Abstract
Cognitive
science
was
founded
on
the
idea
that
mind/brain
can
be
understood
in
computational
terms.
While
modeling
is
ubiquitous,
cognitive
takes
stronger
stance
literally
performs
computations.
Moreover,
performing
computations
crucial
to
explaining
what
does,
qua
mind/brain.
Unfortunately,
most
scientists
fail
consider
analog
computation
as
a
legitimate
and
theoretically
useful
type
of
addition
digital
computation;
extent
acknowledged,
it
mostly
based
simplistic
incomplete
understanding.
Taking
consist
only
one
(i.e.,
digital)
while
ignoring
another,
interestingly
distinct
analog)
leads
an
impoverished
understanding
could
mean
for
minds/brains
compute.
A
full
appreciation
computation—particularly
relation
computation—allows
researchers
develop
frameworks
hypotheses
new
exciting
ways.
Thus,
somewhat
counterintuitively,
looking
once‐dominant
computing
paradigm
yesteryear
provide
novel
ways
thinking
about
mind
brain.
This
article
categorized
under:
Philosophy
>
Foundations
Science
European Journal of Neuroscience,
Journal Year:
2024,
Volume and Issue:
60(5), P. 4756 - 4770
Published: June 10, 2024
We
develop
a
mathematical
approach
to
formally
proving
that
certain
neural
computations
and
representations
exist
based
on
patterns
observed
in
an
organism's
behaviour.
To
illustrate,
we
provide
simple
set
of
conditions
under
which
ant's
ability
determine
how
far
it
is
from
its
nest
would
logically
imply
structures
isomorphic
the
natural
numbers
Language Cognition and Neuroscience,
Journal Year:
2023,
Volume and Issue:
39(9), P. 1117 - 1133
Published: Jan. 18, 2023
Speech
perception
is
heavily
influenced
by
our
expectations
about
what
will
be
said.
In
this
review,
we
discuss
the
potential
of
multivariate
analysis
as
a
tool
to
understand
neural
mechanisms
underlying
predictive
processes
in
speech
perception.
First,
advantages
approaches
and
they
have
added
understanding
processing
from
acoustic-phonetic
form
speech,
over
syllable
identity
syntax,
its
semantic
content.
Second,
suggest
that
using
techniques
measure
informational
content
across
hierarchically
organised
speech-sensitive
brain
areas
might
enable
us
specify
which
prior
knowledge
sensory
signals
are
combined.
Specifically,
approach
allow
decode
how
different
priors,
e.g.
speaker's
voice
or
topic
current
conversation,
represented
at
stages
incoming
result
differently
represented.
Abstract
Perception
involves
the
processing
of
content
or
information
about
world.
In
what
form
is
this
represented?
I
argue
that
perception
widely
compositional.
The
perceptual
system
represents
many
stimulus
features
(including
shape,
orientation,
and
motion)
in
terms
combinations
other
(such
as
shape
parts,
slant
tilt,
common
residual
motion
vectors).
But
compositionality
can
take
a
variety
forms.
ways
which
representations
compose
are
markedly
different
from
sentences
thoughts
thought
to
be
composed.
suggest
thesis
compositional
not
itself
concrete
hypothesis
with
specific
predictions;
rather
it
affords
productive
framework
for
developing
evaluating
empirical
hypotheses
representations.
question
just
whether
compositional,
but
how
.
Answering
latter
provide
fundamental
insights
into
perception.
This
article
categorized
under:
Philosophy
>
Representation
Foundations
Cognitive
Science
Psychology
Psychophysics
Abstract
Cognitive
science
was
founded
on
the
idea
that
mind/brain
can
be
understood
in
computational
terms.
While
modeling
is
ubiquitous,
cognitive
takes
stronger
stance
literally
performs
computations.
Moreover,
performing
computations
crucial
to
explaining
what
does,
qua
mind/brain.
Unfortunately,
most
scientists
fail
consider
analog
computation
as
a
legitimate
and
theoretically
useful
type
of
addition
digital
computation;
extent
acknowledged,
it
mostly
based
simplistic
incomplete
understanding.
Taking
consist
only
one
(i.e.,
digital)
while
ignoring
another,
interestingly
distinct
analog)
leads
an
impoverished
understanding
could
mean
for
minds/brains
compute.
A
full
appreciation
computation—particularly
relation
computation—allows
researchers
develop
frameworks
hypotheses
new
exciting
ways.
Thus,
somewhat
counterintuitively,
looking
once‐dominant
computing
paradigm
yesteryear
provide
novel
ways
thinking
about
mind
brain.
This
article
categorized
under:
Philosophy
>
Foundations
Science
