bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 22, 2024
Abstract
Complex
neural
systems
can
display
structured
emergent
dynamics.
Capturing
this
structure
remains
a
significant
scientific
challenge.
Using
information
theory,
we
apply
Dynamical
Independence
(DI)
to
uncover
the
dynamical
in
minimal
5-node
biophysical
model,
shaped
by
interplay
of
two
key
aspects
brain
organisation:
integration
and
segregation.
In
our
study,
functional
within
model
is
modulated
global
coupling
parameter,
while
segregation
influenced
adding
noise,
which
counteracts
coupling.
DI
defines
dimensionally-reduced
macroscopic
variable
(e.g.,
coarse-graining)
as
extent
that
it
behaves
an
independent
process,
distinct
from
micro-level
We
measure
dependence
(a
departure
independence)
for
variables
across
spatial
scales.
Our
results
indicate
degree
emergence
relatively
minimised
at
balanced
points
maximised
extremes.
Additionally,
method
identifies
dynamics
are
localised
microlevel
nodes,
thereby
elucidating
through
relationship
between
microscopic
processes.
find
deviation
point
less
localised,
more
distributed
identified
DI.
This
finding
suggests
balance
associated
with
lower
levels
(higher
dependence),
may
be
crucial
sustaining
coherent,
structures.
work
also
provides
complete
computational
implementation
identification
could
applied
both
silico
vivo.
Author
summary
Understanding
how
complex
give
rise
patterns
central
challenge
neuroscience.
Emergence,
where
structures
appear
underlying
interactions,
plays
role
function,
yet
identifying
specific
involved
elusive.
Traditionally,
methods
have
quantified
but
struggled
pinpoint
itself.
develop
method,
based
on
quantity
called
(DI),
simultaneously
captures
reveals
neurophysiological
data.
explore
segregation—two
organisational
principles
brain—affects
show
finely
system
produces
highly
coherent
structures,
extreme
deviations
lead
distributed,
framework
theoretical
models
potentially
empirical
data,
advancing
understanding
brain’s
organisation
higher-order
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 27, 2024
Abstract
Brain
recordings
collected
at
different
resolutions
support
statistically
distinct
signatures
of
information
processing,
leading
to
scale-dependent
theories
brain
function.
Here,
we
demonstrate
that
these
disparate
neural-coding
emerge
from
the
same
multiscale
functional
organisation
neuronal
activity
across
calcium-imaging
whole
brains
zebrafish
and
nematode,
as
well
sensory
regions
fly,
mouse,
macaque
brain.
Network
simulations
show
hierarchical-modular
structural
connectivity
facilitates
coordination,
enhancing
processing
benefits
such
a
maximal
dynamic
range.
Finally,
this
cross-scale
supports
behavioural
states
species
by
reconfiguring
affiliation
temporal
dynamics
mesoscale.
Our
findings
suggest
self-similar
scaling
is
universal
principle
reconciles
function,
facilitating
both
efficiency
resiliency
while
enabling
significant
reconfiguration
mesoscale
cellular
ensembles
accommodate
demands.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Sept. 9, 2024
Research
into
the
role
of
thalamocortical
circuits
in
anesthesia-induced
unconsciousness
is
difficult
due
to
anatomical
and
functional
complexity.
Prior
neuroimaging
studies
have
examined
either
thalamus
as
a
whole
or
focused
on
specific
subregions,
overlooking
distinct
neuronal
subtypes
like
core
matrix
cells.
We
conducted
study
heathy
volunteers
magnetic
resonance
imaging
during
conscious
baseline,
deep
sedation,
recovery.
advanced
gradient
mapping
technique
delineate
geometry
circuits,
within
framework
unimodal-transmodal
axis
cortex.
Here
we
show
significant
shift
this
marked
by
transmodal-deficient
geometry.
This
alteration
closely
linked
spatial
variations
cell
composition
thalamus.
research
bridges
cellular
systems-level
understanding,
highlighting
crucial
thalamic
core-matrix
architecture
understanding
neural
mechanisms
states
consciousness.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Feb. 22, 2022
Abstract
A
growing
body
of
evidence
suggests
that
conscious
perception
a
sensory
stimulus
coincides
with
all-or-none
activity
across
multiple
cortical
areas,
phenomenon
called
‘ignition’.
In
contrast,
the
same
stimulus,
when
undetected,
induces
only
transient
activity.
this
work,
we
report
large-scale
model
macaque
cortex
based
on
recently
quantified
structural
mesoscopic
connectome
data.
We
use
to
simulate
detection
task,
and
demonstrate
how
dynamical
bifurcation
mechanism
produces
ignition-like
events
in
network.
