Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Dec. 27, 2024
Integrating
spatial
and
temporal
information
is
essential
for
our
sensory
experience.
While
psychophysical
evidence
suggests
dependencies
in
duration
perception,
few
studies
have
directly
tested
the
neural
link
between
processing.
Using
ultra-high-field
functional
MRI
neuronal-based
modeling,
we
investigated
how
where
processing
representation
of
a
visual
stimulus
linked
to
that
its
location.
Our
results
show
transition
coding:
from
monotonic
spatially-dependent
early
cortex
unimodal
spatially-invariant
frontal
cortex.
Along
dorsal
stream,
particularly
intraparietal
sulcus
(IPS),
neuronal
populations
common
selective
responses
both
information.
In
IPS,
topographic
organizations
are
also
linked,
although
maps
smaller,
less
clustered,
more
variable
across
participants.
These
findings
help
identify
mechanisms
underlying
human
perception
characterize
time
space
processing,
highlighting
importance
their
interactions
shaping
brain
responses.
Common
organizational
principles
not
fully
understood.
This
study
shows
coding
brief
events
transforms
along
cortical
hierarchy,
interact
through
representations.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Abstract
Neurons
of
the
primate
ventral
premotor
cortex
(VPC)
respond
to
tactile
or
acoustic
stimuli.
But
how
VPC
neurons
process
and
integrate
information
from
these
two
sensory
modalities
during
perception
remains
unknown.
To
investigate
this,
we
recorded
activity
in
trained
monkeys
performing
a
bimodal
detection
task
(BDT).
In
BDT,
subjects
reported
presence
absence
an
stimulus.
Initial
single-cell
analyses
revealed
diverse
range
responses
BDT:
purely
tactile,
acoustic,
others
that
exhibited
sustained
decision
maintenance
delay—between
stimulus
offset
motor
report.
further
explore
VPC’s
role
applied
dimensionality
reduction
techniques
uncover
low-dimensional
latent
dynamics
neuronal
population
conducted
parallel
on
recurrent
neural
network
(RNN)
model
same
task.
Neural
trajectories
associated
with
diverged
strongly
those
related
responses.
Conversely,
stimulus-absent
trials
remained
at
rest.
During
delay,
demonstrated
pronounced
rotational
dynamic
toward
subspace
orthogonal
response
space,
supporting
memory
stable
equilibria.
This
suggests
can
sustain
distinct
states
corresponding
three
potential
outcomes.
Using
modeling,
propose
universal
dynamical
mechanism
underlying
transition
mnemonic
processing,
consistent
our
experimental
computational
observations.
These
findings
show
contains
capable
coding
its
competing
maintain
decisions
throughout
delay
period,
regardless
modality.
The
aim
of
this
chapter
is
to
give
an
overview
how
the
perception
rhythmic
temporal
regularity
such
as
a
regular
beat
in
music
can
be
studied
human
adults,
newborns,
and
non-human
primates
using
event-related
brain
potentials
(ERPs).
First,
we
discuss
different
aspects
structure
general,
musical
rhythm
particular,
possible
mechanisms
underlying
(e.g.,
beat)
rhythm.
Additionally,
highlight
importance
dissociating
from
other
types
rhythm,
predictable
sequences
intervals,
ordinal
structure,
grouping.
In
second
section
chapter,
start
with
discussion
auditory
ERPs
elicited
by
infrequent
frequent
sounds:
ERP
responses
violations,
mismatch
negativity
(MMN),
N2b,
P3,
well
early
sensory
sounds,
P1
N1,
have
been
shown
instrumental
probing
perception.
Subsequently,
probed
comparing
sounds
irregular
sequences,
metrical
positions
on
off
or
strong
weak
beats.
Finally,
will
previous
research
that
has
used
aforementioned
paradigms
study
primates.
doing
so,
consider
pitfalls
prospects
technique,
future
perspectives.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 28, 2024
Abstract
Time
estimation
is
an
essential
prerequisite
underlying
various
cognitive
functions.
Previous
studies
identified
“sequential
firing”
and
“activity
ramps”
as
the
primary
neuron
activity
patterns
in
medial
frontal
cortex
(mPFC)
that
could
convey
information
regarding
time.
However,
relationship
between
these
timing
behavior
has
not
been
fully
understood.
In
this
study,
we
utilized
vivo
calcium
imaging
of
mPFC
rats
performing
a
task.
We
observed
cells
showed
selective
activation
at
trial
start,
end,
or
during
interval.
By
aligning
long-term
time-lapse
datasets,
discovered
sequential
time
coding
were
stable
over
weeks,
while
for
start
end
constant
dynamism.
Furthermore,
with
novel
design
allowed
animal
to
determine
individual
interval,
able
demonstrate
real-time
adjustment
sequence
procession
speed
closely
tracked
trial-to-trial
interval
variations.
And
errors
rats’
can
be
primarily
attributed
premature
ending
sequence.
Together,
our
data
suggest
maybe
neural
substrate
thatrepresentstime
under
physiological
conditions.Furthermore,
results
imply
existence
unique
cell
type
participates
time-related
sequences.
Future
characterization
provide
important
insights
mechanism
related
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 16, 2024
Abstract
In
humans,
very
few
studies
have
directly
tested
the
link
between
neural
coding
of
time
and
space.
