Nature Communications,
Journal Year:
2016,
Volume and Issue:
7(1)
Published: Jan. 21, 2016
Abstract
A
key
characteristic
of
human
brain
activity
is
coherent,
spatially
distributed
oscillations
forming
behaviour-dependent
networks.
However,
a
fundamental
principle
underlying
these
networks
remains
unknown.
Here
we
report
that
functional
the
are
predicted
by
harmonic
patterns,
ubiquitous
throughout
nature,
steered
anatomy
cerebral
cortex,
connectome.
We
introduce
new
technique
extending
Fourier
basis
to
In
this
frequency-specific
representation
cortical
activity,
call
‘connectome
harmonics’,
oscillatory
at
rest
match
wave
patterns
certain
frequencies.
demonstrate
neural
mechanism
behind
self-organization
connectome
harmonics
with
continuous
field
model
excitatory–inhibitory
interactions
on
Remarkably,
critical
relation
between
and
delicate
excitation–inhibition
balance
fits
neurophysiological
changes
observed
during
loss
recovery
consciousness.
Physiological Reviews,
Journal Year:
2017,
Volume and Issue:
97(4), P. 1619 - 1747
Published: Sept. 28, 2017
In
the
hippocampus
GABAergic
local
circuit
inhibitory
interneurons
represent
only
~10–15%
of
total
neuronal
population;
however,
their
remarkable
anatomical
and
physiological
diversity
allows
them
to
regulate
virtually
all
aspects
cellular
function.
Here
we
provide
an
overview
current
state
field
interneuron
research,
focusing
largely
on
hippocampus.
We
discuss
recent
advances
related
various
cell
types,
including
development
maturation,
expression
subtype-specific
voltage-
ligand-gated
channels,
roles
in
network
oscillations.
also
technological
approaches
that
have
permitted
high-resolution,
examination
numerous
neural
disorders
emerging
therapeutic
strategies
ameliorate
such
pathophysiological
conditions.
The
ultimate
goal
this
review
is
not
a
touchstone
for
field,
but
help
pave
way
future
research
by
highlighting
where
gaps
our
knowledge
exist
how
complete
appreciation
will
aid
strategies.
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.
