Journal of Neuroscience,
Journal Year:
2017,
Volume and Issue:
37(18), P. 4647 - 4657
Published: May 3, 2017
In
1904,
Richard
Semon
introduced
the
term
"engram"
to
describe
neural
substrate
responsible
for
(or
at
least
important
in)
storing
and
recalling
memories
(i.e.,
a
memory
trace).
The
recent
introduction
of
vast
array
powerful
new
tools
probe
manipulate
function
cell
neuronal
circuit
level
has
spurred
an
explosion
interest
in
studying
engram.
However,
present
"engram
renaissance"
was
not
borne
isolation
but
rather
builds
on
long
tradition
research.
We
believe
it
is
acknowledge
debts
our
current
generation
scientists
owes
those
who
have
offered
key
ideas,
persevered
through
failed
experiments
made
discoveries
before
us.
Examining
past
can
also
offer
fresh
perspective
state
future
promise
field.
Given
large
amount
empirical
advances
years,
seems
particularly
timely
look
back
review
seminal
terminology,
concepts,
methodological
approaches,
initial
data
pertaining
engrams.
Rather
than
simply
list
their
many
accomplishments,
here
we
color
some
details
lives
milestone
contributions
seven
personal
heroes
engram
(Richard
Semon,
Karl
Lashley,
Donald
Hebb,
Wilder
Penfield,
Brenda
Milner,
James
McConnell,
Thompson).
reviewing
historic
role,
illustrate
how
work
remains
relevant
today's
studies.
Annual Review of Psychology,
Journal Year:
2016,
Volume and Issue:
67(1), P. 105 - 134
Published: Jan. 4, 2016
The
last
decade
has
seen
dramatic
technological
and
conceptual
changes
in
research
on
episodic
memory
the
brain.
New
technologies,
increased
use
of
more
naturalistic
observations,
have
enabled
investigators
to
delve
deeply
into
structures
that
mediate
memory,
particularly
hippocampus,
track
functional
structural
interactions
among
brain
regions
support
it.
Conceptually,
is
increasingly
being
viewed
as
subject
lifelong
transformations
are
reflected
neural
substrates
In
keeping
with
this
dynamic
perspective,
(and
hippocampus)
infiltrated
domains,
from
perception
language
empathy
problem
solving,
were
once
considered
outside
its
boundaries.
Using
component
process
model
a
framework,
focusing
subfields,
specialization
along
longitudinal
axis,
interaction
other
regions,
we
consider
these
new
developments
their
implications
for
organization
contribution
functions
domains.
Advanced Materials,
Journal Year:
2019,
Volume and Issue:
31(49)
Published: Sept. 24, 2019
As
the
research
on
artificial
intelligence
booms,
there
is
broad
interest
in
brain-inspired
computing
using
novel
neuromorphic
devices.
The
potential
of
various
emerging
materials
and
devices
for
has
attracted
extensive
efforts,
leading
to
a
large
number
publications.
Going
forward,
order
better
emulate
brain's
functions,
its
relevant
fundamentals,
working
mechanisms,
resultant
behaviors
need
be
re-visited,
understood,
connected
electronics.
A
systematic
overview
biological
neural
systems
given,
along
with
their
related
critical
mechanisms.
Recent
progress
reviewed
and,
more
importantly,
existing
challenges
are
highlighted
hopefully
shed
light
future
directions.
Science,
Journal Year:
2020,
Volume and Issue:
367(6478), P. 688 - 694
Published: Feb. 7, 2020
Microglia
modulate
memories
Synaptic
reorganization
and
circuit
rewiring
leads
to
loss
or
weakening
of
connections
between
neurons
may
result
in
the
erasure
previously
formed
memories.
eliminate
excessive
synapses
developing
brain
regulate
dynamics
synaptic
throughout
life.
However,
it
is
still
unclear
whether
forgetting
related
microglia
activity
how
memory
adult
brain.
Wang
et
al.
discovered
that
eliminated
components
hippocampus
depleting
inhibiting
phagocytosis
prevented
forgetting.
Synapse
elimination
by
thus
lead
degradation
engrams
learned
contextual
fear
memory.
Science
,
this
issue
p.
