bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 28, 2024
Abstract
The
classic
view
of
cortical
circuits
composed
precisely
tuned
neurons
hardly
accounts
for
large-scale
recordings
indicating
that
neuronal
populations
are
heterogeneous
and
exhibit
activity
patterns
evolving
on
low-dimensional
manifolds.
Using
a
modelling
approach,
we
connect
these
two
contrasting
views.
Our
recurrent
spiking
network
models
explicitly
link
the
circuit
structure
with
dynamics
population
activity.
Importantly,
show
different
can
lead
to
equivalent
dynamics.
Nevertheless,
design
method
retrieving
from
test
it
simulated
data.
approach
not
only
unifies
established
collective
dynamics,
but
also
paves
way
identifying
elements
experimental
recordings.
Theory & Psychology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 13, 2025
This
paper
proposes
an
investigation
of
affective
experience
bridging
the
field
phenomenology
and
cognitive
neuroscience.
Drawing
on
Husserl’s
mainstream
neuroscience
approach,
I
will
differentiate
phenomena
into
two
categories:
emotions
feelings.
According
to
neuroscience,
Panksepp’s
proposal
is
followed
further
distinguish
three
forms
emotional
processes.
propose
that
holds
greater
heuristic
value
in
primary
secondary
processes
experience,
which
can
be
defined
as
emotions,
while
acquires
significance
third
level,
interpret
being
related
Epistemological
details
are
introduced
distinct
approaches
measurement
brief
insight
empirical
methodologies
crucial
justify
introduction
phenomenological
analyses.
After
a
method,
this
series
analyses
demonstrate
how
complex
phenomena,
such
desires
feelings,
investigated.
Such
approach
refer
intentionality,
constitutive
functions,
experiential
layers.
does
not
necessarily
contradict
but
it
allows
us
introduce
new
insights
classifications
feelings
that,
long
run,
may
influence
research.
Abstract
Sensorimotor
computations
for
learning
and
behavior
rely
on
precise
patterns
of
synaptic
connectivity.
Yet,
we
typically
lack
the
wiring
diagrams
long-range
connections
between
sensory
motor
circuits
in
brain.
Here
provide
diagram
sensorimotor
involved
production
male
zebra
finch
song,
a
natural
ethologically
relevant
behavior.
We
examined
functional
connectivity
from
4
main
afferent
pathways
onto
3
known
classes
projection
neurons
song
premotor
cortical
region
HVC.
Recordings
hundreds
identified
reveal
rules
monosynaptic
existence
polysynaptic
ensembles
excitatory
inhibitory
neuronal
populations
Circuit
tracing
further
identifies
novel
HVC’s
presynaptic
partners.
Our
results
indicate
modular
organization
ensemble-like
networks
integrating
input
with
local
circuits,
providing
important
context
information
flow
learned
vocal
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 27, 2024
Abstract
Brain
recordings
collected
at
different
resolutions
support
statistically
distinct
signatures
of
information
processing,
leading
to
scale-dependent
theories
brain
function.
Here,
we
demonstrate
that
these
disparate
neural-coding
emerge
from
the
same
multiscale
functional
organisation
neuronal
activity
across
calcium-imaging
whole
brains
zebrafish
and
nematode,
as
well
sensory
regions
fly,
mouse,
macaque
brain.
Network
simulations
show
hierarchical-modular
structural
connectivity
facilitates
coordination,
enhancing
processing
benefits
such
a
maximal
dynamic
range.
Finally,
this
cross-scale
supports
behavioural
states
species
by
reconfiguring
affiliation
temporal
dynamics
mesoscale.
Our
findings
suggest
self-similar
scaling
is
universal
principle
reconciles
function,
facilitating
both
efficiency
resiliency
while
enabling
significant
reconfiguration
mesoscale
cellular
ensembles
accommodate
demands.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 28, 2024
Abstract
The
classic
view
of
cortical
circuits
composed
precisely
tuned
neurons
hardly
accounts
for
large-scale
recordings
indicating
that
neuronal
populations
are
heterogeneous
and
exhibit
activity
patterns
evolving
on
low-dimensional
manifolds.
Using
a
modelling
approach,
we
connect
these
two
contrasting
views.
Our
recurrent
spiking
network
models
explicitly
link
the
circuit
structure
with
dynamics
population
activity.
Importantly,
show
different
can
lead
to
equivalent
dynamics.
Nevertheless,
design
method
retrieving
from
test
it
simulated
data.
approach
not
only
unifies
established
collective
dynamics,
but
also
paves
way
identifying
elements
experimental
recordings.
