Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 7, 2023
Abstract
The
origin
of
brain
complexity
remains
an
open
question
within
the
field
neuroscience.
Although
acknowledged
significance
synaptic
stimuli,
their
efficacy
frequently
proves
inadequate
in
explaining
both
profound
intricacies
and
refined
levels
cognitive
integration.
Recent
investigations
neuroscience
have
cast
doubt
on
mechanisms
by
which
generates
highly
complex,
intricate
dynamics,
emergent
patterns,
sophisticated
oscillation
signals.
In
this
interesting
context,
our
study,
line
with
contemporary
research,
postulates
hypothesis
that
ephaptic
communication
may
emerge
as
prime
candidate
to
elucidate
neuronal
complexity.
present
research
carried
out
a
comparative
analysis
between
two
types
networks
using
Quadratic
Integrate-and-Fire-Ephaptic
model:
(I)
small-world
network
(II)
mixed
composite
comprising
augmented
network.
We
employ
Multiscale
Scale
Entropy
approach
examine
responses
networks,
estimated
summing
across
all
temporal
scales.
outcomes
clarify
coupling
amplifies
under
specific
conditions,
taking
into
account
variables
such
timescale
intensity.
These
results
provide
new
insights
balance
nervous
system
communications
underscore
fundamental
role
ephapticity
orchestrating
complex
functions.
Consequently,
significantly
contributes
advancing
deeper
understanding
intricate,
dynamics
inherent
activities.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 29, 2024
The
brain
is
understood
as
an
intricate
biological
system
composed
of
numerous
elements.
It
susceptible
to
various
physical
and
chemical
influences,
including
temperature.
literature
extensively
explores
the
conditions
that
influence
synapses
in
context
cellular
communication.
However,
understanding
how
brain's
global
can
modulate
ephaptic
communication
remains
limited
due
poorly
nature
ephapticity.
This
study
proposes
adaptation
Hodgkin
Huxley
(HH)
model
investigate
effects
entrainment
response
thermal
changes
(HH-E).
analysis
focuses
on
two
distinct
neuronal
regimes:
subthreshold
suprathreshold.
In
regime,
circular
statistics
are
used
demonstrate
dependence
phase
differences
with
suprathreshold
Inter-Spike
Interval
employed
estimate
preferences
spiking
pattern.
Temperature
influences
model's
interactions
modify
its
for
frequency,
direction
this
change
depending
specific
temperature
range
under
consideration.
Furthermore,
enhance
anti-phase
relationship
between
spikes
external
signal.
also
influenced
by
temperature,
especially
at
low
frequencies.
reveals
susceptibility
variations
both
regimes
discusses
importance
contexts
where
may
plays
a
significant
role
neural
physiology,
such
inflammatory
processes,
fever,
epileptic
seizures.
European Journal of Neuroscience,
Journal Year:
2025,
Volume and Issue:
61(1)
Published: Jan. 1, 2025
ABSTRACT
Previous
research
demonstrated
that
transcranial
alternating
current
stimulation
(tACS)
can
induce
phosphene
perception.
However,
tACS
involves
rhythmic
changes
in
the
electric
field
and
polarity
(excitatory
vs.
inhibitory
phases),
leaving
precise
mechanism
behind
perception
unclear.
To
disentangle
effects
of
from
those
polarity,
this
study
employs
oscillatory
direct
(otDCS),
which
oscillation
remains
confined
to
either
a
positive
or
negative
thereby
eliminating
influence
switching.
We
applied
scalp
electrical
stimulations
using
both
polarity‐switching
non‐polarity‐switching
(otDCS)
methods,
with
anodal
cathodal
polarities,
targeting
occipital
lobe.
All
were
performed
sinusoidal
amplitude
modulation
(AM)
waveforms
at
threshold
suprathreshold
intensities.
Our
results
show
faster
response
times
compared
otDCS,
but
not
while
otDCS
elicits
greater
brightness
than
tACS.