The
predicts
feedforward
excitatory
transmission
is
primarily
mediated
by
fast
AMPA
receptors
ensure
rapid
signal
propagation
from
associative
areas.
greater
proportion
inter-areal
feedback
projections
local
recurrent
excitation
depend
slow
NMDA
receptors,
ignition
distributed
frontoparietal
Our
predicts,
counterintuitively,
fast-responding
areas
contain
higher
ratio
compared
association
show
slow,
sustained
validate
prediction
using
cortex-wide
in-vitro
receptor
autoradiography
Finally,
can
account
for
various
behavioral
physiological
effects
linked
consciousness.
Together,
these
findings
clarify
neurophysiological
mechanisms
access
primate
support
concept
gradients
densities
along
hierarchy
contribute
cognitive
functions.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 15, 2023
Abstract
Models
of
perceptual
awareness
often
lack
tractable
neurobiological
constraints.
Inspired
by
recent
cellular
recordings
in
a
mouse
model
tactile
threshold
detection,
we
constructed
biophysical
that
incorporated
essential
features
thalamocortical
anatomy
and
physiology.
Our
reproduced,
mechanistically
explains,
the
key
vivo
neural
behavioural
signatures
model,
as
well
response
to
set
causal
perturbations.
We
generalised
same
(with
identical
parameters)
visual
rivalry
found
thalamic-mediated
mechanism
determined
dominance.
This
led
generation
novel,
directly
testable,
electrophysiological
predictions.
Analyses
based
on
dynamical
systems
theory
showed
simulations
both
detection
arises
from
emergent
systems-level
dynamics
loops.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 20, 2024
Abstract
Many
anesthetics
cause
loss
of
responsiveness
despite
having
diverse
underlying
molecular
and
circuit
actions.
To
explore
the
convergent
effects
these
drugs,
we
examined
how
anesthetic
doses
ketamine
dexmedetomidine
affected
oscillations
in
prefrontal
cortex
nonhuman
primates.
Both
caused
increases
phase
locking
ventrolateral
dorsolateral
cortex,
within
across
hemispheres.
However,
nature
varied.
Activity
different
subregions
a
hemisphere
became
more
anti-phase
with
both
drugs.
Local
analyses
region
suggested
that
this
finding
could
be
explained
by
broad
cortical
distance-based
effects,
such
as
large
traveling
waves.
By
contrast,
homologous
areas
hemispheres
in-phase.
Our
results
suggest
induce
strong
patterns
alignment
are
markedly
from
those
awake
state,
may
common
feature
driving
Journal of Neuroscience,
Journal Year:
2024,
Volume and Issue:
44(35), P. e0909242024 - e0909242024
Published: Aug. 28, 2024
The
cerebral
cortex
contains
multiple,
distinct
areas
that
individually
perform
specific
computations.
A
particular
strength
of
the
is
communication
signals
between
cortical
allows
outputs
these
compartmentalized
computations
to
influence
and
build
on
each
other,
thereby
dramatically
increasing
processing
power
its
role
in
sensation,
action,
cognition.
Determining
how
communicates
individual
is,
therefore,
critical
for
understanding
function.
Historically,
corticocortical
was
thought
occur
exclusively
by
direct
anatomical
connections
often
sequentially
linked
a
hierarchical
fashion.
More
recently,
anatomical,
physiological,
behavioral
evidence
accumulating
indicating
higher-order
thalamus
communication.
Specifically,
transthalamic
pathway
involves
projections
from
one
area
neurons
that,
turn,
project
another
cortex.
Here,
we
consider
implications
having
two
routes
with
an
emphasis
unique
available
consequences
disorders
diseases
affect
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 21, 2023
Abstract
Visual
object-based
attention
marks
a
key
process
of
mammalian
perception.
By
which
mechanisms
this
is
implemented
and
how
it
can
be
interacted
with
by
means
attentional
control
not
completely
understood
yet.
Incremental
binding
mechanism
required
in
more
demanding
scenarios
likewise
experimentally
investigated
quite
well.
Attention
spreads
across
representation
the
visual
object
labels
bound
elements
constant
up-modulation
neural
activity.
The
speed
incremental
was
found
to
dependent
on
spatial
arrangement
distracting
scene
scale
invariant
giving
rise
growth-cone
hypothesis.
In
work,
we
propose
dynamical
model
that
provides
mechanistic
account
for
these
findings.
Through
simulations,
investigate
properties
demonstrate
an
spreading
tags
neurons
participate
process.
