Communications Biology,
Год журнала:
2022,
Номер
5(1)
Опубликована: Июль 16, 2022
Abstract
Brain-computer
interfaces
provide
an
artificial
link
by
which
the
brain
can
directly
interact
with
environment.
To
achieve
fine
brain-computer
interface
control,
participants
must
modulate
patterns
of
cortical
oscillations
generated
from
motor
and
somatosensory
cortices.
However,
it
remains
unclear
how
humans
regulate
oscillations,
controllability
substantially
varies
across
individuals.
Here,
we
performed
simultaneous
electroencephalography
(to
assess
control)
functional
magnetic
resonance
imaging
measure
activity)
in
healthy
participants.
Self-regulation
induced
activity
basal
ganglia-cortical
network
neurofeedback
control
network.
Successful
self-regulation
correlated
striatal
network,
through
were
likely
modulated.
Moreover,
connectivity
strong
weak
self-regulation,
respectively.
The
findings
indicate
that
is
important
for
understanding
should
help
advance
technology.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2023,
Номер
33(7)
Опубликована: Июль 1, 2023
Adaptivity
is
a
dynamical
feature
that
omnipresent
in
nature,
socio-economics,
and
technology.
For
example,
adaptive
couplings
appear
various
real-world
systems,
such
as
the
power
grid,
social,
neural
networks,
they
form
backbone
of
closed-loop
control
strategies
machine
learning
algorithms.
In
this
article,
we
provide
an
interdisciplinary
perspective
on
systems.
We
reflect
notion
terminology
adaptivity
different
disciplines
discuss
which
role
plays
for
fields.
highlight
common
open
challenges
give
perspectives
future
research
directions,
looking
to
inspire
approaches.
Neuromorphic Computing and Engineering,
Год журнала:
2023,
Номер
3(4), С. 042001 - 042001
Опубликована: Окт. 23, 2023
Abstract
Understanding
how
biological
neural
networks
carry
out
learning
using
spike-based
local
plasticity
mechanisms
can
lead
to
the
development
of
real-time,
energy-efficient,
and
adaptive
neuromorphic
processing
systems.
A
large
number
models
have
recently
been
proposed
following
different
approaches.
However,
it
is
difficult
assess
if
these
be
easily
implemented
in
hardware,
compare
their
features
ease
implementation.
To
this
end,
survey,
we
provide
an
overview
representative
brain-inspired
synaptic
mixed-signal
complementary
metal–oxide–semiconductor
circuits
within
a
unified
framework.
We
review
historical,
experimental,
theoretical
approaches
modeling
plasticity,
identify
computational
primitives
that
support
low-latency
low-power
hardware
implementations
rules.
common
definition
locality
principle
based
on
pre-
postsynaptic
signals,
which
propose
as
important
requirement
for
physical
circuits.
Based
principle,
properties
same
framework,
describe
set
electronic
used
implement
computing
principles,
build
efficient
on-chip
online
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Фев. 15, 2023
The
detection
of
novel
stimuli
is
critical
to
learn
and
survive
in
a
dynamic
environment.
Though
powerfully
affect
brain
activity,
their
impact
on
specific
cell
types
circuits
not
well
understood.
Disinhibition
one
candidate
mechanism
for
novelty-induced
enhancements
activity.
Here
we
characterize
the
stimulus
novelty
disinhibitory
circuit
components
using
longitudinal
2-photon
calcium
imaging
Vip,
Sst,
excitatory
populations
mouse
visual
cortex.
Mice
behavioral
task
with
that
become
highly
familiar,
then
are
tested
both
familiar
stimuli.
consistently
perform
stimuli,
yet
responses
presentations
omissions
dramatically
altered.
Further,
find
modifies
coding
as
information.
At
population
level,
direction
these
changes
consistent
engagement
Vip-Sst
circuit.
single
identify
separate
clusters
cells
unique
patterns
changes.
This
study
accompanying
open-access
dataset
reveals
sensory
representations
cortical
establishes
key
driver
cellular
functional
diversity.
Journal of NeuroEngineering and Rehabilitation,
Год журнала:
2025,
Номер
22(1)
Опубликована: Март 27, 2025
Transcranial
alternating
current
stimulation
(tACS)
is
a
non-invasive
technique
that
modulates
neural
oscillations,
yet
its
specific
effects
on
cortical
excitability
are
not
well-understood.
This
study
investigated
the
of
tACS
neuroplasticity
in
primary
motor
cortex
(M1)
across
different
frequencies.
In
this
randomized,
sham-controlled,
crossover
study,
18
healthy
young
adults
received
β-tACS
γ-tACS,
and
sham
over
M1.
Neurophysiological
responses
were
assessed
using
evoked
potentials
(MEPs),
electroencephalograms
(EEG),
transcranial
(TEPs)
to
determine
frequency-specific
neuroplasticity.
γ-tACS
significantly
enhanced
excitability,
as
reflected
by
larger
MEP
amplitudes
compared
both
stimulation.
addition,
resulted
smaller
M1-P15
TEP
than
other
conditions.
contrast,
did
produce
significant
changes
either
MEPs
or
TEPs
These
findings
provide
evidence
induces
frequency-dependent
within
selective
modulation
with
suggests
potential
therapeutic
intervention
for
optimizing
function
rehabilitation.
was
registered
Chinese
Clinical
Trial
Registry
(ChiCTR2300074898,
date
registration:
2023/08/18).
Cell Reports,
Год журнала:
2024,
Номер
43(5), С. 114188 - 114188
Опубликована: Май 1, 2024
Detecting
novelty
is
ethologically
useful
for
an
organism's
survival.
Recent
experiments
characterize
how
different
types
of
over
timescales
from
seconds
to
weeks
are
reflected
in
the
activity
excitatory
and
inhibitory
neuron
types.
Here,
we
introduce
a
learning
mechanism,
familiarity-modulated
synapses
(FMSs),
consisting
multiplicative
modulations
dependent
on
presynaptic
or
pre/postsynaptic
activity.
With
FMSs,
network
responses
that
encode
emerge
under
unsupervised
continual
minimal
connectivity
constraints.
Implementing
FMSs
within
experimentally
constrained
model
visual
cortical
circuit,
demonstrate
generalizability
by
simultaneously
fitting
absolute,
contextual,
omission
effects.
Our
also
reproduces
functional
diversity
cell
subpopulations,
leading
testable
predictions
about
synaptic
dynamics
can
produce
both
population-level
heterogeneous
individual
signals.
Altogether,
our
findings
simple
plasticity
mechanisms
circuit
structure
qualitatively
distinct
complex
responses.
The Journal of Physiology,
Год журнала:
2022,
Номер
601(15), С. 3071 - 3090
Опубликована: Сен. 7, 2022
Abstract
In
the
brain,
patterns
of
neural
activity
represent
sensory
information
and
store
it
in
non‐random
synaptic
connectivity.
A
prominent
theoretical
hypothesis
states
that
assemblies,
groups
neurons
are
strongly
connected
to
each
other,
key
computational
units
underlying
perception
memory
formation.
Compatible
with
these
hypothesised
experiments
have
revealed
display
synchronous
activity,
either
spontaneously
or
upon
stimulus
presentation,
exhibit
behavioural
relevance.
While
remains
unclear
how
assemblies
form
work
has
vastly
contributed
understanding
various
interacting
mechanisms
this
process.
Here,
we
review
recent
literature
on
assembly
formation
by
categorising
involved
into
four
components:
plasticity,
symmetry
breaking,
competition
stability.
We
highlight
different
approaches
assumptions
behind
discuss
ideas
as
unit
brain.
image