Additionally,
AM
frequency
induced
higher
frequency,
slower
condition
across
all
positive,
negative,
stimulations.
intensity
could
speed
ratings,
unlike
conditions.
findings
reveal
phosphenes,
significant
differences
between
polarities
types,
indicating
mechanisms
are
critical
induction.
This
provides
evidence
linking
occurrence
activity
highlights
robustness
impact
coding
visual
Frontiers in Human Neuroscience,
Journal Year:
2024,
Volume and Issue:
18
Published: April 26, 2024
Empirical
evidence
indicates
that
conscious
states,
distinguished
by
the
presence
of
phenomenal
qualities,
are
closely
linked
to
synchronized
neural
activity
patterns
whose
dynamical
characteristics
can
be
attributed
self-organized
criticality
and
phase
transitions.
These
findings
imply
insight
into
mechanism
which
brain
controls
transitions
will
provide
a
deeper
understanding
fundamental
manages
transcend
threshold
consciousness.
This
article
aims
show
initiation
formation
is
due
coupling
zero-point
field
(ZPF),
plays
central
role
in
quantum
electrodynamics
(QED).
The
ZPF
stands
for
ubiquitous
vacuum
fluctuations
electromagnetic
field,
represented
spectrum
normal
modes.
With
reference
QED-based
model
calculations,
details
revealed,
suggesting
critical
dynamics
governed
resonant
interaction
with
most
abundant
neurotransmitter
glutamate.
pyramidal
neurons
cortical
microcolumns
turn
out
ideally
suited
control
this
interaction.
A
direct
consequence
glutamate-ZPF
amplification
specific
modes,
leads
us
conclude
key
consciousness
distinctive
feature
neurophysiological
processes
associated
experience
consists
modulating
ZPF.
Postulating
an
inherently
sentient
assuming
qualities
modes
ZPF,
significance
states
becomes
apparent
inextricably
excitation
qualities.
theory
consciousness,
according
arise
through
given
acronym
TRAZE.
An
experimental
setup
specified
used
test
corollary
theory,
namely,
prediction
normally
occurring
perceptions
absent
under
conditions
disrupted.
Symmetry,
Journal Year:
2023,
Volume and Issue:
15(12), P. 2184 - 2184
Published: Dec. 11, 2023
We
discuss
the
asymmetries
of
dynamical
origin
that
are
relevant
to
functional
brain
activity.
The
is
permanently
open
its
environment,
and
dissipative
dynamics
characterized
indeed
by
under
time
translation
transformations
time-reversal
transformations,
which
manifest
themselves
in
irreversible
“arrow
time”.
Another
asymmetry
arises
from
breakdown
rotational
symmetry
molecular
electric
dipoles,
triggered
incoming
stimuli,
manifests
long-range
dipole-dipole
correlations
favoring
neuronal
correlations.
In
model,
neurons,
glial
cells,
other
biological
components
classical
structures.
dipole
vibrational
fields
quantum
variables.
review
field
theory
model
proposed
Ricciardi
Umezawa
subsequent
extension
dynamics.
then
show
Bayes’
theorem
probability
intrinsic
structure
states
strict
relation
with
entanglement
phenomena
free
energy
minimization.
estimates
action
a
higher
Bayes
be
taken
produce
aimed
effect.
rule
provides
formal
basis
intentionality
activity,
we
also
mind
consciousness.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 3, 2024
Abstract
The
brain
is
understood
as
an
intricate
biological
system
composed
of
multiple
elements.
It
susceptible
to
diverse
physical
and
chemical
influences,
including
temperature.
literature
widely
explores
the
conditions
that
affect
synapses
in
context
cellular
communications.
However,
understanding
how
global
can
modulate
ephaptic
communication
remains
limited,
because
still
poorly
nature
ephapticity.
This
study
proposes
adaptation
Hodgkin
Huxley
model,
HH-E,
investigate
effects
entrainment
response
thermal
changes.
analysis
focus
on
two
distinct
neuronal
regimes:
subthreshold
suprathreshold.
In
regime,
circular
statistic
used
show
phase
differences
dependence
suprathreshold
Population
Vector
Inter-Spike
Interval
are
estimate
preferences
changes
spiking
pattern.
