bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Апрель 24, 2023
Abstract
Real-life
behavioral
tasks
are
often
complex
and
depend
on
abstract
combinations
of
sensory
stimuli
internal
logic.
To
successfully
learn
these
tasks,
animals
must
pair
actions
or
decisions
to
the
task’s
structure.
The
hippocampus
has
been
shown
contain
fields
which
represent
environmental
task
variables,
including
place,
lap,
evidence
accumulation,
etc.
Altogether,
representations
have
hypothesized
form
a
“cognitive
map”
encodes
real-world
structure
underlying
behavior.
However,
it
is
still
unclear
how
biophysical
plasticity
mechanisms
at
single
cell
level
can
lead
population-wide
evolution
task-relevant
maps.
In
this
work
we
present
biophysically
plausible
model
comprised
recurrent
hippocampal
network
an
action
network,
in
latent
representational
co-evolves
with
behavior
task-dependent
manner.
We
demonstrate
that
develops
structures
needed
for
solving
does
not
integrate
do
support
learning.
show
that,
agreement
experimental
data,
cue-dependent
“splitters”
only
be
induced
if
requires
split
representation
solve.
Finally,
our
makes
specific
predictions
biases
result
from
experimentally
testable
representation.
Progress in Neurobiology,
Год журнала:
2024,
Номер
240, С. 102653 - 102653
Опубликована: Июль 2, 2024
We
present
here
a
view
of
the
firing
patterns
hippocampal
cells
that
is
contrary,
both
functionally
and
anatomically,
to
conventional
wisdom.
argue
hippocampus
responds
efference
copies
goals
encoded
elsewhere;
it
uses
these
detect
resolve
conflict
or
interference
between
in
general.
While
can
involve
space,
do
not
encode
spatial
(or
other
special
types
of)
memory,
as
such.
also
transverse
circuits
operate
an
essentially
homogeneous
way
along
its
length.
The
apparently
different
functions
parts
(e.g.
memory
retrieval
versus
anxiety)
result
from
(situational/motivational)
inputs
on
which
those
perform
same
fundamental
computational
operations.
On
this
view,
key
role
iterative
adjustment,
via
Papez-like
circuits,
synaptic
weights
cell
assemblies
elsewhere.
Hippocampus,
Год журнала:
2023,
Номер
33(5), С. 600 - 615
Опубликована: Апрель 15, 2023
Investigations
into
how
individual
neurons
encode
behavioral
variables
of
interest
have
revealed
specific
representations
in
single
neurons,
such
as
place
and
object
cells,
well
a
wide
range
cells
with
conjunctive
encodings
or
mixed
selectivity.
However,
most
experiments
examine
neural
activity
within
tasks,
it
is
currently
unclear
if
change
across
different
task
contexts.
Within
this
discussion,
the
medial
temporal
lobe
particularly
salient,
known
to
be
important
for
multiple
behaviors
including
spatial
navigation
memory,
however
relationship
between
these
functions
unclear.
Here,
investigate
vary
contexts
lobe,
we
collected
analyzed
single-neuron
from
human
participants
they
completed
paired-task
session
consisting
passive-viewing
visual
working
memory
task.
Five
patients
contributed
22
sessions,
which
were
spike
sorted
together
allow
same
putative
compared
tasks.
each
task,
replicated
concept-related
activations
target-location
serial-position
responsive
When
comparing
neuronal
first
established
that
significant
number
maintained
kind
representation,
responding
stimuli
presentations
Further,
found
changed
nature
their
representation
stimulus
responded
serial
position
Overall,
our
results
support
flexible
encoding
multiple,
distinct
aspects
tasks
by
whereby
some
feature
coding
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 6, 2023
ABSTRACT
Cognitive
maps
confer
animals
with
flexible
intelligence
by
representing
spatial,
temporal,
and
abstract
relationships
that
can
be
used
to
shape
thought,
planning,
behavior.
have
been
observed
in
the
hippocampus,
but
their
algorithmic
form
processes
which
they
are
learned
remain
obscure.
Here,
we
employed
large-scale,
longitudinal
two-photon
calcium
imaging
record
activity
from
thousands
of
neurons
CA1
region
hippocampus
while
mice
efficiently
collect
rewards
two
subtly
different
versions
linear
tracks
virtual
reality.
