bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Фев. 1, 2022
Abstract
How
do
we
build
up
our
knowledge
of
the
world
over
time?
Many
theories
memory
formation
and
consolidation
have
posited
that
hippocampus
stores
new
information,
then
“teaches”
this
information
to
neocortex
time,
especially
during
sleep.
But
it
is
unclear,
mechanistically,
how
actually
works
—
are
these
systems
able
interact
periods
with
virtually
no
environmental
input
accomplish
useful
learning
shifts
in
representation?
We
provide
a
framework
for
thinking
about
question,
neural
network
model
simulations
serving
as
demonstrations.
The
contains
neocortical
areas,
which
replay
memories
one
another
completely
autonomously
simulated
Oscillations
leveraged
support
error-driven
leads
changes
representation
behavior.
has
non-Rapid
Eye
Movement
(NREM)
sleep
stage,
where
dynamics
between
tightly
coupled,
helping
reinstate
high-fidelity
versions
attractors,
REM
more
freely
explore
existing
attractors.
find
alternating
NREM
stages,
alternately
focuses
model’s
on
recent
remote
facilitates
graceful
continual
learning.
thus
an
account
can
without
any
external
drive
cortical
protect
old
integrated.
Oxford University Press eBooks,
Год журнала:
2024,
Номер
unknown, С. 241 - 284
Опубликована: Май 7, 2024
Abstract
‘Fundamentals
of
the
septo-hippocampal
system’
derives
a
range
data
principles
from
an
overview
sept-hippocampal
data.
It
reviews
anxiolytic
action
on
system
and
behaviour;
control
rhythmical
slow
activity
(RSA)/‘theta’
activity;
relationship
to
sensory
processing,
working/active
memory,
conditioning,
emotion.
then
discusses
how
approach
understanding
system,
its
anatomy,
role
in
long-term
memory
via
mismatch
detection.
emphasizes
important
affectively
linked
neuromodulatory
systems
hippocampal
function;
hippocampus
at
least
70
chemical
factors,
including
corticosterone/cortisol.
Its
series
are
solidly
based
available
so
all
theories
should
be
judged
against
them.
While
place
severe
limits
assumptions
machinery
theory,
they
not
sufficient
provide
theory
themselves.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Дек. 13, 2022
Abstract
Systems
consolidation
theories
posit
that
occurs
primarily
through
a
coordinated
communication
between
hippocampus
and
neocortex
(McClelland
O’Reilly
1995;
Kumaran
et
al.,
2016;
Moscovitch
Gilboa,
2022).
Recent
sleep
studies
in
rodents
have
shown
visual
cortex
replay
the
same
information
at
temporal
proximity
(“co-replay”)
(Ji
&
Wilson,
2007;
Lansink
2009;
Wierzynski
Peyrache
2009).
We
developed
novel
TR-based
co-reactivation
(TRCR)
analysis
method
to
study
hippocampal-cortical
co-replays
humans
using
functional
MRI.
Thirty-six
young
adults
completed
an
image
(face
or
scene)-location
paired
associate
encoding
task
scanner,
which
were
preceded
followed
by
resting
state
scans.
identified
post-encoding
rest
TRs
(+/−
1)
showed
neural
reactivation
of
each
image-location
trials
both
(HPC)
category-selective
(fusiform
face
area,
FFA).
This
allowed
us
characterize
temporally
proximal
reactivations
(“co-reactivations”)
HPC
FFA.
Moreover,
we
found
increased
HPC-FFA
co-reactivations
associated
with
incorrectly
recognized
after
1-week
delay
(
p
=
0.004).
Finally,
these
also
initially
correctly
immediately
but
later
forgotten
1-day
0.043)
period
0.031).
discuss
results
from
trace
transformation
perspective
(Winocur
Moscovitch,
2011;
Sekeres
2018)
speculate
may
be
integrating
related
events,
expense
disrupting
event-specific
details,
hence
leading
forgetting.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Фев. 1, 2022
Abstract
How
do
we
build
up
our
knowledge
of
the
world
over
time?
Many
theories
memory
formation
and
consolidation
have
posited
that
hippocampus
stores
new
information,
then
“teaches”
this
information
to
neocortex
time,
especially
during
sleep.
But
it
is
unclear,
mechanistically,
how
actually
works
—
are
these
systems
able
interact
periods
with
virtually
no
environmental
input
accomplish
useful
learning
shifts
in
representation?
We
provide
a
framework
for
thinking
about
question,
neural
network
model
simulations
serving
as
demonstrations.
The
contains
neocortical
areas,
which
replay
memories
one
another
completely
autonomously
simulated
Oscillations
leveraged
support
error-driven
leads
changes
representation
behavior.
has
non-Rapid
Eye
Movement
(NREM)
sleep
stage,
where
dynamics
between
tightly
coupled,
helping
reinstate
high-fidelity
versions
attractors,
REM
more
freely
explore
existing
attractors.
find
alternating
NREM
stages,
alternately
focuses
model’s
on
recent
remote
facilitates
graceful
continual
learning.
thus
an
account
can
without
any
external
drive
cortical
protect
old
integrated.
