From
birth
until
death
animals
resist
gravity,
effortfully
asserting
bodily
form,
animate
behaviour,
and
postural
balance.
Most
basic
negentropic
behaviours
are
understood
as
homeostasis
(e.g.
thermoregulation),
but
balance
is
taken
to
be
an
exception.
Many
studies
have
elucidated
its
sub-mechanisms,
the
existence
of
goal-oriented
homeostatic
organisation
remains
open
question.
The
current
theoretical
paper
reviews
existing
work
highlight
challenge
assumptions
that
belie
a
model,
arguing
organised
one
aspect
wider
mechano-homeostasis,
by
control
loop
organisationally
akin
thermoregulation.
biophysical
cost
maintaining
agent-medium
density
gradient
defines
task,
which
regulation
mechanical
force.
Organism-level
mechano-homeostasis
must
approximately
maintain
certain
force
field
at
surface
organism
(i.e.
precisely
cancels
gravitational
acceleration),
or
will
fall,
dissipate
die.
argument
specifies
this
fluid,
dynamical
‘balance’
for
arbitrary
morphologies
configurations,
describes
how
apprehend
it
developmentally
their
own
embodiment.
I
motivate
define
examine
against
evidence,
discuss
implications,
limitations
scope
understanding
embodied
spatiotemporal
animacy
in
robots.
Biomimetics,
Год журнала:
2023,
Номер
8(1), С. 110 - 110
Опубликована: Март 8, 2023
The
applicability
of
computational
models
to
the
biological
world
is
an
active
topic
debate.
We
argue
that
a
useful
path
forward
results
from
abandoning
hard
boundaries
between
categories
and
adopting
observer-dependent,
pragmatic
view.
Such
view
dissolves
contingent
dichotomies
driven
by
human
cognitive
biases
(e.g.,
tendency
oversimplify)
prior
technological
limitations
in
favor
more
continuous
view,
necessitated
study
evolution,
developmental
biology,
intelligent
machines.
Form
function
are
tightly
entwined
nature,
some
cases,
robotics
as
well.
Thus,
efforts
re-shape
living
systems
for
biomedical
or
bioengineering
purposes
require
prediction
control
their
at
multiple
scales.
This
challenging
many
reasons,
one
which
perform
functions
same
place
time.
refer
this
“polycomputing”—the
ability
substrate
simultaneously
compute
different
things,
make
those
available
observers.
important
way
things
kind
computer,
but
not
familiar,
linear,
deterministic
kind;
rather,
computers
broad
sense
materials,
reported
rapidly
growing
physical
computing
literature.
observer-centered
framework
computations
performed
evolved
designed
will
improve
understanding
mesoscale
events,
it
has
already
done
quantum
relativistic
To
develop
our
how
life
performs
polycomputing,
can
be
convinced
alter
functions,
we
first
create
technologies
polycompute
learn
functions.
Here,
review
examples
idea
overloading
on
hardware
design
principle
helps
understand
build
both
systems.
Learning
hack
existing
polycomputing
substrates,
well
evolve
new
ones,
have
massive
impacts
regenerative
medicine,
robotics,
computer
engineering.
Annual Review of Biomedical Engineering,
Год журнала:
2024,
Номер
26(1), С. 223 - 245
Опубликована: Июль 3, 2024
The
impact
of
tissue
engineering
has
extended
beyond
a
traditional
focus
in
medicine
to
the
rapidly
growing
realm
biohybrid
robotics.
Leveraging
living
actuators
as
functional
components
machines
been
central
this
field,
generating
range
compelling
demonstrations
robots
capable
muscle-powered
swimming,
walking,
pumping,
gripping,
and
even
computation.
In
review,
we
highlight
key
advances
fabricating
tissue-scale
cardiac
skeletal
muscle
for
applications.
We
discuss
areas
future
growth
including
scalable
manufacturing,
integrated
feedback
control,
predictive
modeling
also
propose
methods
ensuring
inclusive
bioethics-focused
pedagogy
emerging
discipline.
hope
review
motivates
next
generation
biomedical
engineers
advance
rational
design
practical
use
applications
ranging
from
telesurgery
manufacturing
on-
off-world
exploration.
Entropy,
Год журнала:
2024,
Номер
26(6), С. 481 - 481
Опубликована: Май 31, 2024
Many
studies
on
memory
emphasize
the
material
substrate
and
mechanisms
by
which
data
can
be
stored
reliably
read
out.
Here,
I
focus
complementary
aspects:
need
for
agents
to
dynamically
reinterpret
modify
memories
suit
their
ever-changing
selves
environment.
Using
examples
from
developmental
biology,
evolution,
synthetic
bioengineering,
in
addition
neuroscience,
propose
that
a
perspective
as
preserving
salience,
not
fidelity,
is
applicable
many
phenomena
scales
cells
societies.
Continuous
commitment
creative,
adaptive
confabulation,
molecular
behavioral
levels,
answer
persistence
paradox
it
applies
individuals
whole
lineages.
also
speculate
substrate-independent,
processual
view
of
life
mind
suggests
memories,
patterns
excitable
medium
cognitive
systems,
could
seen
active
sense-making
process.
explore
diverse
set
embodied
perspectives—nested
who
interpret
each
other’s
own
past
messages
actions
best
they
(polycomputation).