The
results
provide
a
detailed
view
formation
cognitive
map
hippocampus.
Throughout
learning,
both
animal
behavior
hippocampal
neural
progressed
through
multiple
intermediate
stages,
gradually
revealing
improved
task
representation
mirrored
behavioral
efficiency.
learning
process
led
progressive
decorrelations
initially
similar
within
across
tracks,
ultimately
resulting
orthogonalized
representations
resembling
state
machine
capturing
inherent
structure
task.
We
show
Hidden
Markov
Model
(HMM)
biologically
plausible
recurrent
network
trained
using
Hebbian
capture
core
aspects
dynamics
representational
activity.
In
contrast,
gradient-based
sequence
models
such
as
Long
Short-Term
Memory
networks
(LSTMs)
Transformers
do
not
naturally
produce
representations.
further
demonstrate
exhibited
adaptive
novel
settings,
reflecting
deployment
machine.
These
findings
shed
light
on
mathematical
maps,
rules
sculpt
them,
algorithms
promote
animals.
work
thus
charts
course
toward
deeper
understanding
biological
offers
insights
developing
more
robust
artificial
intelligence.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Янв. 23, 2024
To
successfully
learn
real-life
behavioral
tasks,
animals
must
pair
actions
or
decisions
to
the
task's
complex
structure,
which
can
depend
on
abstract
combinations
of
sensory
stimuli
and
internal
logic.
The
hippocampus
is
known
develop
representations
this
forming
a
so-called
"cognitive
map".
However,
precise
biophysical
mechanisms
driving
emergence
task-relevant
maps
at
population
level
remain
unclear.
We
propose
model
in
plateau-based
learning
single
cell
level,
combined
with
reinforcement
an
agent,
leads
latent
representational
structures
codependently
evolving
behavior
task-specific
manner.
In
agreement
recent
experimental
data,
we
show
that
develops
essential
for
task-solving
(cue-dependent
"splitters")
while
excluding
irrelevant
ones.
Finally,
our
makes
testable
predictions
concerning
co-dependent
interactions
between
split
policy
during
their
evolution.
Cell Reports,
Год журнала:
2024,
Номер
43(3), С. 113807 - 113807
Опубликована: Фев. 23, 2024
Hippocampal
principal
neurons
display
both
spatial
tuning
properties
and
memory
features.
Whether
this
distinction
corresponds
to
separate
neuron
types
or
a
context-dependent
continuum
has
been
debated.
We
report
here
that
the
task-context
("splitter")
feature
is
highly
variable
along
trial
position
axes.
Neurons
acquire
lose
splitter
features
across
trials
even
when
place
field
remain
unaltered.
Multiple
fields
of
same
can
individually
encode
past
future
run
trajectories,
implying
are
under
control
assembly
activity.
Place
be
differentiated
into
subfields
by
behavioral
choice
animal,
splitting
within
evolves
trials.
Interneurons
also
differentiate
choices
integrating
inputs
from
pyramidal
cells.
Finally,
bilateral
optogenetic
inactivation
medial
entorhinal
cortex
reversibly
decreases
fraction
fields.
Our
findings
suggest
different
manifestations
hippocampal
computation.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Окт. 16, 2024
The
orbitofrontal
cortex
(OFC)
and
hippocampus
(HC)
both
contribute
to
the
cognitive
maps
that
support
flexible
behavior.
Previously,
we
used
dopamine
neurons
measure
functional
role
of
OFC.
We
recorded
midbrain
as
rats
performed
an
odor-based
choice
task,
in
which
expected
rewards
were
manipulated
across
blocks.
found
ipsilateral
OFC
lesions
degraded
dopaminergic
prediction
errors,
consistent
with
reduced
resolution
task
states.
Here
have
repeated
this
experiment
male
HC
lesions.
results
show
also
shapes
states,
however
unlike
OFC,
provides
information
local
trial,
is
necessary
for
estimating
upper-level
hidden
states
distinguish
contrast
roles
mapping
suggest
access
rich
from
distributed
regions
regarding
environment's
structure,
potentially
enabling
teaching
signal
complex
behaviors.