Here
we
combined
ultra-high
field
functional
magnetic
resonance
imaging
with
neuronal-based
modeling
to
investigate
how
where
processing
representation
a
visual
stimulus
duration
is
linked
that
its
spatial
location.
Results
show
transition
in
response
duration:
from
monotonic
spatially-dependent
early
cortex,
unimodal
spatially-invariant
frontal
cortex.
This
begins
extrastriate
areas
V3AB,
it
fully
displays
intraparietal
sulcus
(IPS),
both
responses
are
present
neuronal
populations
selective
either
space,
or
both.
IPS,
space
topographies
specific
relationship,
although
along
cortical
hierarchy
maps
compared
ones
smaller
size,
less
clustered
more
variable
across
participants.
These
results
help
identify
mechanisms
through
which
humans
perceive
object
location
precisely
characterize
processing,
highlighting
importance
space-time
interactions
shaping
brain
responses.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 23, 2024
Summary
The
gustatory
system
enables
our
conscious
perception
of
sweetness,
allowing
us
to
distinguish
sweet
solutions
from
water.
However,
the
neural
mechanisms
underlying
this
categorization
process
in
rats
remain
poorly
understood.
We
addressed
question
by
designing
a
novel
sucrose
task
which
classified
varying
concentrations
against
found
that
anterior
insular
cortex
(aIC)
and
orbitofrontal
(OFC),
activity
primarily
encoded
categorical
distinction
between
water,
rather
than
specific
concentrations.
Notably,
aIC
neurons
faster
OFC
neurons.
Conversely,
slightly
preceded
encoding
choice
information,
although
both
cortices
maintained
parallel
rat’s
choices.
sensory
decisions
was
dynamic
sequential,
forming
sequence
throughout
trial.
These
findings
reveal
relies
on
coding
sequences
neuronal
static,
long-lasting
(sustained)
representations.
This
coding,
supported
single-cell
population
decoding
principal
component
analyses,
suggests
brain
continuously
updates
its
representation
as
new
information
emerges.
Additionally,
rapidly
reward
outcomes.
Our
data
supports
notion
employ
sequential
compute
sensorimotor
transformations,
taste
detection
processing.
Graphical
Abstract
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 26, 2024
Abstract
Despite
music’s
omnipresence,
the
specific
neural
mechanisms
responsible
to
perceive
and
anticipate
temporal
patterns
in
music
are
unknown.
To
study
potential
for
keeping
time
rhythmic
contexts,
we
train
a
biologically
constrained
RNN
on
seven
different
stimulus
tempos
(2
–
8Hz)
synchronization
continuation
task,
standard
experimental
paradigm.
Our
trained
generates
network
oscillator
that
uses
an
input
current
(context
parameter)
control
oscillation
frequency
replicates
key
features
of
dynamics
observed
recordings
monkeys
performing
same
task.
We
develop
reduced
three-variable
rate
model
analyze
its
dynamic
properties.
By
treating
our
understanding
mathematical
structure
oscillations
as
predictive,
confirm
dynamical
found
also
RNN.
neurally
plausible
reveals
E-I
circuit
with
two
distinct
inhibitory
sub-populations,
which
one
is
tightly
synchronized
excitatory
units.
Time
estimation
is
an
essential
prerequisite
underlying
various
cognitive
functions.
Previous
studies
identified
‘sequential
firing’
and
‘activity
ramps’
as
the
primary
neuron
activity
patterns
in
medial
frontal
cortex
(mPFC)
that
could
convey
information
regarding
time.
However,
relationship
between
these
timing
behavior
has
not
been
fully
understood.
In
this
study,
we
utilized
vivo
calcium
imaging
of
mPFC
rats
performing
a
task.
We
observed
cells
showed
selective
activation
at
trial
start,
end,
or
during
interval.
By
aligning
long-term
time-lapse
datasets,
discovered
sequential
time
coding
were
stable
over
weeks,
while
for
start
end
constant
dynamism.
Furthermore,
with
novel
design
allowed
animal
to
determine
individual
interval,
able
demonstrate
real-time
adjustment
sequence
procession
speed
closely
tracked
trial-to-trial
interval
variations.
And
errors
rats’
can
be
primarily
attributed
premature
ending
sequence.
Together,
our
data
suggest
maybe
neural
substrate
represents
under
physiological
conditions.
results
imply
existence
unique
cell
type
participates
time-related
sequences.
Future
characterization
provide
important
insights
mechanism
related
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 24, 2024
Abstract
Despite
music’s
omnipresence,
the
specific
neural
mechanisms
responsible
to
perceive
and
anticipate
temporal
patterns
in
music
are
unknown.
To
study
potential
for
keeping
time
rhythmic
contexts,
we
train
a
biologically
constrained
RNN
on
seven
different
stimulus
tempos
(2–8Hz)
synchronization
continuation
task,
standard
experimental
paradigm.
Our
trained
generates
network
oscillator
that
uses
an
input
current
(context
parameter)
control
oscillation
frequency
replicates
key
features
of
dynamics
observed
recordings
monkeys
performing
same
task.
We
develop
reduced
three-variable
rate
model
analyze
its
dynamic
properties.
By
treating
our
understanding
mathematical
structure
oscillations
as
predictive,
confirm
dynamical
found
also
RNN.
neurally
plausible
reveals
E-I
circuit
with
two
distinct
inhibitory
sub-populations,
which
one
is
tightly
synchronized
excitatory
units.