Chemical Society Reviews,
Journal Year:
2023,
Volume and Issue:
52(20), P. 7071 - 7136
Published: Jan. 1, 2023
This
review
highlights
the
film
preparation
methods
and
application
advances
in
memory
neuromorphic
electronics
of
porous
crystalline
materials,
involving
MOFs,
COFs,
HOFs,
zeolites.
IEEE Internet of Things Journal,
Journal Year:
2023,
Volume and Issue:
10(18), P. 16332 - 16342
Published: April 18, 2023
The
1-D
and
2-D
emotion
models
realized
by
hardware
circuits
have
been
studied.
However,
3-D
emotional
model
which
is
most
suitable
for
human
has
not
considered.
In
this
article,
a
bionic
circuit
of
space
proposed,
can
generate
brain-like
emotions
according
to
the
information
visual,
speech,
text.
designed
memristor
are
based
on
brain
theory
limbic
system,
including
thalamus,
sensory
cortex,
orbitofrontal
cingulate
gyrus,
amygdala,
other
modules.
Moreover,
perceptual
rational
in
also
article
PAD
composed
three
dimensions:
1)
pleasure
(P);
2)
arousal
(A);
3)
dominance
(D).
Many
be
expressed
using
model.
addition,
applied
mood
congruity,
considers
relationship
between
learning.
may
provide
reference
robot
realize
human–computer
companionship.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(23)
Published: Jan. 3, 2024
Abstract
Real‐time
intrusion
detection
system
based
on
the
von
Neumann
architecture
struggle
to
balance
low
power
consumption
and
high
computing
speed.
In
this
work,
a
strategy
for
network
WO
3–x
/WO
‐Ag/WO
structured
optoelectronic
memristor
overcoming
aforementioned
issues
is
proposed
demonstrated.
Through
modulation
of
electrical
signals,
successfully
simulates
series
important
synaptic
functionalities
including
short‐term/long‐term
plasticity.
Meanwhile,
when
subjected
light
stimulus,
it
demonstrates
remarkable
behaviors
in
terms
long/short‐term
memory
“learning‐forgetting‐relearning.”
Based
array,
convolutional
neural
constructed
recognize
abnormal
records
within
KDDCup‐99
dataset
accurately
efficiently.
The
(10
–6
W)
over
seven
orders
magnitude
lower
than
that
central
processing
unit,
etc.
Subsequently,
an
established
integrate
collection,
processing,
real‐time
data,
classifying
various
types
records.
Hence,
work
expected
promote
development
high‐density
storage
neuromorphic
technology,
provides
application
idea
intelligent
electronic
devices.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(22), P. 12738 - 12843
Published: Nov. 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.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: May 31, 2024
Abstract
Efficient
operation
of
control
systems
in
robotics
or
autonomous
driving
targeting
real-world
navigation
scenarios
requires
perception
methods
that
allow
them
to
understand
and
adapt
unstructured
environments
with
good
accuracy,
adaptation,
generality,
similar
humans.
To
address
this
need,
we
present
a
memristor-based
differential
neuromorphic
computing,
perceptual
signal
processing,
online
adaptation
method
providing
style
external
sensory
stimuli.
The
ability
generality
are
confirmed
two
application
scenarios:
object
grasping
driving.
In
the
former,
robot
hand
realizes
safe
stable
through
fast
(
~
1
ms)
based
on
tactile
features
single
memristor.
latter,
decision-making
information
10
is
extracted
an
accuracy
94%
40×25
memristor
array.
By
mimicking
human
low-level
mechanisms,
electronic
circuit-based
achieves
real-time
high-level
reactions
environments.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(38)
Published: Aug. 1, 2024
Hydrogels
find
widespread
applications
in
biomedicine
because
of
their
outstanding
biocompatibility,
biodegradability,
and
tunable
material
properties.
can
be
chemically
functionalized
or
reinforced
to
respond
physical
chemical
stimulation,
which
opens
up
new
possibilities
the
emerging
field
intelligent
bioelectronics.
Here,
state-of-the-art
functional
hydrogel-based
transistors
memristors
is
reviewed
as
potential
artificial
synapses.
Within
these
systems,
hydrogels
serve
semisolid
dielectric
electrolytes
switching
layers
memristors.
These
synaptic
devices
with
volatile
non-volatile
resistive
show
good
adaptability
external
stimuli
for
short-term
long-term
memory
effects,
some
are
integrated
into
arrays
neurons;
although,
there
discrepancies
performance
efficacy.
By
comparing
different
respective
properties,
an
outlook
provided
on
a
range
biocompatible,
environment-friendly,
sustainable
neuromorphic
hardware.
How
energy-efficient
information
storage
processing
achieved
using
neural
networks
brain-inspired
architecture
computing
described.
The
development
synapses
significantly
impact
fields
bionics,
biometrics,
biosensing.
