Physics of Life Reviews,
Journal Year:
2024,
Volume and Issue:
51, P. 442 - 458
Published: Nov. 15, 2024
Recent
years
have
seen
an
explosion
of
interest
in
naturalistic
behaviour
and
machine
learning
tools
for
automatically
tracking
it.
However,
questions
about
what
to
measure,
how
measure
it,
relate
neural
activity
cognitive
processes
remain
unresolved.
In
this
Perspective,
we
propose
a
general
experimental
computational
framework
-
kinematic
coding
measuring
information
states
is
encoded
structured
patterns
read
out
by
others
during
social
interactions.
This
enables
the
design
new
experiments
generation
testable
hypotheses
that
link
behaviour,
cognition,
at
single-trial
level.
Researchers
can
employ
identify
single-subject,
encoding
readout
computations
address
meaningful
bodily
motion
transmitted
communicated.
Neuromorphic Computing and Engineering,
Journal Year:
2022,
Volume and Issue:
2(2), P. 022501 - 022501
Published: Jan. 12, 2022
Abstract
Modern
computation
based
on
von
Neumann
architecture
is
now
a
mature
cutting-edge
science.
In
the
architecture,
processing
and
memory
units
are
implemented
as
separate
blocks
interchanging
data
intensively
continuously.
This
transfer
responsible
for
large
part
of
power
consumption.
The
next
generation
computer
technology
expected
to
solve
problems
at
exascale
with
10
18
calculations
each
second.
Even
though
these
future
computers
will
be
incredibly
powerful,
if
they
type
architectures,
consume
between
20
30
megawatts
not
have
intrinsic
physically
built-in
capabilities
learn
or
deal
complex
our
brain
does.
These
needs
can
addressed
by
neuromorphic
computing
systems
which
inspired
biological
concepts
human
brain.
new
has
potential
used
storage
amounts
digital
information
much
lower
consumption
than
conventional
processors.
Among
their
applications,
an
important
niche
moving
control
from
centers
edge
devices.
aim
this
roadmap
present
snapshot
state
provide
opinion
challenges
opportunities
that
holds
in
major
areas
technology,
namely
materials,
devices,
circuits,
algorithms,
ethics.
collection
perspectives
where
leading
researchers
community
own
view
about
current
research
area.
We
hope
useful
resource
providing
concise
yet
comprehensive
introduction
readers
outside
field,
those
who
just
entering
well
established
community.
Annual Review of Neuroscience,
Journal Year:
2017,
Volume and Issue:
40(1), P. 603 - 627
Published: July 25, 2017
A
commonly
observed
neural
correlate
of
working
memory
is
firing
that
persists
after
the
triggering
stimulus
disappears.
Substantial
effort
has
been
devoted
to
understanding
many
potential
mechanisms
may
underlie
memory-associated
persistent
activity.
These
rely
either
on
intrinsic
properties
individual
neurons
or
connectivity
within
circuits
maintain
Nevertheless,
it
remains
unclear
which
are
at
play
in
brain
areas
involved
memory.
Herein,
we
first
summarize
palette
different
can
generate
We
then
discuss
recent
work
asks
activity
areas.
Finally,
future
studies
might
tackle
this
question
further.
Our
goal
bridge
between
communities
researchers
who
study
single-neuron
biophysical,
circuit,
underlies
Current Biology,
Journal Year:
2019,
Volume and Issue:
29(12), P. 1924 - 1937.e9
Published: May 23, 2019
When
we
listen
to
speech,
have
make
sense
of
a
waveform
sound
pressure.
Hierarchical
models
speech
perception
assume
that,
extract
semantic
meaning,
the
signal
is
transformed
into
unknown,
intermediate
neuronal
representations.
Traditionally,
studies
such
representations
are
guided
by
linguistically
defined
concepts,
as
phonemes.
Here,
argue
that
in
order
arrive
at
an
unbiased
understanding
responses
should
focus
instead
on
obtained
directly
from
stimulus.
We
illustrate
our
view
with
data-driven,
information
theoretic
analysis
dataset
24
young,
healthy
humans
who
listened
1
h
narrative
while
their
magnetoencephalogram
(MEG)
was
recorded.
find
two
recent
results,
improved
performance
encoding
model
which
annotated
linguistic
and
acoustic
features
were
combined
decoding
phoneme
subgroups
phoneme-locked
responses,
can
be
explained
based
entirely
features.
These
capitalize
edges
outperform
Gabor-filtered
spectrograms,
explicitly
describe
spectrotemporal
characteristics
individual
By
replicating
results
publicly
available
electroencephalography
(EEG)
data,
conclude
brain
serve
excellent
benchmarks.
However,
believe
further
human
cortical
also
explore
low-level
parsimonious
explanations
for
apparent
high-level
phenomena.
Current Opinion in Behavioral Sciences,
Journal Year:
2020,
Volume and Issue:
38, P. 20 - 28
Published: Aug. 19, 2020
Cognitive
control
allows
us
to
think
and
behave
flexibly
based
on
our
context
goals.
At
the
heart
of
theories
cognitive
is
a
representation
that
enables
same
input
produce
different
outputs
contingent
contextual
factors.
In
this
review,
we
focus
an
important
property
representation's
neural
code:
its
representational
dimensionality.
Dimensionality
balances
basic
separability/generalizability
trade-off
in
computation.
We
will
discuss
implications
for
control.
then
briefly
review
current
neuroscience
findings
regarding
dimensionality
representations
brain,
particularly
prefrontal
cortex.
conclude
by
highlighting
open
questions
crucial
directions
future
research.
