The
basolateral
amygdala
(BLA)
is
a
key
site
where
fear
learning
takes
place
through
synaptic
plasticity.
Rodent
research
shows
prominent
low
theta
(∼3-6
Hz),
high
(∼6-12
and
gamma
(>30
Hz)
rhythms
in
the
BLA
local
field
potential
recordings.
However,
it
not
understood
what
role
these
play
supporting
Here,
we
create
biophysically
detailed
model
of
circuit
to
show
that
several
classes
interneurons
(PV,
SOM,
VIP)
can
be
critically
involved
producing
rhythms;
promote
formation
dedicated
shaped
spike-timing-dependent
Each
class
necessary
for
We
find
rhythm
biomarker
successful
conditioning.
makes
use
commonly
found
cortex
and,
hence,
may
apply
wide
variety
associative
situations.
An
organism’s
survival
depends
on
its
ability
to
anticipate
forthcoming
events
and
detect
discrepancies
between
the
expected
actual
sensory
inputs.
We
analyzed
data
from
mice
performing
a
visual
go/no-go
change-detection
task
where
sequence
of
stimulus
presentations
was
intermittently
interrupted
by
omission
stimulus.
The
did
not
elicit
discernable
spiking
responses
in
cortical
neurons.
Instead,
firing
rates
image
presentations,
including
period,
ramped
linearly
without
interruption
at
time
omitted
image.
Several
neuron
types
cortex
neurons
were
identified
with
various
images
their
omissions.
A
minority
cells
nonvisual
areas,
hippocampus,
increased
onset
even
when
these
respond
images.
Our
study
elucidates
origin
sheds
light
role
hippocampal
subcortical
circuits
detection.
Cell Reports,
Год журнала:
2024,
Номер
43(9), С. 114763 - 114763
Опубликована: Сен. 1, 2024
Recent
studies
have
found
dramatic
cell-type-specific
responses
to
stimulus
novelty,
highlighting
the
importance
of
analyzing
cortical
circuitry
at
this
granularity
understand
brain
function.
Although
initial
work
characterized
activity
by
cell
type,
alterations
in
due
interacting
novelty
effects
remain
unclear.
We
investigated
circuit
mechanisms
underlying
observed
neural
dynamics
response
novel
stimuli
using
a
large-scale
public
dataset
electrophysiological
recordings
behaving
mice
and
population
network
model.
The
model
was
constrained
multi-patch
synaptic
physiology
electron
microscopy
data.
generally
weaker
connections
under
stimuli,
with
shifts
balance
between
somatostatin
(SST)
vasoactive
intestinal
polypeptide
(VIP)
populations
increased
excitatory
influences
on
parvalbumin
(PV)
SST
populations.
These
findings
systematically
characterize
how
circuits
adapt
novelty.
The
basolateral
amygdala
(BLA)
is
a
key
site
where
fear
learning
takes
place
through
synaptic
plasticity.
Rodent
research
shows
prominent
low
theta
(~3–6
Hz),
high
(~6–12
and
gamma
(>30
Hz)
rhythms
in
the
BLA
local
field
potential
recordings.
However,
it
not
understood
what
role
these
play
supporting
Here,
we
create
biophysically
detailed
model
of
circuit
to
show
that
several
classes
interneurons
(PV,
SOM,
VIP)
can
be
critically
involved
producing
rhythms;
promote
formation
dedicated
shaped
spike-timing-dependent
Each
class
necessary
for
We
find
rhythm
biomarker
successful
conditioning.
makes
use
commonly
found
cortex
and,
hence,
may
apply
wide
variety
associative
situations.
The
basolateral
amygdala
(BLA)
is
a
key
site
where
fear
learning
takes
place
through
synaptic
plasticity.
Rodent
research
shows
prominent
low
theta
(~3–6
Hz),
high
(~6–12
and
gamma
(>30
Hz)
rhythms
in
the
BLA
local
field
potential
recordings.
However,
it
not
understood
what
role
these
play
supporting
Here,
we
create
biophysically
detailed
model
of
circuit
to
show
that
several
classes
interneurons
(PV,
SOM,
VIP)
can
be
critically
involved
producing
rhythms;
promote
formation
dedicated
shaped
spike-timing-dependent
Each
class
necessary
for
We
find
rhythm
biomarker
successful
conditioning.
makes
use
commonly
found
cortex
and,
hence,
may
apply
wide
variety
associative
situations.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Апрель 28, 2023
Abstract
The
basolateral
amygdala
(BLA)
is
a
key
site
where
fear
learning
takes
place
through
synaptic
plasticity.
Rodent
research
shows
prominent
low
theta
(∼3-6
Hz),
high
(∼6-12
and
gamma
(>30
Hz)
rhythms
in
the
BLA
local
field
potential
recordings.
