Cortical Representation of Touch in Silico
Neuroinformatics,
Journal Year:
2022,
Volume and Issue:
20(4), P. 1013 - 1039
Published: April 29, 2022
Abstract
With
its
six
layers
and
~
12,000
neurons,
a
cortical
column
is
complex
network
whose
function
plausibly
greater
than
the
sum
of
constituents’.
Functional
characterization
components
will
require
going
beyond
brute-force
modulation
neural
activity
small
group
neurons.
Here
we
introduce
an
open-source,
biologically
inspired,
computationally
efficient
model
somatosensory
cortex’s
granular
supragranular
after
reconstructing
barrel
cortex
in
soma
resolution.
Comparisons
to
empirical
observations
showed
that
silico
replicates
known
properties
touch
representations
whisker
deprivation-induced
changes
synaptic
strength
induced
vivo.
Simulations
show
history
membrane
potential
acts
as
spatial
filter
determines
presynaptic
population
neurons
contributing
post-synaptic
action
potential;
this
filtering
might
be
critical
for
integration
top-down
bottom-up
information.
Language: Английский
Information transfer and recovery for the sense of touch
Chao Huang,
No information about this author
Bernhard Englitz,
No information about this author
Andrey Reznik
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2020,
Volume and Issue:
unknown
Published: Dec. 9, 2020
Abstract
Transformation
of
postsynaptic
potentials
(PSPs)
into
action
(APs)
is
the
rate-limiting
step
communication
in
neural
networks.
The
efficiency
this
intracellular
information
transfer
also
powerfully
shapes
stimulus
representations
sensory
cortices.
Using
whole-cell
recordings
and
information-theoretic
measures,
we
show
herein
that
somatic
PSPs
accurately
represent
location
on
a
trial-by-trial
basis
single
neurons
even
4
synapses
away
from
periphery
whisker
system.
This
largely
lost
during
AP
generation
but
can
be
rapidly
(<20
ms)
recovered
using
complementary
local
populations
cell-type-specific
manner.
These
results
as
transferred
one
locus
to
another,
circuits
reconstruct
with
high
fidelity
so
faithfully
periphery,
only
their
PSPs,
resulting
lossless
processing
for
sense
touch
primary
somatosensory
cortex.
Language: Английский
A whole-cell recording database of neuromodulatory action in the adult neocortex
Xuan Yan,
No information about this author
Niccolò Calcini,
No information about this author
Payam Safavi
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Jan. 13, 2022
Background
The
recent
release
of
two
large
intracellular
electrophysiological
databases
now
allows
high-dimensional
systematic
analysis
mechanisms
information
processing
in
the
neocortex.
Here,
to
complement
these
efforts,
we
introduce
a
freely
and
publicly
available
database
that
provides
comparative
insight
into
role
various
neuromodulatory
transmitters
controlling
neural
processing.
Findings
A
vitro
whole-cell
patch-clamp
recordings
from
primary
somatosensory
motor
cortices
(layers
2/3)
adult
mice
(2-15
months
old)
both
sexes
is
introduced.
total
464
current-clamp
experiments
identified
excitatory
inhibitory
neurons
are
provided.
Experiments
include
with
(i)
Step-and-Hold
protocol
during
which
current
was
transiently
held
at
10
steps,
gradually
increasing
amplitude,
(ii)
“Frozen
Noise”
injections
model
amplitude
time-varying
nature
synaptic
inputs
neuron
biological
networks.
All
follow
within
across
drug
design
includes
vehicle
control
modulation
one
following
targets
same
neuron:
dopamine
its
receptors
D1R,
D2R,
serotonin
5HT1f
receptor,
norepinephrine
Alpha1,
acetylcholine
M1
receptors.
Conclusions
This
dataset
first
provide
selected
neuromodulators
cellular
excitability.
data
will
help
mechanistically
address
how
bottom-up
can
be
modulated,
providing
reference
for
studying
coding
characteristics
revealing
contribution
neuromodulation
Language: Английский
Cortical representation of touch in silico
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2020,
Volume and Issue:
unknown
Published: Nov. 7, 2020
Abstract
With
its
six
layers
and
~12000
neurons,
a
cortical
column
is
complex
network
whose
function
plausibly
greater
than
the
sum
of
constituents’.
Functional
characterization
components
will
require
going
beyond
brute-force
modulation
neural
activity
small
group
neurons.
Here
we
introduce
an
open-source,
biologically
inspired,
computationally
efficient
model
somatosensory
cortex’s
granular
supragranular
after
reconstructing
barrel
cortex
in
soma
resolution.
Comparisons
to
empirical
observations
showed
that
silico
replicates
known
properties
touch
representations
whisker
deprivation-induced
changes
synaptic
strength
induced
vivo
.
Simulations
show
history
membrane
potential
acts
as
spatial
filter
determines
presynaptic
population
neurons
contributing
post-synaptic
action
potential;
this
filtering
might
be
critical
for
integration
top-down
bottom-up
information.
Language: Английский
NETSCOPE: Information-Theory based Network Discovery and Analysis
Tido Bergmans,
No information about this author
Tousif Jamal,
No information about this author
Tansu Celikel
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: April 18, 2022
Abstract
Molecular,
cellular,
structural,
and
functional
networks
in
the
brain
each
represent
different
levels
of
organization
complexity.
These
are
interconnected,
their
interactions
underlie
brain’s
abilities
to
process
information,
regulate
bodily
functions,
mediate
behavior.
While
understanding
emergence
higher-level
(structural
functional)
from
lower-level
(molecular
cellular)
ones
is
crucial,
a
universal
analytical
method
applicable
all
network
types
has
been
lacking.
Here
we
introduce
an
open-source
toolbox
(NETSCOPE)
that
identifies
weighted
architectures
using
mutual
information
(MI)
variation
(VI).
We
demonstrate
accuracy
resulting
synthetic
data
by
recreating
five
molecular
S.
cerevisiae.
finally
deploy
NETSCOPE
identify
cell
type
specific
transcriptional
reconstruct
brain-wide
neural
encode
touch
mouse
brain.
The
code
made
available
Python,
Google
Colab,
Jupyter
Notebook,
MATLAB,
Octave.
Beyond
its
core
functionality,
this
discovery
holds
potential
for
broader
applications,
including
development
bioinspired
sparse
artificial
networks.
Language: Английский
How social play experience shapes development of higher brain function
Published: Sept. 25, 2023
Social
behavior
is
of
great
importance
in
human
and
animal
life
encompasses
a
wide
range
sophisticated
social
interactions.
play
believed
to
promote
the
physical,
social,
cognitive
emotional
development
animals.
Moreover,
it
enables
animals
living
groups
practice
their
complex
repertoire
behaviors
simplified
form.
In
this
thesis,
we
test
hypothesis
that
essential
for
network
prefrontal
cortex
(PFC),
an
important
brain
region
behavioral
flexibility
adulthood.
To
this,
rats
are
deprived
behavior.
Our
research
revealed
interaction
between
experience
specific
developmental
trajectories
subregions
on
inhibitory,
but
not
excitatory,
signals.
parallel
experiments,
adult
playdeprived
used
more
strategy
PFC-dependent
task.
We
further
show
exposure
risks
during
influences
performance
tasks
anxiety-like
adulthood
inhibitory
signals
mPFC.
addition,
our
results
indicated
interactions
risky
deprivation
were
limited,
suggesting
peer
ability
take
independently
influence
PFC
function.
summary,
thesis
contributes
better
understanding
at
molecular
level.
It
becomes
clear
different
types
parts
Language: Английский