International Journal of Circuit Theory and Applications,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 15, 2024
ABSTRACT
The
generated
mechanism
of
negative
emotion
involves
the
prefrontal
cortex,
hippocampus,
and
amygdala
in
brain.
Based
on
biological
mechanism,
this
paper
proposes
a
memristive
neural
network
circuit
inhibition
with
self‐repair
memory.
proposed
consists
five
modules:
memory
(hippocampus)
module,
(prefrontal
cortex)
damage
detection
repair
output
(amygdala)
module.
module
does
not
respond
to
small
signal,
but
large
signal
will
cause
form
memories.
If
repeats,
receives
then
generates
an
signal.
When
is
small,
outputs
normally.
applied
for
first
time,
becomes
damaged
abnormal.
As
memristor
has
exceeded
its
threshold,
generate
restore
memristance
after
receiving
again,
from
help
appropriately.
PSPICE
simulation
results
show
that
hippocampus
memories
learning
transmits
them
cortex
inhibits
can
be
robots,
which
flexibly
alter
intensity
expressed
by
robots.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2025,
Volume and Issue:
35(1)
Published: Jan. 1, 2025
Memristors
are
commonly
used
to
introduce
various
chaotic
systems
and
can
be
enhance
their
characteristics.
However,
due
the
strict
construction
conditions
of
Hamiltonian
systems,
there
has
been
limited
research
on
development
memristive
conservative
(MHCCSs).
In
this
work,
a
method
for
constructing
three-terminal
memristors
is
proposed,
incorporated
into
system,
resulting
in
class
n-D
MHCCS.
Based
method,
we
model
4D
MHCCS
as
standard
detailed
dynamic
analysis.
The
analysis
reveals
that
exhibits
complex
behaviors,
including
conservativeness,
symmetry,
chaos
depending
parameters,
extreme
multistability,
under
wide
parameter
range.
shows
not
only
retains
favorable
characteristics
system
but
also
more
nonlinear
dynamics
incorporation
memristors,
thereby
further
enhancing
its
Furthermore,
pseudo-random
number
generator
based
excellent
randomness
terms
NIST
test.
Finally,
physical
realizability
verified
through
Field
Programmable
Gate
Array
experiments.
This
study
demonstrates
constructed
MHCCSs
good
entropy
source
applied
embedded
secure
communication,
cryptographic
generator.
Fractal and Fractional,
Journal Year:
2025,
Volume and Issue:
9(2), P. 115 - 115
Published: Feb. 13, 2025
Memristor-based
fractional-order
chaotic
systems
can
record
information
from
the
past,
present,
and
future,
describe
real
world
more
accurately
than
integer-order
systems.
This
paper
proposes
a
novel
memristor
model
verifies
its
characteristics
through
pinched
loop
(PHL)
method.
Subsequently,
new
memristive
Hopfield
neural
network
(4D-FOMHNN)
is
introduced
to
simulate
induced
current,
accompanied
by
Caputo’s
definition
of
fractional
order.
An
Adomian
decomposition
method
(ADM)
employed
for
system
solution.
By
varying
parameters
order
4D-FOMHNN,
rich
dynamic
behaviors
including
transient
chaos,
coexistence
attractors
are
observed
using
methods
such
as
bifurcation
diagrams
Lyapunov
exponent
analysis.
Finally,
proposed
FOMHNN
implemented
on
field-programmable
gate
array
(FPGA),
oscilloscope
observation
results
consistent
with
MATLAB
numerical
simulation
results,
which
further
validate
theoretical
analysis
provide
basis
application
in
field
encryption.
