RUDN Journal of Philosophy,
Год журнала:
2023,
Номер
27(4), С. 835 - 847
Опубликована: Дек. 15, 2023
The
study
analyzes
modern
reductivist
and
antireductivist
approaches
to
understanding
the
interaction
between
philosophy
neuroscience.
It
content
grounds
for
using
concepts
of
neuroscience
neurosciences,
neuroscience,
neurophilosophy.
milestones
in
development
neuroreductivism,
from
Patricia
Churchland’s
arguments
support
intertheoretic
reduction
through
Francis
Crick’s
eliminativism
John
Bickle’s
ruthless
reductionism,
are
described.
ontological,
methodological,
epistemic
neurosciences
other
ways
representing
mind
body
analyzed.
Drawing
on
post-Wittgensteinian
paradigm
Max
Bennett,
Peter
Hacker,
Andrew
Reynolds,
semantic
problems
that
arise
when
is
attempted
described
derive
inability
eliminate
basic
metaphorical
level
meaning-making
transmission
rooted
everyday
language
its
figures,
among
which
metaphors
fundamental.
descriptivist
approach
contrasted
with
neurorevisionism,
an
attempt
“correct”
established
conceptualizing
consciousness
corporeality,
akin
earlier
revisionisms,
particularly
physicalism,
forced
deal
similar
problems.
Reduction
-
operation
“return,”
itself
understood
metaphorically
antireduction,
resists
scientific
revisionism
“returns”
descriptive
work,
presented
as
a
circular
hermeneutical
movement
necessary
philosophical
understanding,
but
not
leading
disciplinary
hegemony
or
“victory”
either
side.
concludes
sketch
publications
included
rubric.
European Journal of Neuroscience,
Год журнала:
2025,
Номер
61(5)
Опубликована: Март 1, 2025
ABSTRACT
Brain
information
processing
complexity
is
conventionally
recognized
as
derived
from
neuronal
activity,
with
neurons
and
their
dynamic
signalling
responsible
for
the
transfer
of
information.
However,
brain
also
contains
other
non‐neuronal
cells,
glial
which
exceed
number
are
involved
in
processes
related
coding
by
neural
networks
underlying
functions.
Decisive
advances
characterization
molecular
physiological
properties
cells
shed
light
on
active
roles
neurotransmission
physiopathology.
This
expanded
relationship
between
glia
challenges
traditional
neurobiology
highlighting
reciprocal
influence,
where
it
difficult
to
determine
whether
or
initiate
drive
interactions.
interplay
creates
a
dilemma,
causal
hierarchy
these
two
cell
types
remains
unresolved.
A
philosophical
tool,
‘Theory
Complexity’
Edgard
Morin
can
help
better
explain
study
neuron–glia
Morin's
proposal
useful
transform
knowledge,
order
review
functions
antireductionist
pattern.
In
this
manuscript,
we
will
discuss
how
use
‘retroactive
loop’
principle
at
level,
proposing
new
philosophical‐experimental
grid
that
neuroscientists
understanding
glia–neuron
interactions
brain.
Education Sciences,
Год журнала:
2023,
Номер
13(10), С. 1006 - 1006
Опубликована: Окт. 4, 2023
Educational
neuroscience
presents
a
broad
view
of
what
learning
is
and
how
when
it
occurs.
Consequently,
neuroeducation
offers
improved
strategies
for
understanding
developing
the
teaching–learning
process.
It
is,
therefore,
essential
that
teachers
students
are
trained
in
neuroeducation,
given
current
knowledge
this
field.
study
aims
to
reflect
on
training
received
by
undergraduate
studying
early
childhood
primary
education
find
out
teaching
approached
universities
eight
Andalusian
provinces.
As
methodology,
content
analysis
was
made,
which
allowed
us
transform
qualitative
data
into
quantitative
data.
The
categories
analysed
were
“Neuroeducation”,
“Metacognition”,
“Cognitive
processes”
“Cognition”.
plans
2022/2023
academic
year
considered.
results
these
showed
that,
despite
relevance
educational
context,
barely
addressed
subject.
This
suggested
future
not
enough
enable
them
make
most
considerations.
Behavioral and Brain Sciences,
Год журнала:
2024,
Номер
47
Опубликована: Янв. 1, 2024
Abstract
Reductionist
methodologies
reduce
phenomena
to
some
of
their
lower-level
components.
Researchers
gradually
shift
focus
away
from
observing
the
actual
object
study
toward
investigating
and
optimizing
such
proxies.
Following
reductionism,
these
proxies
progressively
diverge
further
original
study.
