Current Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Animals
need
to
rapidly
learn
recognize
and
avoid
predators.
This
ability
may
be
especially
important
for
young
animals
due
their
increased
vulnerability.
It
is
unknown
whether,
how,
nascent
vertebrates
are
capable
of
such
rapid
learning.
Here,
we
used
a
robotic
predator-prey
interaction
assay
show
that
1
week
after
fertilization-a
developmental
stage
where
they
have
approximately
1%
the
number
neurons
adults-zebrafish
larvae
robustly
stationary
object
as
threat
pursues
fish
∼1
min.
Larvae
continue
threatening
it
stops
moving
can
distinguish
from
non-threatening
objects
different
color.
Whole-brain
functional
imaging
revealed
multi-timescale
activity
noradrenergic
forebrain
circuits
encoded
threat.
Chemogenetic
ablation
those
populations
prevented
Thus,
multiregional
network
underlies
potential
predators
within
first
life.
Nature,
Journal Year:
2022,
Volume and Issue:
608(7921), P. 146 - 152
Published: July 13, 2022
Abstract
Social
affiliation
emerges
from
individual-level
behavioural
rules
that
are
driven
by
conspecific
signals
1–5
.
Long-distance
attraction
and
short-distance
repulsion,
for
example,
jointly
set
a
preferred
interanimal
distance
in
swarms
6–8
However,
little
is
known
about
their
perceptual
mechanisms
executive
neural
circuits
3
Here
we
trace
the
neuronal
response
to
self-like
biological
motion
9,10
,
visual
trigger
developing
zebrafish
2,11
Unbiased
activity
mapping
targeted
volumetric
two-photon
calcium
imaging
revealed
21
hotspots
distributed
throughout
brain
as
well
clustered
biological-motion-tuned
neurons
multimodal,
socially
activated
nucleus
of
dorsal
thalamus.
Individual
thalamus
encode
local
acceleration
stimuli
mimicking
typical
fish
kinetics
but
insensitive
global
or
continuous
motion.
Electron
microscopic
reconstruction
synaptic
input
optic
tectum
projections
into
hypothalamic
areas
with
conserved
social
function
12–14
Ablation
selectively
disrupted
without
affecting
repulsion.
This
tectothalamic
pathway
thus
serves
recognition
conspecifics,
dissociates
control
repulsion
during
affiliation,
revealing
circuit
underpinning
collective
behaviour.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(17)
Published: April 17, 2024
Collective
motion
is
ubiquitous
in
nature;
groups
of
animals,
such
as
fish,
birds,
and
ungulates
appear
to
move
a
whole,
exhibiting
rich
behavioral
repertoire
that
ranges
from
directed
movement
milling
disordered
swarming.
Typically,
macroscopic
patterns
arise
decentralized,
local
interactions
among
constituent
components
(e.g.,
individual
fish
school).
Preeminent
models
this
process
describe
individuals
self-propelled
particles,
subject
self-generated
“social
forces”
short-range
repulsion
long-range
attraction
or
alignment.
However,
organisms
are
not
particles;
they
probabilistic
decision-makers.
Here,
we
introduce
an
approach
modeling
collective
behavior
based
on
active
inference.
This
cognitive
framework
casts
the
consequence
single
imperative:
minimize
surprise.
We
demonstrate
many
empirically
observed
phenomena,
including
cohesion,
milling,
motion,
emerge
naturally
when
considering
driven
by
Bayesian
inference—without
explicitly
building
rules
goals
into
agents.
Furthermore,
show
inference
can
recover
generalize
classical
notion
social
forces
agents
attempt
suppress
prediction
errors
conflict
with
their
expectations.
By
exploring
parameter
space
belief-based
model,
reveal
nontrivial
relationships
between
beliefs
group
properties
like
polarization
tendency
visit
different
states.
also
explore
how
about
uncertainty
determine
decision-making
accuracy.
Finally,
update
generative
model
over
time,
resulting
collectively
more
sensitive
external
fluctuations
encode
information
robustly.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 8, 2024
The
complex
neuronal
circuitry
of
the
brain
develops
from
limited
information
contained
in
genome.
After
genetic
code
instructs
birth
neurons,
emergence
regions,
and
formation
axon
tracts,
it
is
believed
that
temporally
structured
spiking
activity
shapes
circuits
for
behavior.
Here,
we
challenge
learning-dominated
assumption
required
circuit
by
quantifying
its
contribution
to
development
visually-guided
swimming
larval
zebrafish.
We
found
visual
experience
had
no
effect
on
optomotor
response
(OMR)
dark-reared
then
raised
animals
while
pharmacologically
silencing
action
potentials
with
sodium
channel
blocker
tricaine.
washout
anesthetic,
fish
could
swim
performed
75-90%
accuracy
OMR
paradigm.
Brain-wide
imaging
confirmed
came
'online'
fully
tuned,
without
requiring
activity-dependent
plasticity.
Thus,
sensory-guided
behaviors
can
emerge
through
activity-independent
developmental
mechanisms.
