Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Янв. 17, 2024
Information
for
organismal
patterning
can
come
from
a
variety
of
sources.
We
investigate
the
possibility
that
instructive
influences
normal
embryonic
development
are
provided
not
only
at
level
cells
within
embryo,
but
also
via
interactions
between
embryos.
To
explore
this,
we
challenge
groups
embryos
with
disruptors
while
varying
group
size.
Here,
show
Xenopus
laevis
much
more
sensitive
to
diverse
set
chemical
and
molecular-biological
perturbations
when
allowed
develop
alone
or
in
small
groups,
than
large
groups.
Keeping
per-embryo
exposure
constant,
find
increasing
number
exposed
cohort
increases
rate
survival
incidence
defects
decreases.
This
inter-embryo
assistance
effect
is
mediated
by
short-range
diffusible
signals
involves
P2
ATP
receptor.
Our
data
computational
model
emphasize
morphogenesis
collective
phenomenon
cells,
whole
bodies,
size
crucial
variable
studies
ecotoxicology,
teratogenesis,
developmental
plasticity.
Entropy,
Год журнала:
2022,
Номер
24(6), С. 819 - 819
Опубликована: Июнь 12, 2022
One
of
the
most
salient
features
life
is
its
capacity
to
handle
novelty
and
namely
thrive
adapt
new
circumstances
changes
in
both
environment
internal
components.
An
understanding
this
central
several
fields:
evolution
form
function,
design
effective
strategies
for
biomedicine,
creation
novel
forms
via
chimeric
bioengineering
technologies.
Here,
we
review
instructive
examples
living
organisms
solving
diverse
problems
propose
competent
navigation
arbitrary
spaces
as
an
invariant
thinking
about
scaling
cognition
during
evolution.
We
argue
that
our
innate
recognize
agency
intelligence
unfamiliar
guises
lags
far
behind
ability
detect
it
familiar
behavioral
contexts.
The
multi-scale
competency
essential
adaptive
potentiating
providing
top-down
control
(not
micromanagement)
address
complex
disease
injury.
observer-focused
viewpoint
agnostic
scale
implementation,
illustrating
how
pivoted
similar
explore
exploit
metabolic,
transcriptional,
morphological,
finally
3D
motion
spaces.
By
generalizing
concept
behavior,
gain
perspectives
on
evolution,
system-level
biomedical
interventions,
construction
bioengineered
intelligences.
This
framework
a
first
step
toward
relating
highly
embodiments,
which
will
be
progress
artificial
regenerative
medicine
thriving
world
increasingly
populated
by
synthetic,
bio-robotic,
hybrid
beings.
The
aim
of
this
paper
is
to
introduce
a
field
study
that
has
emerged
over
the
last
decade,
called
Bayesian
mechanics.
mechanics
probabilistic
mechanics,
comprising
tools
enable
us
model
systems
endowed
with
particular
partition
(i.e.
into
particles),
where
internal
states
(or
trajectories
states)
system
encode
parameters
beliefs
about
external
their
trajectories).
These
allow
write
down
mechanical
theories
for
look
as
if
they
are
estimating
posterior
probability
distributions
causes
sensory
states.
This
provides
formal
language
modelling
constraints,
forces,
potentials
and
other
quantities
determining
dynamics
such
systems,
especially
entail
on
space
statistical
manifold).
Here,
we
will
review
state
art
in
literature
free
energy
principle,
distinguishing
between
three
ways
which
been
applied
path-tracking,
mode-tracking
mode-matching).
We
go
examine
duality
principle
constrained
maximum
entropy
both
lie
at
heart
discuss
its
implications.
Cellular and Molecular Life Sciences,
Год журнала:
2023,
Номер
80(6)
Опубликована: Май 8, 2023
Abstract
A
critical
aspect
of
evolution
is
the
layer
developmental
physiology
that
operates
between
genotype
and
anatomical
phenotype.
While
much
work
has
addressed
mechanisms
evolvability
specific
genetic
architectures
with
emergent
complexity,
one
not
been
sufficiently
explored:
implications
morphogenetic
problem-solving
competencies
for
evolutionary
process
itself.
The
cells
works
are
passive
components:
rather,
they
have
numerous
capabilities
behavior
because
derive
from
ancestral
unicellular
organisms
rich
repertoires.
In
multicellular
organisms,
these
must
be
tamed,
can
exploited,
by
process.