IntechOpen eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Brain
plasticity
and
behavioral
compensation
after
neurological
injury
offer
promising
clinical
potential
for
targeted
functional
neurorehabilitation.
An
active
area
of
research
in
neurorehabilitation
is
vision
restoration
via
perceptual
learning.
Despite
exciting
success
stories,
rehabilitation
strategies
have
faced
limitations
achieving
longevity
generalization
beyond
the
training
parameters.
In
this
chapter,
we
propose
that
learning
involves
more
than
just
sensory
brain
regions,
suggesting
search
neural
mechanisms
visual
should
expand
system.
We
hypothesize
engaging
cognitive
circuits
with
a
navigation
paradigm
encoding
promotes
system,
key
input
to
brain’s
networks.
Under
hypothesis,
an
integrated
approach
where
systems
are
dynamically
interacting.
Furthermore,
argue
studying
functions
context
necessitates
controlled
omission
experimental
paradigms,
such
studies
implications
designing
effective
rehabilitative
patients
cortical
blindness.
review
animal
on
without
input,
focusing
hippocampal
formation
posterior
parietal
cortex-brain
regions
thought
subserve
spatial
navigation.
Finally,
explore
perceptual-cognitive
tasks
their
hypothetical
address
existing
paradigms.
Overall,
identify
direction
developing
innovative
tools
rehabilitate
function
individuals
Nature Neuroscience,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 14, 2025
Abstract
Both
the
orbitofrontal
cortex
(OFC)
and
hippocampus
(HC)
are
implicated
in
formation
of
cognitive
maps
their
generalization
into
schemas.
However,
how
these
areas
interact
supporting
this
function
remains
unclear,
with
some
proposals
a
serial
model
which
OFC
draws
on
task
representations
created
by
HC
to
extract
key
behavioral
features
others
suggesting
parallel
both
regions
construct
that
highlight
different
types
information.
In
present
study,
we
tested
between
two
models
asking
schema
correlates
rat
would
be
affected
inactivating
output
HC,
after
learning
during
transfer
across
problems.
We
found
prevalence
content
were
unaffected
one
major
area,
ventral
subiculum,
learning,
whereas
inactivation
accelerated
formation.
These
results
favor
proposal
operate
defining
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 21, 2025
Flexible
behavior
requires
both
the
learning
of
new
associations,
and
suppression
previous
ones,
but
how
neural
circuits
achieve
this
balance
remains
unclear.
Here
we
show
that
continuous
changes
in
hippocampal
representations,
known
as
drift,
may
facilitate
process.
We
used
voluntary
head-fixation
calcium
imaging
to
record
from
CA1
rats
during
an
odor-guided
navigation
task
required
frequent
re-learning.
found
systematic
representational
over
course
multi-hour
sessions
were
increased
following
errors.
A
simple
network
model
revealed
such
error-driven
drift
can
enable
flexible
re-learning
by
allowing
associations
form
patterns.
consequence
is
are
maintained
latent
synaptic
weights.
These
findings
reconcile
apparent
tension
between
stable
memory
storage,
demonstrating
dynamic
codes
could
support
lasting
memories.
Neuron,
Год журнала:
2023,
Номер
112(1), С. 124 - 140.e6
Опубликована: Окт. 30, 2023
Progressive
cognitive
decline
in
Alzheimer's
disease
could
either
be
caused
by
a
spreading
molecular
pathology
or
an
initially
focal
that
causes
aberrant
neuronal
activity
larger
network.
To
distinguish
between
these
possibilities,
we
generated
mouse
model
with
expression
of
mutant
human
amyloid
precursor
protein
(APP)
only
hippocampal
CA3
cells.
We
found
performance
hippocampus-dependent
memory
task
was
impaired
young
adult
and
aged
mice.
In
both
age
groups,
then
recorded
from
the
CA1
region,
which
receives
inputs
APP-expressing
observed
theta
oscillation
frequency
reduced
along
disrupted
relative
timing
principal
Highly
localized
limited
to
presynaptic
cells
is
thus
sufficient
cause
firing
patterns
postsynaptic
networks,
indicates
progression
not
but
also
mediated
progressively
advancing
physiological
dysfunction.