Oxford University Press eBooks,
Год журнала:
2024,
Номер
unknown, С. 515 - 518
Опубликована: Май 7, 2024
Abstract
This
coda
provides
a
global
conceptual
summary
of
the
data
explosion
last
20
years,
our
expansion
to
meet
this,
idea
that
personality
can
provide
source
unity,
and
role
cognitive
bias
its
interaction
with
disorder-specific
systems
sensitivities.
The
has
necessitated
addition
33
supporting
published
reviews
original
10
Appendices.
Our
involved
inclusion
additive
arousal/attention
circuits
previous
subtractive
decision
ones;
separation
‘reward’
into
gain
attraction
components
(similarly
for
‘punishment’).
theoretical
treatment
is
not
only
expanded
but
intertwined
psychiatric
disorder;
interlinking
neural
approaches
emphasized.
final
conclusion
that,
as
editions,
this
work
in
progress.
Oxford University Press eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 7, 2024
Abstract
The
Neuropsychology
of
Anxiety
first
appeared
in
1982
as
the
volume
Oxford
Psychology
Series,
and
it
quickly
established
itself
classic
work
on
subject.
It
second
edition
(appearing
2000)
have
been
cited
at
a
steadily
increasing
rate
passing
500/year
2017.
field
has
continued
to
expand
last
quarter
century
necessitating
this
third
edition.
This
completely
updated
revised
(with
many
figures
converted
colour)
retains
original
core
concepts
while
expanding
often
simplifying
details.
includes
new
chapter
prefrontal
cortex,
which
integrates
frontal
hippocampal
views
anxiety
an
extensively
modified
personality
providing
basis
for
further
developments
Reinforcement
Sensitivity
Theory.
book
is
essential
postgraduate
students
researchers
experimental
psychology
neuroscience,
well
all
clinical
psychologists
psychiatrists.
Abstract
The
mammalian
hippocampus
contains
a
cognitive
map
that
represents
an
animal’s
position
in
the
environment
1
and
generates
offline
“replay”
2,3
for
purposes
of
recall
4
,
planning
5,6
forming
long
term
memories
7
.
Recently,
it’s
been
found
artificial
neural
networks
trained
to
predict
sensory
inputs
develop
spatially
tuned
cells
8
aligning
with
predictive
theories
hippocampal
function
9–11
However,
whether
learning
can
also
account
ability
produce
replay
is
unknown.
Here,
we
find
spatially-tuned
cells,
which
robustly
emerge
from
all
forms
learning,
do
not
guarantee
presence
generate
replay.
Offline
simulations
only
emerged
used
recurrent
connections
head-direction
information
multi-step
observation
sequences,
promoted
formation
continuous
attractor
reflecting
geometry
environment.
These
trajectories
were
able
show
wake-like
statistics,
autonomously
recently
experienced
locations,
could
be
directed
by
virtual
head
direction
signal.
Further,
make
cyclical
predictions
future
sequences
rapidly
learn
produced
sweeping
representations
positions
reminiscent
theta
sweeps
12
results
demonstrate
how
hippocampal-like
representation
engaged
suggest
reflect
circuit
implements
data-efficient
algorithm
sequential
learning.
Together,
this
framework
provides
unifying
theory
functions
hippocampal-inspired
approaches
intelligence.
Memories
are
dynamic
constructs
whose
properties
change
with
time
and
experience.
The
biological
mechanisms
underpinning
these
dynamics
remain
elusive,
particularly
concerning
how
shifts
in
the
composition
of
memory-encoding
neuronal
ensembles
influence
evolution
a
memory
over
time.
By
targeting
developmentally
distinct
subpopulations
principal
neurons,
we
discovered
that
encoding
resulted
concurrent
establishment
multiple
traces
mouse
hippocampus.
Two
were
instantiated
early-
late-born
neurons
followed
reactivation
trajectories
after
encoding.
divergent
recruitment
underpinned
gradual
reorganization
modulated
persistence
plasticity
across
learning
episodes.
Thus,
our
findings
reveal
profound
intricate
relationships
between
ensemble
progression
memories
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.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Abstract
Schemas
allow
efficient
behavior
in
new
situations,
but
reliance
on
them
can
impair
flexibility
when
demands
conflict,
culminating
psychopathology.
Evidence
implicates
the
orbitofrontal
cortex
(OFC)
deploying
schemas
situations
congruent
with
previously
acquired
knowledge.
But
how
does
this
role
affect
learning
of
a
conflicting
behavioral
schema?
Here
we
addressed
question
by
recording
single-unit
activity
OFC
rats
odor
problems
identical
external
information
orthogonal
rules
governing
reward.
Consistent
schema
formation,
representations
adapted
to
track
underlying
rules,
and
both
performance
encoding
was
faster
subsequent
than
initial
problems.
Surprisingly
however,
rule
reward
changed,
persistent
representation
prior
correlated
acquisition
new.
Thus,
not
source
interference
instead
supported
accurately
independently
representing
old
as
acquired.
Cell Reports,
Год журнала:
2025,
Номер
44(3), С. 115420 - 115420
Опубликована: Март 1, 2025
Highlights•Trajectory-specific
and
generalized
representation
coexist
in
the
mPFC
of
mice•Generalized
classes
show
stable
representations
over
time•Classes
differ
their
contribution
to
encoding
task
features•During
learning,
fewer
neurons
are
observedSummaryNeurons
medial
prefrontal
cortex
(mPFC)
spatially
tuned.
Trajectory-specific
firing
with
distinct
spatial
tuning
on
different
paths
reward
sites
as
well
similar
responses
separate
trajectories
have
been
described.
However,
it
is
unclear
whether
such
populations
contribute
differently
space.
Here,
we
find
coexisting
trajectory-specific
profiles
an
olfaction-guided
memory
mice.
Neurons
within
across
days,
allow
accurate
predictions
animal's
position,
preferentially
emerge
upon
learning.
In
contrast,
cells
display
dynamically
changing
functions,
less
informative
about
current
can
be
identified
at
a
larger
proportion
early
These
results
highlight
role
for
efficient
space.Graphical
abstract