Specifically,
biological
structures
a
multiscale
competency
architecture
where
cells,
tissues,
organs
exhibit
regulative
plasticity—the
ability
to
adjust
perturbations
such
as
external
injury
or
internal
modifications
still
accomplish
adaptive
tasks
across
metabolic,
transcriptional,
physiological,
problem
spaces.
Here,
I
review
examples
illustrating
how
physiological
circuits
guiding
cellular
collective
impart
computational
properties
agential
material
serves
substrate
then
explore
ways
in
which
intelligence
during
morphogenesis
affect
evolution,
providing
new
perspective
on
search
This
key
feature
software
life
helps
explain
remarkable
speed
robustness
sheds
light
relationship
genomes
functional
phenotypes.
Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Март 28, 2024
Abstract
A
defining
feature
of
biology
is
the
use
a
multiscale
architecture,
ranging
from
molecular
networks
to
cells,
tissues,
organs,
whole
bodies,
and
swarms.
Crucially
however,
not
only
nested
structurally,
but
also
functionally:
each
level
able
solve
problems
in
distinct
problem
spaces,
such
as
physiological,
morphological,
behavioral
state
space.
Percolating
adaptive
functionality
one
competent
subunits
higher
functional
organization
requires
collective
dynamics:
multiple
components
must
work
together
achieve
specific
outcomes.
Here
we
overview
number
biological
examples
at
different
scales
which
highlight
ability
cellular
material
make
decisions
that
implement
cooperation
toward
homeodynamic
endpoints,
intelligence
by
solving
cell,
tissue,
whole-organism
levels.
We
explore
hypothesis
province
groups
animals,
an
important
symmetry
exists
between
science
swarms
competencies
cells
other
systems
scales.
then
briefly
outline
implications
this
approach,
possible
impact
tools
field
diverse
for
regenerative
medicine
synthetic
bioengineering.
Frontiers in Ecology and Evolution,
Год журнала:
2021,
Номер
9
Опубликована: Март 16, 2021
One
of
the
most
useful
metaphors
for
driving
scientific
and
engineering
progress
has
been
that
“machine.”
Much
controversy
exists
about
applicability
this
concept
in
life
sciences.
Advances
molecular
biology
have
revealed
numerous
design
principles
can
be
harnessed
to
understand
cells
from
an
perspective,
build
novel
devices
rationally
exploit
laws
chemistry,
physics,
computation.
At
same
time,
organicists
point
many
unique
features
life,
especially
at
larger
scales
organization,
which
resisted
decomposition
analysis
artificial
implementation.
Here,
we
argue
much
debate
focused
on
inessential
aspects
machines
–
classical
properties
surpassed
by
advances
modern
Machine
Behavior
no
longer
apply.
This
emerging
multidisciplinary
field,
interface
machine
learning,
synthetic
bioengineering,
is
highlighting
inadequacy
existing
definitions.
Key
terms
such
as
machine,
robot,
program,
software,
evolved,
designed,
etc.,
need
revised
light
technological
theoretical
moved
past
dated
philosophical
conceptions
limited
our
understanding
both
evolved
designed
systems.
Moving
beyond
contingent
historical
current
will
enable
conceptual
tools
embrace
inevitable
hybrid
bioengineering
computer
science,
toward
a
framework
identifies
essential
distinctions
between
fundamental
concepts
living
agents.
Progress
theory
practical
applications
requires
establishment
conception
“machines
they
could
be,”
based
profound
lessons
all
scales.
We
sketch
perspective
acknowledges
remarkable,
help
re-define
key
terms,
identify
deep,
future
sharp
boundaries
systems
not
exist.
Entropy,
Год журнала:
2020,
Номер
22(8), С. 889 - 889
Опубликована: Авг. 13, 2020
The
aim
of
this
paper
is
twofold:
(1)
to
assess
whether
the
construct
neural
representations
plays
an
explanatory
role
under
variational
free-energy
principle
and
its
corollary
process
theory,
active
inference;
(2)
if
so,
which
philosophical
stance—in
relation
ontological
epistemological
status
representations—is
most
appropriate.
We
focus
on
non-realist
(deflationary
fictionalist-instrumentalist)
approaches.
consider
a
deflationary
account
mental
representation,
according
explanatorily
relevant
contents
are
mathematical,
rather
than
cognitive,
fictionalist
or
instrumentalist
account,
scientifically
useful
fictions
that
serve
(and
other)
aims.