This
synthesis
unifying
symmetries
across
disciplines,
relevance
research
programs
Diverse
Intelligence
engineering
novel
minds.
PLoS Computational Biology,
Год журнала:
2025,
Номер
21(4), С. e1012149 - e1012149
Опубликована: Апрель 14, 2025
A
central
challenge
in
the
progression
of
a
variety
open
questions
biology,
such
as
morphogenesis,
wound
healing,
and
development,
is
learning
from
empirical
data
how
information
integrated
to
support
tissue-level
function
behavior.
Information-theoretic
approaches
provide
quantitative
framework
for
extracting
patterns
data,
but
so
far
have
been
predominantly
applied
neuronal
systems
at
tissue-level.
Here,
we
demonstrate
time
series
Ca2
+
dynamics
can
be
used
identify
structure
other
biological
tissues.
To
this
end,
expressed
calcium
reporter
GCaMP6s
an
organoid
system
explanted
amphibian
epidermis
derived
African
clawed
frog
Xenopus
laevis
,
imaged
activity
pre-
post-
puncture
injury,
six
replicate
organoids.
We
constructed
functional
connectivity
networks
by
computing
mutual
between
cells
using
medical
imaging
techniques
track
intracellular
.
analyzed
network
properties
including
degree
distribution,
spatial
embedding,
modular
structure.
find
exhibit
potential
evidence
more
than
null
models,
with
our
models
displaying
high
hubs
mesoscale
community
clustering.
Utilizing
networks,
model
suggests
tissue
retains
non-random
features
after
displays
long
range
correlations
structure,
non-trivial
clustering
that
not
necessarily
spatially
dependent.
In
context
reconstruction
method
results
suggest
increased
integration
possible
cellular
coordination
response
some
type
generative
anatomy.
While
study
epidermal
cells,
computational
approach
analyses
highlight
methods
developed
analyze
tissues
generalized
any
fluorescent
signal
type.
discuss
expanded
improve
non-neuronal
processing
highlighting
bridge
neuroscience
basal
modes
processing.
This
review
motivates
and
synthesizes
research
efforts
in
neuroscience-inspired
artificial
intelligence
biomimetic
computing
terms
of
mortal
computation.
Specifically,
we
characterize
the
notion
mortality
by
recasting
ideas
biophysics,
cybernetics,
cognitive
science
a
theoretical
foundation
for
sentient
behavior.
We
frame
computation
thesis
through
Markov
blanket
formalism
circular
causality
entailed
inference,
learning,
selection.
The
ensuing
framework
--
underwritten
free
energy
principle
could
prove
useful
guiding
construction
unconventional
connectionist
computational
systems,
neuromorphic
intelligence,
chimeric
agents,
including
organoids,
which
stand
to
revolutionize
long-term
future
embodied,
enactive
cognition
research.
Abstract
By
focusing
on
biorobotics,
this
article
explores
the
epistemological
foundations
necessary
to
support
transition
from
biological
models
technological
artifacts.
To
address
transition,
I
analyze
position
of
German
philosopher
Thomas
Fuchs,
who
represents
one
possible
approach
problem
relationship
between
bio-inspired
technology
and
biology.
While
Fuchs
defends
idea
a
unique
ontological
space
for
humans,
contends
that
his
categorical
distinctions
face
challenges
in
establishing
robust
epistemic
foundation
ground
biology
technology.
After
identifying
at
least
three
interwoven
reasons
rejecting
Fuchs’
foundation,
ask
how,
through
what
methods,
by
means
which
practices
newly
object
is
accessed
shaped.
Expanding
philosophy
science
practice,
argue
plurality
answers
question
provides
within
different
frameworks
produce
object.
In
addressing
potential
pluralistically
grounding
ones,
my
helps
us:
(i)
concretize
examine
models,
(ii)
investigate
features
validity
objects,
effectively
offering
more
concrete
pluralistic
picture
sciences
technologies
are
they
can
(or
cannot)
do.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 27, 2025
Ciliated
biobots,
or
CiliaBots,
are
a
class
of
engineered
multicellular
tissues
that
capable
self-actuated
motility
propelled
by
the
motile
cilia
located
on
their
exterior
surface.
Correlations
have
been
observed
between
CiliaBot
patterns
and
morphology
distribution.
However,
precise
control
these
structural
parameters
to
generate
desired
predictably
remains
lacking.
Here,
we
developed
novel
Aggregated
(AggreBot)
platform
producing
designer
through
spatially
controlled
aggregation
epithelial
spheroids
made
from
human
airway
cells
(referred
as
Building
Blocks
CBBs),
yielding
AggreBots
with
configurable
geometry
distribution
active
cilia.
Guided
multi-CBB
led
production
rod-,
triangle-,
diamond-shaped
AggreBots,
which
consistently
effected
greater
than
traditional
single-spheroid
CiliaBots.
Furthermore,
CBBs
were
found
maintain
internal
boundaries
post-aggregation
combined
action
pathways
controlling
cellular
fluidity
tissue
polarity.
This
boundary
fidelity,
use
immotile
due
mutations
in
CCDC39
gene,
allowed
for
generation
hybrid
precision
over
coverage
cilia,
further
empowering
patterns.
Our
results
demonstrate
potential
self-propelling
biological
establishment
morphological
"levers"
alterations
can
be
theoretically
planned
experimentally
verified.