bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 28, 2024
Abstract
The
classic
view
of
cortical
circuits
composed
precisely
tuned
neurons
hardly
accounts
for
large-scale
recordings
indicating
that
neuronal
populations
are
heterogeneous
and
exhibit
activity
patterns
evolving
on
low-dimensional
manifolds.
Using
a
modelling
approach,
we
connect
these
two
contrasting
views.
Our
recurrent
spiking
network
models
explicitly
link
the
circuit
structure
with
dynamics
population
activity.
Importantly,
show
different
can
lead
to
equivalent
dynamics.
Nevertheless,
design
method
retrieving
from
test
it
simulated
data.
approach
not
only
unifies
established
collective
dynamics,
but
also
paves
way
identifying
elements
experimental
recordings.
Trends in Cognitive Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Episodic
memory
must
accomplish
two
adversarial
goals:
encoding
and
storing
a
multitude
of
experiences
without
exceeding
the
finite
neuronal
structure
brain,
recalling
memories
in
vivid
detail.
Dimensionality
reduction
expansion
('dimensionality
transformation')
enable
brain
to
meet
these
demands.
Reduction
compresses
sensory
input
into
simplified,
storable
codes,
while
reconstructs
details.
Although
processes
are
essential
memory,
their
neural
mechanisms
for
episodic
remain
unclear.
Drawing
on
recent
insights
from
cognitive
psychology,
systems
neuroscience,
neuroanatomy,
we
propose
accounts
how
dimensionality
transformation
occurs
brain:
structurally
(via
corticohippocampal
pathways)
functionally
(through
oscillations).
By
examining
cross-species
evidence,
highlight
that
may
support
identify
crucial
questions
future
research.
Communications Biology,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 16, 2025
The
prefrontal
cortex
(PFC)
is
vital
for
higher
cognitive
functions
and
displays
neuronal
heterogeneity,
with
activity
varying
significantly
across
individual
neurons.
Using
calcium
imaging
in
the
medial
PFC
(mPFC)
of
mice,
we
investigate
whether
differences
degree
centrality-a
measure
connectivity
strength
within
local
circuits-could
explain
this
diversity
its
functional
implications.
In
young
adults,
neurons
high
centrality,
inferred
from
resting-state
activity,
exhibit
reliable
stable
action-plan
selectivity
during
memory-guided
tasks,
suggesting
that
closely
linked
to
heterogeneity.
This
relationship,
however,
deteriorates
middle-aged
older
mice.
A
computational
model
simulating
age-related
declines
synaptic
plasticity
reproduces
these
results.
centrality
also
predicts
cross-modal
selectivity,
but
predictive
power
diminishes
age.
Furthermore,
are
spatially
clustered,
a
pattern
fades
aging.
These
findings
reveal
significant
aging
impact
on
network
properties
parallel
spatial
organization
mPFC.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(21)
Опубликована: Май 23, 2025
A
recent
study
has
suggested
that
the
stimulus
responses
of
cortical
neural
populations
follow
a
critical
power
law.
More
precisely,
spectrum
covariance
matrix
follows
law
with
an
exponent
indicating
manifold
lies
on
edge
differentiability.
This
criticality
is
hypothesized
to
balance
expressivity
and
robustness
in
encoding,
as
population
nondifferential
fractal
are
thought
be
overly
sensitive
perturbations.
However,
contrary
this
hypothesis,
we
prove
coding
far
more
robust
than
previously
assumed.
We
develop
theoretical
framework
provides
analytical
expression
for
Fisher
information
under
small
noise
assumption.
Our
results
reveal
that,
due
its
intrinsic
high
dimensionality,
maintains
reliability
even
nondifferentiable
manifold,
despite
sensitivity
Furthermore,
theory
reveals
trade-off
between
energetic
cost
makes
power-law
optimal
encoding
sensory
wide
range
conditions.
In
derivation,
highlight
essential
role
correlation,
known
differential
coding.
By
uncovering
nontrivial
nature
high-dimensional
coding,
work
deepens
our
understanding
laws
both
biological
artificial
computation.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 26, 2024
Abstract
High-dimensional
neural
activities
exhibiting
scale-invariant,
power-law
noise
spectra
are
ubiquitously
observed
across
various
brain
regions
and
species.
However,
their
impact
on
information
coding
remains
unclear.