After
reviewing
inference,
we
argue
model
adaptive
phenotypes
can
be
used
furnish
formal
semantics,
enabling
us
assign
semantic
content
specific
phenotypic
states
(the
internal
Markovian
system
exists
far
from
equilibrium).
propose
modified
account—an
organism-centered
fictionalism
instrumentalism.
that,
principle,
pursuing
even
licenses
appeal
kind
involved
in
‘aboutness’
intentionality
cognitive
systems;
our
position
thus
coherent
with,
but
rests
distinct
assumptions
from,
realist
position.
thereby
explains
aboutness
living
systems
hence
their
capacity
parse
sensory
stream
using
ontology
set
factors.
International Journal of Molecular Sciences,
Год журнала:
2021,
Номер
22(5), С. 2545 - 2545
Опубликована: Март 3, 2021
Cells
emerged
at
the
very
beginning
of
life
on
Earth
and,
in
fact,
are
coterminous
with
life.
They
enclosed
within
an
excitable
plasma
membrane,
which
defines
outside
and
inside
domains
via
their
specific
biophysical
properties.
Unicellular
organisms,
such
as
diverse
protists
algae,
still
live
a
cellular
However,
fungi,
plants,
animals
evolved
multicellular
existence.
Recently,
we
have
developed
basis
consciousness
(CBC)
model,
proposes
that
all
biological
awareness,
sentience
grounded
general
cell
biology.
Here
discuss
biomolecular
structures
processes
allow
for
maintain
this
from
evolutionary
perspective.
Neuroscience of Consciousness,
Год журнала:
2021,
Номер
2021(2)
Опубликована: Май 1, 2021
Abstract
Theories
of
consciousness
and
cognition
that
assume
a
neural
substrate
automatically
regard
phylogenetically
basal,
nonneural
systems
as
nonconscious
noncognitive.
Here,
we
advance
scale-free
characterization
regards
basal
systems,
including
synthetic
constructs,
not
only
informative
about
the
structure
function
experience
in
more
complex
but
also
offering
distinct
advantages
for
experimental
manipulation.
Our
“minimal
physicalist”
approach
makes
no
assumptions
beyond
those
quantum
information
theory,
hence
is
applicable
from
molecular
scale
upwards.
We
show
standard
concepts
integrated
information,
state
broadcasting
via
small-world
networks,
hierarchical
Bayesian
inference
emerge
naturally
this
setting,
common
phenomena
stigmergic
memory,
perceptual
coarse-graining,
attention
switching
follow
directly
thermodynamic
requirements
classical
computation.
self-representation
lies
at
heart
human
autonoetic
awareness
can
be
traced
far
back
as,
serves
same
basic
functions
stress
response
bacteria
other
systems.
Biological Journal of the Linnean Society,
Год журнала:
2022,
Номер
139(4), С. 457 - 486
Опубликована: Июль 14, 2022
Abstract
The
rich
variety
of
biological
forms
and
behaviours
results
from
one
evolutionary
history
on
Earth,
via
frozen
accidents
selection
in
specific
environments.
This
ubiquitous
baggage
natural,
familiar
model
species
obscures
the
plasticity
swarm
intelligence
cellular
collectives.
Significant
gaps
exist
our
understanding
origin
anatomical
novelty,
relationship
between
genome
form,
strategies
for
control
large-scale
structure
function
regenerative
medicine
bioengineering.
Analysis
living
that
have
never
existed
before
is
necessary
to
reveal
deep
design
principles
life
as
it
can
be.
We
briefly
review
existing
examples
chimaeras,
cyborgs,
hybrots
other
beings
along
spectrum
containing
evolved
designed
systems.
To
drive
experimental
progress
multicellular
synthetic
morphology,
we
propose
teleonomic
(goal-seeking,
problem-solving)
behaviour
diverse
problem
spaces
a
powerful
invariant
across
possible
regardless
composition
or
origin.
Cybernetic
perspectives
chimaeric
morphogenesis
erase
artificial
distinctions
established
by
past
limitations
technology
imagination.
suggest
multi-scale
competency
architecture
facilitates
evolution
robust
problem-solving,
machines.
Creation
analysis
novel
will
be
an
essential
testbed
emerging
field
intelligence,
with
numerous
implications
medicine,
robotics
ethics.