Temperature
affects
positively
HH-E
model
frequency.
At
high
temperatures
collapses
no
more
observed.
Moreover,
temperature
difference
improves
anti-phase
between
spikes
external
signal.
influenced
by
temperature,
specially
at
low
frequencies.
Finally,
this
reveals
susceptibility
variations
both
regimes
discusses
importance
pathological
contexts
which
play
important
role
neural
physiology,
such
inflammatory
processes,
fever
epileptic
seizures.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 25, 2024
Abstract
The
inquiry
into
the
origin
of
brain
complexity
remains
a
pivotal
question
in
neuroscience.
While
synaptic
stimuli
are
acknowledged
as
significant,
their
efficacy
often
falls
short
elucidating
extensive
interconnections
and
nuanced
levels
cognitive
integration.
Recent
advances
neuroscience
have
brought
mechanisms
underlying
generation
highly
intricate
dynamics,
emergent
patterns,
sophisticated
oscillatory
signals
question.
Within
this
context,
our
study,
alignment
with
current
research,
posits
hypothesis
that
ephaptic
communication
may
emerge
primary
candidate
for
unraveling
optimal
complexity.
In
investigation,
we
conducted
comparative
analysis
between
two
types
networks
utilizing
Quadratic
Integrate-and-Fire
Ephaptic
model
(QIF-E):
(I)
small-world
network
(ephaptic-off)
(II)
mixed
composite
comprising
addition
an
(ephaptic-on).
Utilizing
Multiscale
Entropy
methodology,
in-depth
responses
generated
by
both
configurations,
assessed
integrating
across
all
temporal
scales.
Our
findings
demonstrate
coupling
enhances
under
specific
topological
conditions,
considering
variables
such
time,
spatial
scales,
intensity.
These
results
offer
fresh
insights
dynamics
within
nervous
system
underscore
fundamental
role
ephapticity
regulating
complex
functions.
The
future
of
humanity
and
the
environment
are
intertwined.
Our
collective
growth
shapes
disrupts
environmental
systems
at
planetary-scale.
We
pursue
increasingly
technological
futures,
while
warning
need
to
repair
natural
biosphere
that
sustain
us.
Facing
globally
interconnected
challenges,
scientific
approaches
guide
our
decision-making
have
never
been
more
important
for
informing
future.
Physicalist
(physical-only),
reductionistic
worldviews,
which
strive
eliminate
subjectivity,
provide
conceptual
framing
mainstream
views
purport
completely
frame
describe
biological
life.
However,
we
observe
ample
case
studies
from
biology,
ecology,
human
health,
animal
behavior,
other
life
sciences
where
course
events
shaped
by
intrinsic
cognitive
subjective
assessments
benefits
drawbacks.
It
is
argued
such
perceptions,
adaptive
goal-directed
behaviors,
represent
an
overlooked
non-material
facet
or
dimension,
linked
bioelectric
read/write/compute
capacity,
critical
organism-,
ecosystem-,
biosphere-scales.
Entropy,
Journal Year:
2024,
Volume and Issue:
26(9), P. 761 - 761
Published: Sept. 5, 2024
Integrated
Information
Theory
(IIT)
is
one
of
the
most
prominent
candidates
for
a
theory
consciousness,
although
it
has
received
much
criticism
trying
to
live
up
expectations.
Based
on
relevance
three
issues
generalized
from
developments
IITs,
we
have
summarized
main
ideas
IIT
into
two
levels.
At
second
level,
claims
be
strictly
anchoring
but
first
level
which
based
more
about
autonomous
systems
or
that
reached
some
other
critical
complexity.
In
this
paper,
argue
clear
gap
between
levels
explanation
led
these
criticisms
and
its
panpsychist
tendency
plays
crucial
role
in
this.
We
suggest
problems
are
far
being
"pseudoscience",
by
adding
necessary
elements,
when
combined
with
can
genuinely
move
toward
an
appropriate
consciousness
provide
sufficient
interpretations.