A cellular basis for mapping behavioural structure
Nature,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 6, 2024
Abstract
To
flexibly
adapt
to
new
situations,
our
brains
must
understand
the
regularities
in
world,
as
well
those
own
patterns
of
behaviour.
A
wealth
findings
is
beginning
reveal
algorithms
that
we
use
map
outside
world
1–6
.
However,
biological
complex
structured
behaviours
compose
reach
goals
remain
unknown.
Here
a
neuronal
implementation
an
algorithm
for
mapping
abstract
behavioural
structure
and
transferring
it
scenarios.
We
trained
mice
on
many
tasks
shared
common
(organizing
sequence
goals)
but
differed
specific
goal
locations.
The
discovered
underlying
task
structure,
enabling
zero-shot
inferences
first
trial
tasks.
activity
most
neurons
medial
frontal
cortex
tiled
progress
goal,
akin
how
place
cells
physical
space.
These
‘goal-progress
cells’
generalized,
stretching
compressing
their
tiling
accommodate
different
distances.
By
contrast,
along
overall
was
not
encoded
explicitly.
Instead,
subset
goal-progress
further
tuned
such
individual
fired
with
fixed
lag
from
particular
step.
Together,
these
acted
task-structured
memory
buffers,
implementing
instantaneously
entire
future
steps,
whose
dynamics
automatically
computed
appropriate
action
at
each
mirrored
both
on-task
during
offline
sleep.
Our
suggest
schemata
structures
can
be
generated
by
sculpting
progress-to-goal
tuning
into
buffers
steps.
Язык: Английский
Cognitive neuroscience: How the brain navigates abstract task spaces
Current Biology,
Год журнала:
2025,
Номер
35(2), С. R60 - R62
Опубликована: Янв. 1, 2025
Язык: Английский
Compositional architecture: Orthogonal neural codes for task context and spatial memory in prefrontal cortex
Опубликована: Фев. 26, 2025
The
prefrontal
cortex
(PFC)
is
crucial
for
maintaining
working
memory
across
diverse
cognitive
tasks,
yet
how
it
adapts
to
varying
task
demands
remains
unclear.
Compositional
theories
propose
that
processes
in
neural
network
rely
on
shared
components
can
be
reused
support
different
behaviors.
However,
previous
studies
have
suggested
are
specific,
challenging
this
framework.
Here,
we
revisit
question
using
a
population-based
approach.
We
recorded
activity
macaque
monkeys
performing
two
spatial
tasks
with
opposing
goals:
one
requiring
movement
toward
previously
presented
locations
(look
task)
and
the
other
avoidance
of
those
(no-look
task).
Despite
differences
demands,
found
representations
were
largely
conserved
at
population
level,
common
low-dimensional
subspace
encoding
both
tasks.
In
parallel,
identity
was
encoded
an
orthogonal
subspace,
providing
stable
independent
representation
contextual
information.
These
results
provide
evidence
compositional
model
memory,
where
representational
geometry
enables
efficient
flexible
reuse
mnemonic
codes
behavioral
contexts
while
context.
Язык: Английский
Episodic memory supports the acquisition of structured task representations
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 7, 2024
Abstract
Generalization
to
new
tasks
requires
learning
of
task
representations
that
accurately
reflect
the
similarity
structure
space.
Here,
we
argue
episodic
memory
(EM)
plays
an
essential
role
in
this
process
by
stabilizing
representations,
thereby
supporting
accumulation
structured
knowledge.
We
demonstrate
using
a
neural
network
model
infers
minimize
current
task’s
objective
function;
crucially,
can
retrieve
previously
encoded
from
EM
and
use
these
initialize
inference
process.
With
EM,
succeeds
underlying
structure;
without
drift
fails
learn
structure.
further
show
errors
support
promoting
activation
similar
with
sensory
inputs.
Overall,
provides
novel
account
how
supports
acquisition
representations.
Язык: Английский
Practice Reshapes the Geometry and Dynamics of Task-tailored Representations
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 15, 2024
Extensive
practice
makes
task
performance
more
efficient
and
precise,
leading
to
automaticity.
However,
theories
of
automaticity
differ
on
which
levels
representations
(e.g.,
low-level
features,
stimulus-response
mappings,
or
high-level
conjunctive
memories
individual
events)
change
with
practice,
despite
predicting
the
same
pattern
improvement
power
law
practice).
To
resolve
this
controversy,
we
built
recent
theoretical
advances
in
understanding
computations
through
neural
population
dynamics.
Specifically,
hypothesized
that
optimizes
representational
geometry
minimally
separate
highest-level
contingencies
needed
for
successful
performance.
This
involves
efficiently
reaching
states
integrate
task-critical
features
nonlinearly
while
abstracting
over
non-critical
dimensions.
test
hypothesis,
human
participants
(n
=
40)
engaged
extensive
a
simple,
context-dependent
action
selection
3
days
recording
EEG.
During
initial
rapid
performance,
highest-level,
context-specific
conjunctions
task-features
were
enhanced
as
function
number
episodes.
Crucially,
only
enhancement
these
representations,
not
lower-order
predicted
power-law
Simultaneously,
sessions,
became
stable
earlier
time
aligned,
redundant
correlated
offline
gain
reducing
switch
costs.
Thus,
dynamic
task-tailored
tesselate
space,
taming
their
high-dimensionality.
Язык: Английский
Communication subspace dynamics of the canonical olfactory pathway
iScience,
Год журнала:
2024,
Номер
27(12), С. 111275 - 111275
Опубликована: Окт. 30, 2024
Язык: Английский
Communication subspace dynamics of the canonical olfactory pathway
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 10, 2024
Abstract
Understanding
how
different
brain
areas
communicate
is
crucial
for
elucidating
the
mechanisms
underlying
cognition.
A
possible
way
neural
populations
to
interact
through
a
communication
subspace,
specific
region
in
state-space
enabling
transmission
of
behaviorally-relevant
spiking
patterns.
In
olfactory
system,
it
remains
unclear
if
employ
such
mechanism.
Our
study
reveals
that
neuronal
ensembles
main
pathway
(olfactory
bulb
cortex)
which
driven
by
nasal
respiration
and
allows
feedforward
feedback
occur
segregated
along
sniffing
cycle.
Moreover,
our
results
demonstrate
subspace
depends
causally
on
activity
both
areas,
hindered
during
anesthesia,
transmits
low-dimensional
representation
odor.
Язык: Английский