Journal of Neuroscience Research,
Journal Year:
2020,
Volume and Issue:
98(6), P. 1046 - 1069
Published: Feb. 13, 2020
Abstract
The
striatal
dopamine
system
has
long
been
studied
in
the
context
of
reward
learning,
motivation,
and
movement.
Given
prominent
role
plays
a
variety
adaptive
behavioral
states,
as
well
diseases
like
addiction,
it
is
essential
to
understand
full
complexity
neurons
systems
they
target.
A
growing
number
studies
are
uncovering
details
heterogeneity
neuron
subpopulations.
Here,
we
review
that
work
synthesize
current
understanding
across
three
levels,
anatomical
organization,
functions
behavior,
modes
action,
wherein
focus
on
signaling
profiles
local
mechanisms
for
modulation
release.
Together,
these
reveal
new
emerging
dimensions
system,
informing
its
contribution
dynamic
motivational
decision‐making
processes.
Neuron,
Journal Year:
2018,
Volume and Issue:
98(2), P. 256 - 281
Published: April 1, 2018
Tremendous
progress
has
been
made
since
Neuron
published
our
Primer
on
genetic
dissection
of
neural
circuits
10
years
ago.
Since
then,
cell-type-specific
anatomical,
neurophysiological,
and
perturbation
studies
have
carried
out
in
a
multitude
invertebrate
vertebrate
organisms,
linking
neurons
to
behavioral
functions.
New
methods
allow
systematic
classification
cell
types
provide
access
diverse
neuronal
for
connectivity
coding
during
behavior.
Here
we
evaluate
key
advances
over
the
past
decade
discuss
future
directions.
Annual Review of Neuroscience,
Journal Year:
2017,
Volume and Issue:
40(1), P. 373 - 394
Published: April 25, 2017
Dopamine
neurons
facilitate
learning
by
calculating
reward
prediction
error,
or
the
difference
between
expected
and
actual
reward.
Despite
two
decades
of
research,
it
remains
unclear
how
dopamine
make
this
calculation.
Here
we
review
studies
that
tackle
problem
from
a
diverse
set
approaches,
anatomy
to
electrophysiology
computational
modeling
behavior.
Several
patterns
emerge
synthesis:
themselves
calculate
rather
than
inherit
passively
upstream
regions;
they
combine
multiple
separate
redundant
inputs,
which
are
interconnected
in
dense
recurrent
network;
despite
complexity
output
is
remarkably
homogeneous
robust.
The
more
study
simple
arithmetic
computation,
knottier
appears
be,
suggesting
daunting
(but
stimulating)
path
ahead
for
neuroscience
generally.
Physiological Reviews,
Journal Year:
2020,
Volume and Issue:
101(2), P. 611 - 681
Published: Sept. 24, 2020
This
article
reviews
the
behavioral
neuroscience
of
extinction,
phenomenon
in
which
a
behavior
that
has
been
acquired
through
Pavlovian
or
instrumental
(operant)
learning
decreases
strength
when
outcome
reinforced
it
is
removed.
Behavioral
research
indicates
neither
nor
operant
extinction
depends
substantially
on
erasure
original
but
instead
new
inhibitory
primarily
expressed
context
learned,
as
exemplified
by
renewal
effect.
Although
nature
inhibition
may
differ
and
either
case
decline
responding
depend
both
generalization
decrement
correction
prediction
error.
At
neural
level,
requires
tripartite
circuit
involving
amygdala,
prefrontal
cortex,
hippocampus.
Synaptic
plasticity
amygdala
essential
for
learning,
cortical
neurons
encoding
fear
memories
involved
retrieval.
Hippocampal-prefrontal
circuits
mediate
relapse
phenomena,
including
renewal.
Instrumental
involves
distinct
ensembles
corticostriatal,
striatopallidal,
striatohypothalamic
well
their
thalamic
returns
(extinction)
excitatory
(renewal
other
phenomena)
control
over
responding.
The
field
made
significant
progress
recent
decades,
although
fully
integrated
biobehavioral
understanding
still
awaits.
Frontiers in Neuroscience,
Journal Year:
2016,
Volume and Issue:
10
Published: Nov. 7, 2016
To
ensure
survival,
animals
must
update
the
internal
representations
of
their
environment
in
a
trial-and-error
fashion.
Psychological
studies
associative
learning
and
neurophysiological
analyses
dopaminergic
neurons
have
suggested
that
this
updating
process
involves
temporal-difference
(TD)
method
basal
ganglia
network.
However,
way
which
component
variables
TD
are
implemented
at
neuronal
level
is
unclear.
investigate
underlying
neural
mechanisms,
we
trained
domestic
chicks
to
associate
color
cues
with
food
rewards.
We
recorded
activities
from
medial
striatum
or
tegmentum
freely
behaving
condition
examined
how
reward
omission
changed
firing.
compare
signals
assumed
method,
simulated
behavioral
task
form
finite
sequence
composed
discrete
steps
time.
The
three
were
prediction
signal,
target
signal
for
updating,
TD-error
signal.
In
both
tegmentum,
majority
categorized
into
types
according
fitness
models,
though
these
tended
continuum
spectrum
without
distinct
differences
firing
rate.
Specifically,
two
striatal
successfully
mimicked
A
linear
summation
was
good
fit
activity
one
type
tegmental
mimicking
present
study
thus
demonstrates
can
convey
critically
required
method.
Based
on
theoretical
studies,
together
tract-tracing
data,
propose
novel
model
explain
convergence
represented
could
lead
computation
error
neurons.
Journal of Neuroscience,
Journal Year:
2019,
Volume and Issue:
39(42), P. 8239 - 8249
Published: Oct. 16, 2019
The
locus
coeruleus
(LC)
is
a
seemingly
singular
and
compact
neuromodulatory
nucleus
that
prominent
component
of
disparate
theories
brain
function
due
to
its
broad
noradrenergic
projections
throughout
the
CNS.
As
diffuse
system,
noradrenaline
affects
learning
decision
making,
control
sleep
wakefulness,
sensory
salience
including
pain,
physiology
correlated
forebrain
activity
(ensembles
networks)
hemodynamic
responses.
However,
our
understanding
LC
undergoing
dramatic
shift
application
state-of-the-art
methods
reveal
many
modules
provide
targeted
neuromodulation.
Here,
we
review
evidence
supporting
modular
based
on
multiple
levels
observation
(developmental,
genetic,
molecular,
anatomical,
neurophysiological).
We
suggest
concept
as
and,
alongside
it,
role
in
diverse
must
be
reconsidered.