The
relation
between
neural
activity
and
behaviorally
relevant
variables
is
at
the
heart
of
neuroscience
research.
When
strong,
this
termed
a
representation.
There
increasing
evidence,
however,
for
partial
dissociations
in
an
area
external
variables.
While
many
explanations
have
been
proposed,
theoretical
framework
relationship
internal
lacking.
Here,
we
utilize
recurrent
networks
(RNNs)
to
explore
question
when
how
dynamics
network’s
output
are
related
from
geometrical
point
view.
We
find
that
training
RNNs
can
lead
two
dynamical
regimes:
either
be
aligned
with
directions
generate
variables,
or
oblique
them.
show
choice
readout
weight
magnitude
before
serve
as
control
knob
regimes,
similar
recent
findings
feedforward
networks.
These
regimes
functionally
distinct.
Oblique
more
heterogeneous
suppress
noise
their
directions.
They
furthermore
robust
perturbations
along
Crucially,
regime
specific
(but
not
feedforward)
networks,
arising
stability
considerations.
Finally,
tendencies
toward
dissociated
recordings.
Altogether,
our
results
open
new
perspective
interpreting
by
relating
network
output.
Cell,
Journal Year:
2024,
Volume and Issue:
187(3), P. 676 - 691.e16
Published: Feb. 1, 2024
Behavior
relies
on
activity
in
structured
neural
circuits
that
are
distributed
across
the
brain,
but
most
experiments
probe
neurons
a
single
area
at
time.
Using
multiple
Neuropixels
probes,
we
recorded
from
multi-regional
loops
connected
to
anterior
lateral
motor
cortex
(ALM),
circuit
node
mediating
memory-guided
directional
licking.
Neurons
encoding
sensory
stimuli,
choices,
and
actions
were
brain.
However,
choice
coding
was
concentrated
ALM
subcortical
areas
receiving
input
an
ALM-dependent
manner.
Diverse
orofacial
movements
encoded
hindbrain;
midbrain;
and,
lesser
extent,
forebrain.
Choice
signals
first
detected
midbrain,
followed
by
thalamus
other
brain
areas.
At
movement
initiation,
choice-selective
collapsed
new
patterns
driving
specific
actions.
Our
provide
foundation
for
models
of
decision-making
initiation.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 23, 2023
Abstract
Understanding
how
brain
activity
is
related
to
animal
behavior
requires
measuring
multi-area
interactions
on
multiple
timescales.
However,
methods
perform
chronic,
simultaneous
recordings
of
neural
from
many
areas
are
lacking.
Here,
we
introduce
a
novel
approach
for
independent
chronic
probe
implantation
that
enables
flexible,
interrogation
regions
during
head
restrained
or
freely
moving
behavior.
The
approach,
called
indie
(
in
dependent
d
ovetail
implants
e
lectrophysiology),
repeated
retrieval
and
reimplantation
probes.
can
be
combined
with
other
modalities
such
as
skull
clearing
cortex
wide
access
optogenetics
optic
fibers.
Using
this
implanted
6
probes
chronically
one
hemisphere
the
mouse
brain.
implant
lightweight,
allows
flexible
targeting
different
angles,
offers
enhanced
stability.
Our
broadens
applications
recording
while
retaining
its
main
advantages
over
acute
(superior
stability,
longitudinal
monitoring
interrogations)
provides
an
appealing
venue
study
processes
not
accessible
by
methods,
substrate
learning
across
areas.
Tracking
net
body
movement
in
real
time
may
enable
the
brain
to
estimate
ongoing
demands
and
thus
better
orchestrate
muscle
tone,
energy
balance,
arousal.
To
identify
neural
populations
specializing
tracking
movement,
here
we
compared
self-initiated
movement-related
activity
across
genetically-defined
subcortical
neurons
mouse
brain,
including
dopaminergic,
glutamatergic,
noradrenergic,
key
peptidergic
neurons.
We
show
that
hypothalamic
orexin/hypocretin-producing
(HONs)
are
exceptionally
precise
movement-trackers,
encoding
multiple
classified
behaviors
with
a
high
degree
of
precision,
independent
head
acceleration.
This
was
so
precise,
video
analysis
reliably
served
as
low-cost
biometric
for
HON
population
activity.
The
internal
nutritional
states,
occurred
communication
bandwidth
distinct
from
blood
glucose.
At
projection
targets,
orexin/hypocretin
peptide
outputs
correlated
projection-specific
manner,
indicating
functional
heterogeneity
outputs.
Finally,
found
not
encoded
same
extent
other
related
arousal
or
energy.
These
findings
indicate
orchestrators
metabolism
finely
tuned
encode
constituting
bridge
multiplexing
motor
resources.
Tracking
net
body
movement
in
real
time
may
enable
the
brain
to
estimate
ongoing
demands
and
thus
better
orchestrate
muscle
tone,
energy
balance,
arousal.
To
identify
neural
populations
specializing
tracking
movement,
here
we
compared
self-initiated
movement-related
activity
across
genetically-defined
subcortical
neurons
mouse
brain,
including
dopaminergic,
glutamatergic,
noradrenergic,
key
peptidergic
neurons.