They
utilize
Gestalt
eventually
show
characteristics
labeling
perceptual
items
delayed
activity
enhancement
neuronal
firing
rates.
We
discuss
algorithmic
underlying
relate
model’s
computation.
This
theoretical
investigation
encompasses
complexity
considerations
finds
only
explanatory
value
terms
neurohpysiological
evidence,
but
also
efficient
implementation
striving
establish
normative
account.
relating
connectivity
motifs
neuroanatomical
suggest
thalamo-cortical
interactions
likely
candidate
flexible
realization
suggested
model.
There,
pyramidal
cells
are
proposed
serve
as
processors
grouping
information.
Local
bottom-up
evidence
about
stimulus
features
integrated
via
basal
dendritic
sites.
It
combined
apical
signal
consisting
contextual
information
gated
task-relevance
selection
mediated
higher-order
thalamic
representations.
Author
Summary
Understanding
requires
us
tell
apart
objects
from
one
another.
Object-based
mammals
achieve
this.
Mental
processing
components
determines
whether
they
compatible
overall
and,
thus,
should
grouped
together
perceived
whole
or
not.
For
complicated
objects,
needs
happen
serially,
determining
compatibility
step
step.
try
answer
question
might
brain.
test
case
elongated
lines
compare
available
experimental
evidence.
additionally
explains
does
so
spending
connections
efficiently
—
property
desirable
brains
machines.
Together,
findings
brain
areas
involved
realizing
reason
Summary.
How
is
conscious
experience
related
to
material
brain
processes?
A
variety
of
theories
aiming
answer
this
age-old
question
have
emerged
from
the
recent
surge
in
consciousness
research,
and
some
are
now
hotly
debated.
While
most
researchers
so
far
focused
on
development
validation
their
preferred
theory
relative
isolation,
article,
written
by
a
group
scientists
representing
different
theories,
takes
an
alternative
approach.
Noting
that
various
often
try
explain
aspects
or
mechanistic
levels
consciousness,
we
argue
do
not
necessarily
contradict
each
other.
Instead,
several
them
may
converge
fundamental
neuronal
mechanisms
be
partly
compatible
complementary,
multiple
can
simultaneously
contribute
our
understanding.
Here
consider
unifying,
integration-oriented
approaches
been
largely
neglected,
seeking
combine
valuable
elements
theories.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 15, 2024
Recurrent
neural
networks
exhibit
chaotic
dynamics
when
the
variance
in
their
connection
strengths
exceed
a
critical
value.
Recent
work
indicates
also
modulates
learning
strategies;
learn
"rich"
representations
initialized
with
low
coupling
and
"lazier"
solutions
larger
variance.
Using
Watts-Strogatz
of
varying
sparsity,
structure,
hidden
weight
variance,
we
find
that
strength
dividing
from
ordered
differentiates
rich
lazy
strategies.
Training
moves
both
stable
closer
to
edge
chaos,
richer
before
transition
chaos.
In
contrast,
biologically
realistic
connectivity
structures
foster
stability
over
wide
range
variances.
The
chaos
is
reflected
measure
clinically
discriminates
levels
consciousness,
perturbational
complexity
index
(PCIst).
Networks
high
values
PCIst
learning,
suggesting
consciousness
prior
may
promote
learning.
results
suggest
clear
relationship
between
dynamics,
regimes
complexity-based
measures
consciousness.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
The
neural
basis
of
conscious
perception
remains
incompletely
understood.
While
cortical
mechanisms
content
have
been
extensively
investigated,
the
role
subcortical
structures,
including
thalamus,
less
explored.
We
aim
to
elucidate
causal
contributions
different
thalamic
regions
using
transcranial
low-intensity
focused
ultrasound
(LIFU)
neuromodulation.
hypothesize
that
modulating
would
result
in
distinct
perceptual
outcomes.
apply
LIFU
human
volunteers
investigate
region-specific
and
sonication
parameter-dependent
effects.
target
anterior
(transmodal-dominant)
posterior
(unimodal-dominant)
regions,
further
divided
into
ventral
dorsal
while
participants
perform
a
near-threshold
visual
task.
Task
performance
is
evaluated
Signal
Detection
Theory
metrics.
find
high
duty
cycle
stimulation
thalamus
enhanced
object
recognition
sensitivity.
also
observe
general
(i.e.,
region-independent)
effect
on
decision
bias
tendency
toward
particular
response)
categorization
accuracy.
Specifically,
decreases
accuracy,
whereas
low
shifts
towards
more
conservative
stance.
In
conclusion,
our
results
provide
insight
functional
organization
shaping
experience
highlight
unique
transmodal-dominant
thalamus.