Current Biology,
Journal Year:
2024,
Volume and Issue:
34(15), P. 3380 - 3391.e5
Published: July 17, 2024
The
collective
behavior
of
animal
groups
emerges
from
the
interactions
among
individuals.
These
social
produce
coordinated
movements
bird
flocks
and
fish
schools,
but
little
is
known
about
their
developmental
emergence
neurobiological
foundations.
By
characterizing
visually
based
schooling
micro
glassfish
Danionella
cerebrum,
we
found
that
development
progresses
sequentially,
with
animals
first
acquiring
ability
to
aggregate,
followed
by
postural
alignment
partners.
This
maturation
was
accompanied
neural
populations
in
midbrain
were
preferentially
driven
visual
stimuli
resemble
shape
fish.
Furthermore,
isolation
over
course
impaired
both
encoding
motion
adults.
work
demonstrates
selective
for
form
conspecifics
emerge
experience-dependent
movement.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: May 11, 2022
Abstract
Animal
brains
have
evolved
to
encode
social
stimuli
and
transform
these
representations
into
advantageous
behavioral
responses.
The
commonalities
differences
of
across
species
are
not
well-understood.
Here,
we
show
that
isolation
activates
an
oxytocinergic
(OXT),
nociceptive
circuit
in
the
larval
zebrafish
hypothalamus
chemical
cues
released
from
conspecific
animals
potent
modulators
this
circuit’s
activity.
We
delineate
olfactory
subpallial
pathway
transmits
OXT
circuitry,
where
they
transformed
diverse
outputs
simultaneously
regulating
avoidance
feeding
behaviors.
Our
data
allow
us
propose
a
model
through
which
integrated
within
fundamental
neural
mediate
adaptive
behaviours.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2023,
Volume and Issue:
290(1991)
Published: Jan. 18, 2023
Collectively
moving
groups
of
animals
rely
on
the
decision-making
locally
interacting
individuals
in
order
to
maintain
swarm
cohesion.
However,
complex
and
noisy
visual
environment
poses
a
major
challenge
extraction
processing
relevant
information.
We
addressed
this
by
studying
swarming-related
desert
locust
last-instar
nymphs.
Controlled
stimuli,
form
random
dot
kinematograms,
were
presented
tethered
nymphs
trackball
set-up,
while
monitoring
movement
trajectory
walking
parameters.
In
complementary
set
experiments,
neurophysiological
basis
observed
behavioural
responses
was
explored.
Our
results
suggest
that
locusts
use
filtering
discrimination
upon
encountering
multiple
stimuli
simultaneously.
Specifically,
we
show
are
sensitive
differences
speed
at
individual
conspecific
level,
coherence
group
may
these
filter
out
non-relevant
stimuli.
The
also
discriminate
assign
different
weights
with
an
interactive
effect
stimulus
size,
relative
abundance
motion
direction.
findings
provide
insights
into
cognitive
abilities
domain
visual-based
collective
motion,
support
as
model
for
investigating
sensory-motor
integration
motion-related
intricate
environment.
Frontiers in Molecular Neuroscience,
Journal Year:
2024,
Volume and Issue:
17
Published: March 12, 2024
The
zebrafish
(
Danio
rerio
)
is
increasingly
used
in
neuroscience
research.
Zebrafish
are
relatively
easy
to
maintain,
and
their
high
fecundity
makes
them
suitable
for
high-throughput
experiments.
Their
small,
transparent
embryos
larvae
allow
microscopic
imaging
of
the
developing
brain.
also
share
a
degree
genetic
similarity
with
humans,
amenable
manipulation
techniques,
such
as
gene
knockdown,
knockout,
or
knock-in,
which
allows
researchers
study
role
specific
genes
relevant
human
brain
development,
function,
disease.
can
serve
model
behavioral
studies,
including
locomotion,
learning,
social
interactions.
In
this
review,
we
present
state-of-the-art
methods
function
zebrafish,
tools
labeling
single
neurons
neuronal
circuits,
live
neural
activity,
synaptic
dynamics
protein
interactions
brain,
optogenetic
manipulation,
use
virtual
reality
technology
testing.
We
highlight
potential
research,
especially
regarding
genetic-based
disorders
discuss
its
certain
limitations
model.
Nature,
with
its
numerous
surprising
rules,
serves
as
a
rich
source
of
creativity
for
the
development
artificial
intelligence,
inspiring
researchers
to
create
several
nature-inspired
intelligent
computing
paradigms
based
on
natural
mechanisms.
Over
past
decades,
these
have
revealed
effective
and
flexible
solutions
practical
complex
problems.
This
paper
summarizes
mechanisms
diverse
advanced
paradigms,
which
provide
valuable
lessons
building
general-purpose
machines
capable
adapting
environment
autonomously.
According
mechanisms,
we
classify
into
4
types:
evolutionary-based,
biological-based,
social-cultural-based,
science-based.
Moreover,
this
also
illustrates
interrelationship
between
well
their
real-world
applications,
offering
comprehensive
algorithmic
foundation
mitigating
unreasonable
metaphors.
Finally,
detailed
analysis
challenges
current
promising
future
research
directions
are
presented.