We
show
that
hypothalamic
orexin/hypocretin-producing
(HONs)
are
exceptionally
precise
movement-trackers,
encoding
multiple
classified
behaviors
with
a
high
degree
of
precision,
independent
head
acceleration.
This
was
so
precise,
video
analysis
reliably
served
as
low-cost
biometric
for
HON
population
activity.
The
internal
nutritional
states,
occurred
communication
bandwidth
distinct
from
blood
glucose.
At
projection
targets,
orexin/hypocretin
peptide
outputs
correlated
projection-specific
manner,
indicating
functional
heterogeneity
outputs.
Finally,
found
not
encoded
same
extent
other
related
arousal
or
energy.
These
findings
indicate
orchestrators
metabolism
finely
tuned
encode
constituting
bridge
multiplexing
motor
resources.
The
flow
of
neural
activity
across
the
neocortex
during
active
sensory
discrimination
is
constrained
by
task-specific
cognitive
demands,
movements,
and
internal
states.
During
behavior,
brain
appears
to
sample
from
a
broad
repertoire
activation
motifs.
Understanding
how
these
patterns
local
global
are
selected
in
relation
both
spontaneous
task-dependent
behavior
requires
in-depth
study
densely
sampled
at
single
neuron
resolution
large
regions
cortex.
In
significant
advance
toward
this
goal,
we
developed
procedures
record
mesoscale
2-photon
Ca2+
imaging
data
two
novel
vivo
preparations
that,
between
them,
allow
for
simultaneous
access
nearly
all
0f
mouse
dorsal
lateral
neocortex.
As
proof
principle,
aligned
with
behavioral
primitives
high-level
motifs
reveal
existence
populations
neurons
that
coordinated
their
cortical
areas
changes
movement
and/or
arousal.
methods
detail
here
facilitate
identification
exploration
widespread,
spatially
heterogeneous
ensembles
whose
related
diverse
aspects
behavior.
The
relation
between
neural
activity
and
behaviorally
relevant
variables
is
at
the
heart
of
neuroscience
research.
When
strong,
this
termed
a
representation.
There
increasing
evidence,
however,
for
partial
dissociations
in
an
area
external
variables.
While
many
explanations
have
been
proposed,
theoretical
framework
relationship
internal
lacking.
Here,
we
utilize
recurrent
networks
(RNNs)
to
explore
question
when
how
dynamics
network’s
output
are
related
from
geometrical
point
view.
We
find
that
training
RNNs
can
lead
two
dynamical
regimes:
either
be
aligned
with
directions
generate
variables,
or
oblique
them.
show
choice
readout
weight
magnitude
before
serve
as
control
knob
regimes,
similar
recent
findings
feedforward
networks.
These
regimes
functionally
distinct.
Oblique
more
heterogeneous
suppress
noise
their
directions.
They
furthermore
robust
perturbations
along
Crucially,
regime
specific
(but
not
feedforward)
networks,
arising
stability
considerations.
Finally,
tendencies
toward
dissociated
recordings.
Altogether,
our
results
open
new
perspective
interpreting
by
relating
network
output.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 24, 2023
The
cognitive
processes
supporting
complex
animal
behavior
are
closely
associated
with
ubiquitous
movements
responsible
for
our
posture,
facial
expressions,
ability
to
actively
sample
sensory
environments,
and
other
critical
processes.
These
strongly
related
neural
activity
across
much
of
the
brain
often
highly
correlated
ongoing
processes,
making
it
challenging
dissociate
dynamics
that
support
from
those
movements.
In
such
cases,
a
issue
is
whether
separable
movements,
or
if
they
driven
by
common
mechanisms.
Here,
we
demonstrate
how
separability
motor
can
be
assessed,
and,
when
separable,
each
component
isolated.
We
establish
novel
two-context
behavioral
task
in
mice
involves
multiple
show
commonly
observed
taken
contaminated
When
components
isolated
using
approach
subspace
decomposition,
find
exhibit
distinct
dynamical
trajectories.
Further,
properly
accounting
movement
revealed
largely
separate
populations
cells
encode
variables,
contrast
"mixed
selectivity"
reported.
Accurately
isolating
particular
will
essential
developing
conceptual
computational
models
circuit
function
evaluating
cell
types
which
circuits
composed.
The
flow
of
neural
activity
across
the
neocortex
during
active
sensory
discrimination
is
constrained
by
task-specific
cognitive
demands,
movements,
and
internal
states.
During
behavior,
brain
appears
to
sample
from
a
broad
repertoire
activation
motifs.
Understanding
how
these
patterns
local
global
are
selected
in
relation
both
spontaneous
task-dependent
behavior
requires
in-depth
study
densely
sampled
at
single
neuron
resolution
large
regions
cortex.
In
significant
advance
toward
this
goal,
we
developed
procedures
record
mesoscale
2-photon
Ca
2+
imaging
data
two
novel
vivo
preparations
that,
between
them,
allow
simultaneous
access
nearly
all
mouse
dorsal
lateral
neocortex.
As
proof
principle,
aligned
with
behavioral
primitives
high-level
motifs
reveal
existence
populations
neurons
that
coordinated
their
cortical
areas
changes
movement
and/or
arousal.
methods
detail
here
facilitate
identification
exploration
widespread,
spatially
heterogeneous
ensembles
whose
related
diverse
aspects
behavior.