688
BMC Biology,
Journal Year:
2016,
Volume and Issue:
14(1)
Published: May 19, 2016
The
mechanism
of
memory
remains
one
the
great
unsolved
problems
biology.
Grappling
with
question
more
than
a
hundred
years
ago,
German
zoologist
Richard
Semon
formulated
concept
engram,
lasting
connections
in
brain
that
result
from
simultaneous
“excitations”,
whose
precise
physical
nature
and
consequences
were
out
reach
biology
his
day.
Neuroscientists
now
have
knowledge
tools
to
tackle
this
question,
however,
Forum
brings
together
leading
contemporary
views
on
mechanisms
what
engram
means
today.
npj Science of Learning,
Journal Year:
2019,
Volume and Issue:
4(1)
Published: July 2, 2019
Abstract
It
has
been
70
years
since
Donald
Hebb
published
his
formalized
theory
of
synaptic
adaptation
during
learning.
Hebb’s
seminal
work
foreshadowed
some
the
great
neuroscientific
discoveries
following
decades,
including
discovery
long-term
potentiation
and
other
lasting
forms
plasticity,
more
recently
residence
memories
in
synaptically
connected
neuronal
assemblies.
Our
understanding
processes
underlying
learning
memory
dominated
by
view
that
synapses
are
principal
site
information
storage
brain.
This
received
substantial
support
from
research
several
model
systems,
with
vast
majority
studies
on
topic
corroborating
a
role
for
storage.
Yet,
despite
neuroscience
community’s
best
efforts,
we
still
without
conclusive
proof
reside
at
synapses.
Furthermore,
an
increasing
number
non-synaptic
mechanisms
have
emerged
also
capable
acting
as
substrates.
In
this
review,
address
key
findings
plasticity
literature
make
these
phenomena
such
attractive
mechanisms.
We
then
turn
our
attention
to
evidence
questions
reliance
exclusively
changes
synapse
attempt
integrate
opposing
views.
Frontiers in Behavioral Neuroscience,
Journal Year:
2017,
Volume and Issue:
11
Published: March 6, 2017
It
is
now
clearly
established
that
complex
interactions
between
genes
and
environment
are
involved
in
multiple
aspects
of
neuropsychiatric
disorders,
from
determining
an
individual's
vulnerability
to
onset,
influencing
its
response
therapeutic
intervention.
In
this
perspective,
it
appears
crucial
better
understand
how
the
organism
reacts
environmental
stimuli
provide
a
coordinated
adapted
response.
central
nervous
system,
neuronal
plasticity
neurotransmission
among
major
processes
integrating
such
stimuli.
particular,
immediate
early
(IEGs)
critical
components
these
as
they
molecular
framework
for
rapid
dynamic
activity
while
opening
possibility
lasting
sustained
adaptation
through
regulation
expression
wide
range
genes.
As
result,
IEGs
have
been
tightly
associated
with
well
variety
higher
order
within
system
learning,
memory
sensitivity
reward.
The
gene
transcription
factor
growth
1
(EGR1)
has
thus
revealed
mediator
regulator
synaptic
both
physiological
pathological
conditions.
review
article,
we
will
focus
on
role
EGR1
system.
First,
summarize
different
factors
activity.
Then,
analyze
amount
data,
including
genome-wide,
emerged
recent
years
describing
genes,
pathways
biological
functions
regulated
directly
or
indirectly
by
EGR1.
We
be
able
gain
insights
into
mechanisms
underlying
EGR1's
Finally,
discuss
illustrate
states
particular
interest
cognitive
disorders.
Annual Review of Vision Science,
Journal Year:
2019,
Volume and Issue:
5(1), P. 399 - 426
Published: Aug. 8, 2019
Artificial
vision
has
often
been
described
as
one
of
the
key
remaining
challenges
to
be
solved
before
machines
can
act
intelligently.
Recent
developments
in
a
branch
machine
learning
known
deep
have
catalyzed
impressive
gains
vision-giving
sense
that
problem
is
getting
closer
being
solved.
The
goal
this
review
provide
comprehensive
overview
recent
and
critically
assess
actual
progress
toward
achieving
human-level
visual
intelligence.
I
discuss
implications
successes
limitations
modern
algorithms
for
biological
prospect
neuroscience
inform
design
future
artificial
systems.