We
provide
the
scaling
conditions
for
covariance
that
clarify
boundedness
of
establish
a
quantitative
relation
between
capacity
population
size,
based
properties
scale-invariant
in
stimulus-evoked
mouse
V1
neurons.
Our
analysis
reveals
sublinearly
small
components
align
sufficiently
with
signal
direction,
enabling
neurons
to
convey
stimulus
unboundedly
as
size
increases.
These
findings
demonstrate
quasi-universal
lays
foundation
understanding
codes,
highlighting
critical
need
consider
full
spectrum
high-dimensional
noise.
Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(10)
Опубликована: Март 7, 2025
Neural
circuits
comprise
multiple
interconnected
regions,
each
with
complex
dynamics.
The
interplay
between
local
and
global
activity
is
thought
to
underlie
computational
flexibility,
yet
the
structure
of
multiregion
neural
its
origins
in
synaptic
connectivity
remain
poorly
understood.
We
investigate
recurrent
networks
containing
neurons
random
structured
connections.
Inspired
by
experimental
evidence
communication
subspaces,
we
use
low-rank
regions
enable
selective
routing.
These
exhibit
high-dimensional
fluctuations
within
low-dimensional
signal
transmission
them.
Using
dynamical
mean-field
theory,
cross-region
currents
as
order
parameters,
show
that
act
both
generators
transmitters
activity-roles
are
often
tension.
Taming
within-region
can
be
crucial
for
effective
Unlike
previous
models
suppressed
control
flow,
our
model
achieves
routing
exciting
different
patterns
through
nonlinear
Our
analysis
this
disordered
system
offers
insights
into
data
trained
networks.
iScience,
Год журнала:
2025,
Номер
28(3), С. 111936 - 111936
Опубликована: Янв. 31, 2025
Neural
dynamics
are
thought
to
reflect
computations
that
relay
and
transform
information
in
the
brain.
Previous
studies
have
identified
neural
population
many
individual
brain
regions
as
a
trajectory
geometry,
preserving
common
computational
motif.
However,
whether
these
populations
share
particular
geometric
patterns
across
brain-wide
remains
unclear.
Here,
by
mapping
widely
temporal/frontal/limbic
cortical
subcortical
structures
of
monkeys,
we
show
10
populations,
including
2,500
neurons,
propagate
visual
item
stochastic
manner.
We
found
inputs
predominantly
evoked
rotational
higher-order
area,
TE,
its
downstream
striatum
tail,
while
curvy/straight
appeared
frequently
orbitofrontal/hippocampal
network.
These
changes
were
not
deterministic
but
rather
according
their
respective
emergence
rates.
Our
meta-analysis
results
indicate
propagates
heterogeneous
mixture
signals
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 2, 2025
Abstract
Recent
advancements
in
genetically
encoded
calcium
indicators,
particularly
those
based
on
green
fluorescent
proteins,
have
optimized
their
performance
for
monitoring
neuronal
activities
a
variety
of
model
organisms.
However,
progress
developing
red-shifted
GECIs,
despite
advantages
over
has
been
slower,
resulting
fewer
options
end-users.
In
this
study,
we
explored
topological
inversion
and
soma-targeting
strategies,
which
are
complementary
to
conventional
mutagenesis,
re-engineer
red
indicator,
FRCaMP,
enhanced
vivo
performance.
The
sensors,
FRCaMPi
soma-targeted
(SomaFRCaMPi),
exhibit
up
2-fold
higher
dynamic
range
peak
ΔF/F
0
per
single
AP
compared
widely
used
jRGECO1a
neurons
culture
.
Compared
FRCaMPi,
SomaFRCaMPi
reduces
erroneous
correlation
activity
the
brains
mice
zebrafish
by
two-
four-fold
due
diminished
neuropil
contamination
without
compromising
signal-to-noise
ratio.
Under
wide-field
imaging
primary
somatosensory
visual
cortex
with
high
labeling
density
(80-90%),
exhibits
40%
SNR
decreased
artifactual
across
neurons.
Altogether,
improves
accuracy
scale
at
single-neuron
resolution
densely
labeled
brain
tissues
2-3-fold
automated
segmentation,
50%
fraction
responsive
cells,
jRGECO1a.
Our
findings
highlight
potential
SomaFRCaMPi,
comparable
most
sensitive
GCaMP,
precise
spatial
recording
populations
using
popular
modalities
organisms
such
as
mice.