However,
it
not
understood
what
role
these
play
supporting
Here,
we
create
biophysically
detailed
model
of
circuit
to
show
that
several
classes
interneurons
(PV,
SOM,
VIP)
can
be
critically
involved
producing
rhythms;
promote
formation
dedicated
shaped
spike-timing-dependent
Each
class
necessary
for
We
find
rhythm
biomarker
successful
conditioning.
makes
use
commonly
found
cortex
and,
hence,
may
apply
wide
variety
associative
situations.
Significance
Our
paper
accounts
experimental
evidence
showing
amygdalar
exist,
suggests
network
origins
rhythms,
points
their
central
mechanisms
plasticity
learning.
It
one
few
papers
address
high-order
cognition
with
models,
which
are
sometimes
thought
too
adequately
constrained.
provides
template
how
information
about
brain
constrain
biophysical
models.
detail,
first
time,
multiple
help
provide
time
scales
some
kinds
(STDP).
spells
out
conditions
under
such
interactions
between
needed
STDP
why.
Finally,
our
work
helps
framework
by
discrepancies
literature
might
reevaluated.
In
particular,
discuss
issues
Hebbian
learning;
context
neuromodulation
resolve
those
issues.
addresses
more
general
than
since
based
on
cortex,
as
well
amygdala.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 5, 2024
ABSTRACT
To
gain
insights
into
neural
mechanisms
enabling
behavioral
adaptations
to
complex
and
multidimensional
environmental
dynamics,
we
examined
roles
of
VIP
neurons
in
mouse
medial
prefrontal
cortex
(mPFC)
probabilistic
reversal
learning.
Behaviorally,
manipulating
neuronal
activity
left
classical
conditioning
unaffected
but
severely
impaired
Physiologically,
conditioned
cue-associated
responses
changed
abruptly
after
encountering
an
unexpected
reward.
They
also
conveyed
strong
reward
prediction
error
signals
during
reversal,
not
before
or
after,
unlike
pyramidal
which
consistently
throughout
all
phases.
Furthermore,
the
signal’s
persistence
across
trials
correlated
with
learning
duration.
These
results
suggest
that
mPFC
play
crucial
rapid
learning,
incremental
cue-outcome
association
by
monitoring
significant
deviations
from
ongoing
contingency
imposing
error-correction
adjustments.
findings
shed
light
on
intricate
cortical
circuit
dynamics
underpinning
flexibility
complex,
multifaceted
environments.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 1, 2024
Abstract
Sensory
perception
naturally
requires
processing
stimuli
from
both
sides
of
the
body.
Yet,
how
neurons
bind
stimulus
features
across
hemispheres
to
create
a
unified
perceptual
experience
remains
unknown.
To
address
this
question,
we
performed
large-scale
recordings
in
somatosensory
cortices
(S1)
while
mice
shared
information
between
their
and
discriminated
two
categories
bilateral
stimuli.
When
expert
touched
associated
with
reward,
they
moved
whiskers
greater
symmetry.
During
period,
synchronous
spiking
enhanced
spike-field
coupling
emerged
hemispheres.
This
coordinated
activity
was
absent
stimulus-matched
naïve
animals,
indicating
that
interhemispheric
(IH)
binding
controlled
by
goal-directed,
internal
process.
In
S1
neurons,
addition
ipsilateral
touch
primarily
facilitated
contralateral,
principal
whisker
response.
facilitation
for
reward-associated
lost
on
trials
where
failed
respond.
Taken
together,
these
results
reveal
novel
state-dependent
logic
underlying
integration
S1,
are
behavioral
relevance.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 6, 2024
Abstract
To
gain
insights
into
neural
mechanisms
enabling
behavioral
adaptations
to
complex
and
multidimensional
environmental
dynamics,
we
examined
roles
of
VIP
neurons
in
mouse
medial
prefrontal
cortex
(mPFC)
probabilistic
reversal
learning.
Behaviorally,
manipulating
neuronal
activity
left
classical
conditioning
unaffected
but
severely
impaired
Physiologically,
conditioned
cue-associated
responses
changed
abruptly
after
encountering
an
unexpected
reward.
They
also
conveyed
strong
reward
prediction
error
signals
during
reversal,
not
before
or
after,
unlike
pyramidal
which
consistently
throughout
all
phases.
Furthermore,
the
signal’s
persistence
across
trials
correlated
with
learning
duration.
These
results
suggest
that
mPFC
play
crucial
rapid
learning,
incremental
cue-outcome
association
by
monitoring
significant
deviations
from
ongoing
contingency
imposing
error-correction
adjustments.
findings
shed
light
on
intricate
cortical
circuit
dynamics
underpinning
flexibility
complex,
multifaceted
environments.
