Endogenous
bioelectrical
patterns
are
an
important
regulator
of
anatomical
pattern
during
embryogenesis,
regeneration,
and
cancer.
While
there
three
known
classes
instructive
bioelectric
patterns:
directly
encoding,
indirectly
binary
trigger,
it
is
not
how
these
design
principles
could
be
exploited
by
evolution
what
their
relative
advantages
might
be.
To
better
understand
the
evolutionary
role
bioelectricity
in
homeostasis,
we
developed
a
neural
cellular
automaton
(NCA).
We
used
algorithms
to
optimize
models
achieve
reliable
morphogenetic
driven
different
ways
which
tissues
can
interpret
for
downstream
outcomes.
found
that:
(1)
All
types
codes
allow
reaching
target
morphologies;
(2)
Resetting
change
duration
trigger
alter
morphogenesis;
(3)
Direct
organisms
show
emergent
robustness
changes
initial
configurations;
(4)
Indirect
perturbation;
(5)
indirect
generalizability
competency
new
(rotated)
patterns;
(6)
repatterning
post-developmental-phase.
Because
our
simulation
was
fundamentally
homeostatic
system
seeking
specific
goals
state
space,
sought
anxiolytics
that
reduced
concern
over
distance
those
goals.
simulated
selective
serotonin
reuptake
inhibitors,
diminished
ability
artificial
embryos
correctly
due
altered
organismal
reward
machinery,
leading
higher
variance
developmental
outcomes,
global
morphological
degradation,
induced
some
bistability.
These
computational
findings
were
validated
data
collected
from
vivo
experiments
SSRI
exposure
planarian
flatworm
regeneration.
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.
Entropy,
Год журнала:
2024,
Номер
26(3), С. 194 - 194
Опубликована: Фев. 24, 2024
The
ideas
of
self-observation
and
self-representation,
the
concomitant
idea
self-control,
pervade
both
cognitive
life
sciences,
arising
in
domains
as
diverse
immunology
robotics.
Here,
we
ask
a
very
general
way
whether,
to
what
extent,
these
make
sense.
Using
generic
model
physical
interactions,
prove
theorem
several
corollaries
that
severely
restrict
applicable
notions
self-observation,
self-control.
We
show,
particular,
adding
observational,
representational,
or
control
capabilities
meta-level
component
system
cannot,
even
principle,
lead
complete
representation
whole.
conclude
self-representation
can
at
best
be
heuristic,
self
models
general,
empirically
tested
by
systems
implement
them.
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.
Communicative & Integrative Biology,
Год журнала:
2025,
Номер
18(1)
Опубликована: Фев. 17, 2025
We
argue
here
that
the
Origin
of
Life
(OOL)
problem
is
not
just
a
chemistry
but
also,
and
primarily,
cognitive
science
problem.
When
interpreted
through
lens
Conway-Kochen
theorem
Free
Energy
Principle,
contemporary
physics
characterizes
all
complex
dynamical
systems
persist
time
as
Bayesian
agents.
If
persistent
are
to
some
–
perhaps
only
minimal
extent
cognitive,
alive,
or
living
subset
systems?
no
bright
line
can
be
drawn,
we
re-assess,
from
this
perspective,
Fermi
paradox
Drake
equation.
conclude
improving
our
abilities
recognize
communicate
with
diverse
intelligences
in
embodiments,
whether
based
on
familiar
biochemistry
not,
will
either
resolve
obviate
OOL
Advanced Intelligent Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 29, 2025
Recent
discussions
and
debate
around
artificial
intelligence
(AI)
its
status
are
notably
incomplete,
missing
the
implications
of
highly
relevant
aspects
emerging
fields
diverse
(DI)
synthetic
morphology,
as
well
basic
facts
developmental
biology.
Herein,
it
is
argued
that
human
flourishing
impossible
without
an
appreciation
space
possible
beings
ways
in
which
today's
intelligent
machine
debates
about
universal
existential
questions
facing
biological
beings,
not
just
AI.