We
vividly
illustrate
this
in
evolution
target-based
drug
discovery
rational
phenotypic
discovery.
Authorea (Authorea),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 28, 2024
Brain
information
processing
complexity
is
conventionally
recognized
as
derived
from
neuronal
activity,
with
neurons
and
their
dynamic
signalling
responsible
for
the
transfer
of
.
However,
brain
also
contains
other
non-neuronal
cells,
glial
which
exceed
number
have
been
largely
ignored,
in
past,
being
involved
processes
related
coding
by
neural
networks
underlying
functions.
Nonetheless,
decisive
advances
characterization
molecular
physiological
properties
cells
shed
light
on
active
roles
neurotransmission
physio-pathology.
Thus,
order
to
understand
functions
we
need
consider
relationship
between
cells.
This
expanded
glia
challenging
traditional
neurobiology,
representing
a
typical
'chicken
egg
'problem.
A
philosophical
tool,
'Theory
Complexity'
Edgard
Morin
can
help
better
explain
study
neuronal-
interactions.
Morin's
proposal
useful
transform
knowledge,
review
anti-reductionist
pattern.
In
this
manuscript,
will
discuss
how
use
'retroactive
loop'
principle
at
level,
proposing
new
philosophical-experimental
grid
that
neuroscientists
understanding
glia-neurons
interactions
brain.
Journal of Multiscale Neuroscience,
Год журнала:
2023,
Номер
2(1), С. 221 - 239
Опубликована: Март 30, 2023
There
is
growing
evidence
that
brain
processes
involve
multiscale
overlapping
networks
and
the
mapping
between
such
neural
cognitive
functions
many-to-many.
So,
answer
to
question
what
spatiotemporal
scales
in
are
most
relevant
for
cognition,
action,
experience,
etc.,
several
inextricably
interconnected
integrated
relevant.
also
brains
embodied
agents
(people)
part
of
“larger”
distributed
“bio-psycho-social
networks.”
One
cannot
fully
appreciate
do
how
they
work
isolation
from
these
larger
multiscale,
multi-level,
multi-faceted
“4E”
(embodied,
embedded,
extended,
enactive).
Nor
can
one
explain
human
or
action
without
an
understanding.
Establishing
claims
purpose
this
paper.
Section
2
will
unpack
claim
itself
best
viewed
as
dynamical,
multifunctional,
coordinated,
networks.
Furthermore,
individual
conscious
embedded
dynamical
3
argues
characterization
4E
not
terms
mechanistic
reduction
modularity,
but
contextual
emergence.
4
draw
key
connections
emergence
related
other
philosophers
neuroscientists.
Lastly,
conclude
reasonably
conceived
highly
non-decomposable
contextually
emergent
systems.
In
short,
people
computers.
Journal of Multiscale Neuroscience,
Год журнала:
2023,
Номер
2(1)
Опубликована: Март 30, 2023
There
is
growing
evidence
that
brain
processes
involve
multiscale
overlapping
networks
and
the
mapping
between
such
neural
cognitive
functions
many-to-many.So,
answer
to
question
what
spatiotemporal
scales
in
are
most
relevant
for
cognition,
action,
experience,
etc.,
several
inextricably
interconnected
integrated
relevant.There
also
brains
embodied
agents
(people)
part
of
"larger"
distributed
"biopsycho-social
networks."One
cannot
fully
appreciate
do
how
they
work
isolation
from
these
larger
multiscale,
multi-level,
multi-faceted
"4E"
(embodied,
embedded,
extended,
enactive).Nor
can
one
explain
human
or
action
without
an
understanding.Establishing
claims
purpose
this
paper.Section
2
will
unpack
claim
itself
best
viewed
as
dynamical,
multifunctional,
coordinated,
networks.Furthermore,
individual
conscious
embedded
dynamical
networks.Section
3
argues
characterization
4E
not
terms
mechanistic
reduction
modularity,
but
contextual
emergence.Section
4
draw
key
connections
emergence
related
other
philosophers
neuroscientists.Lastly,
Section
conclude
reasonably
conceived
highly
non-decomposable
contextually
emergent
systems.In
short,
people
computers.
Reductionist
methodologies
reduce
phenomena
to
some
of
their
lower-level
components.
Researchers
gradually
shift
focus
away
from
observing
the
actual
object
study
toward
investigating
and
optimizing
such
proxies.
Following
reductionism,
these
proxies
progressively
diverge
further
original
study.
We
vividly
illustrate
this
in
evolution
target-based
drug
discovery
rational
phenotypic
discovery.