The
inevitable
arrival
a
wide
set
unconventional
bodies
minds
humans
modify
create
new
forms
will
disrupt
untenable
old
narratives
what
people
how
to
recognize
their
sentient
allies
unfamiliar
guises.
issues
engendered
by
advent
AI
from
perspective
field
DI
evolutionary
history
discussed.
Trends in Pharmacological Sciences,
Год журнала:
2024,
Номер
45(5), С. 391 - 394
Опубликована: Апрель 18, 2024
Electroceuticals
have
evolved
beyond
devices
manipulating
neuronal
signaling
for
symptomatic
treatment,
becoming
more
precise
and
disease
modulating
expanding
the
nervous
system.
These
advancements
promise
transformative
applications
in
arthritis,
cancer
tissue
regeneration,
more.
Here,
we
discuss
these
recent
advances
offer
insights
future
research.
Biomaterials Science,
Год журнала:
2024,
Номер
12(9), С. 2180 - 2202
Опубликована: Янв. 1, 2024
Electrical
activity
underpins
all
life,
but
is
most
familiar
in
the
nervous
system,
where
long
range
electrical
signalling
essential
for
function.
When
this
lost
(
Many
applications
in
biomedicine
and
synthetic
bioengineering
rely
on
understanding,
mapping,
predicting,
controlling
the
complex
behavior
of
chemical
genetic
networks.
The
emerging
field
diverse
intelligence
investigates
problem-solving
capacities
unconventional
agents.
However,
few
quantitative
tools
exist
for
exploring
competencies
non-conventional
systems.
Here,
we
view
gene
regulatory
networks
(GRNs)
as
agents
navigating
a
problem
space
develop
automated
to
map
robust
goal
states
GRNs
can
reach
despite
perturbations.
Our
contributions
include:
(1)
Adapting
curiosity-driven
exploration
algorithms
from
AI
discover
range
reachable
GRNs,
(2)
Proposing
empirical
tests
inspired
by
behaviorist
approaches
assess
their
navigation
competencies.
data
shows
that
models
inferred
biological
wide
spectrum
steady
states,
exhibiting
various
physiological
network
dynamics
without
requiring
structural
changes
properties
or
connectivity.
We
also
explore
applicability
these
‘behavioral
catalogs’
comparing
evolved
across
networks,
designing
drug
interventions
biomedical
contexts
bioengineering.
These
emphasis
behavior-shaping
open
new
paths
efficiently
For
interactive
version
this
paper,
please
visit
https://developmentalsystems.org/curious-exploration-of-grn-competencies
.
Biochemical and Biophysical Research Communications,
Год журнала:
2024,
Номер
731, С. 150396 - 150396
Опубликована: Июль 14, 2024
Individual
cells
have
numerous
competencies
in
physiological
and
metabolic
spaces.
However,
multicellular
collectives
can
reliably
navigate
anatomical
morphospace
towards
much
larger,
reliable
endpoints.
Understanding
the
robustness
control
properties
of
this
process
is
critical
for
evolutionary
developmental
biology,
bioengineering,
regenerative
medicine.
One
mechanism
that
has
been
proposed
enabling
individual
to
coordinate
toward
specific
morphological
outcomes
sharing
stress
(where
a
parameter
reflects
current
amount
error
context
homeostatic
loop).
Here,
we
construct
analyze
multiscale
agent-based
model
morphogenesis
which
quantitatively
examine
impact
on
ability
reach
target
morphology.
We
found
improves
morphogenetic
efficiency
collectives;
populations
with
reached
targets
faster.
Moreover,
influenced
future
fate
distant
multi-cellular
collective,
enhancing
cells'
movement
their
radius
influence,
consistent
hypothesis
works
increase
cohesiveness
collectives.
During
development,
goal
states
could
not
be
inferred
from
observation
states,
revealing
limitations
knowledge
goals
by
an
extern
observer
outside
system
itself.
Taken
together,
our
analyses
support
important
role
natural
engineered
systems
seek
robust
large-scale
behaviors
emerge
activity
competent
components.