Journal of Cognitive Enhancement,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 9, 2024
Abstract
This
article
argues
that
understanding
the
primary
functions
of
cognitive
processes
in
our
evolutionary
past
can
help
to
develop
effective
enhancement
methods.
The
adaptive
problems
ancestors
faced
forged
interconnected
and
motor
mechanisms
supporting
various
movement-based
problem-solving
processes.
However,
physical
social
challenges
these
cognitive-motor
capacities
originally
evolved
address
are
no
longer
prevalent
modern
societies.
Consequently,
many
linked
a
wide
range
body
movements
often
underused
insufficiently
developed
contexts,
contributing
age-related
decline.
From
this
view,
considering
current
techniques
such
as
training,
neurostimulation,
exercise,
combined
present
introduces
an
evolutionary-inspired
framework.
framework
advocates
for
developing
strategies
training
methods
stimulate
adaptations.
In
particular,
therapeutic
interventions
should
incorporate
whole-body
movement
solutions
into
technologies
computer-based
tasks.
Communications Biology,
Год журнала:
2023,
Номер
6(1)
Опубликована: Июнь 13, 2023
Fossil
endocasts
record
features
of
brains
from
the
past:
size,
shape,
vasculature,
and
gyrification.
These
data,
alongside
experimental
comparative
evidence,
are
needed
to
resolve
questions
about
brain
energetics,
cognitive
specializations,
developmental
plasticity.
Through
application
interdisciplinary
techniques
fossil
record,
paleoneurology
has
been
leading
major
innovations.
Neuroimaging
is
shedding
light
on
organization
behaviors.
Inferences
development
physiology
extinct
species
can
be
experimentally
investigated
through
organoids
transgenic
models
based
ancient
DNA.
Phylogenetic
methods
integrate
data
across
associate
genotypes
phenotypes,
Meanwhile,
archeological
discoveries
continuously
contribute
new
knowledge.
cooperation,
scientific
community
accelerate
knowledge
acquisition.
Sharing
digitized
museum
collections
improves
availability
rare
fossils
artifacts.
Comparative
neuroanatomical
available
online
databases,
along
with
tools
for
their
measurement
analysis.
In
context
these
advances,
paleoneurological
provides
ample
opportunity
future
research.
Biomedical
ecological
sciences
benefit
paleoneurology's
approach
understanding
mind
as
well
its
novel
research
pipelines
that
establish
connections
between
neuroanatomy,
genes
behavior.
Cortex,
Год журнала:
2024,
Номер
173, С. 175 - 186
Опубликована: Фев. 15, 2024
The
amygdala
and
cerebellum
are
both
evolutionary
preserved
brain
structures
containing
cortical
as
well
subcortical
properties.
For
decades,
the
has
been
considered
fear-center
of
brain,
but
recent
advances
have
shown
that
acts
a
critical
hub
between
systems
shapes
social
affective
behaviors
beyond
fear.
Likewise,
is
dedicated
control
unit
fine-tunes
motor
behavior
to
fit
contextual
requirements.
There
however
increasing
evidence
strongly
influences
processes
domain.
These
insights
broadened
view
on
cerebellum's
functions
also
include
behavior.
Here
we
explore
how
might
interact
in
shaping
based
their
roles
threat
reactivity
reinforcement
learning.
A
novel
mechanistic
neural
framework
cerebellum-amygdala
interactions
will
be
presented
which
provides
for
testable
hypotheses
future
neuroscientific
research
humans.
The
process
of
brain
folding
is
thought
to
play
an
important
role
in
the
development
and
organisation
cerebrum
cerebellum.
study
cerebellar
challenging
due
small
size
abundance
its
folia.
In
consequence,
little
known
about
anatomical
diversity
evolution.
We
constituted
open
collection
histological
data
from
56
mammalian
species
manually
segmented
developed
methods
measure
geometry
folia
estimate
thickness
molecular
layer.
used
phylogenetic
comparative
evolution
relationship
with
anatomy
cerebrum.
Our
results
show
that
cerebral
follows
a
stabilising
selection
process.
observed
two
groups
phenotypes
changing
concertedly
through
evolution:
group
'diverse'
-
varying
over
several
orders
magnitude
together
body
size,
'stable'
less
than
1
order
across
species.
analyses
confirmed
strong
correlation
between
volumes
species,
showed
addition
large
cerebella
are
disproportionately
more
folded
smaller
ones.
Compared
extreme
variations
surface
area,
folial
layer
varied
only
slightly,
showing
much
increase
larger
cerebella.
discuss
how
these
findings
could
provide
new
insights
into
folding,
mechanisms
their
potential
influence
on
Purkinje
cell
(PC)
dendrites
are
optimized
to
integrate
the
vast
cerebellar
input
array
and
drive
sole
cortical
output.
PCs
classically
seen
as
stereotypical
computational
units,
yet
mouse
morphologically
diverse
those
with
multi-branched
structure
can
receive
non-canonical
climbing
fiber
(CF)
multi-innervation
that
confers
independent
compartment-specific
signaling.
While
otherwise
uncharacterized,
human
universally
multi-branched.
Do
they
exceed
allometry
achieve
enhanced
integrative
capacities
relative
PCs?
To
answer
this,
we
used
several
comparative
histology
techniques
in
adult
analyze
cellular
morphology,
parallel
(PF)
CF
arrangement,
regional
PC
demographics.
Human
substantially
larger
than
previously
described;
allometric
constraint
by
thickness
largest
neuron
brain
6-7cm
total
dendritic
length.
Unlike
mouse,
ramify
horizontally
form
a
multi-compartment
motif
show
multiple
CFs.
spines
denser
(6.9
vs
4.9
spines/μm),
(∼0.36
0.29μm),
include
an
unreported
‘spine
cluster’
structure—features
may
be
congruent
PF
association
amplification
human-specific
adaptations.
By
extrapolation,
500,000
1
million
synaptic
inputs
compared
30-40,000
mouse.
Collectively,
morphology
arrangement
is
quantitatively
qualitatively
distinct
from
rodent.
Multi-branched
more
prevalent
posterior
lateral
cerebellum,
co-varying
functional
boundaries,
supporting
hypothesis
this
morphological
permits
expanded
multiplexing
subserve
task-dependent
needs
for
association.
Purkinje
cell
(PC)
dendrites
are
optimized
to
integrate
the
vast
cerebellar
input
array
and
drive
sole
cortical
output.
PCs
classically
seen
as
stereotypical
computational
units,
yet
mouse
morphologically
diverse
those
with
multi-branched
structure
can
receive
non-canonical
climbing
fiber
(CF)
multi-innervation
that
confers
independent
compartment-specific
signaling.
While
otherwise
uncharacterized,
human
universally
multi-branched.
Do
they
exceed
allometry
achieve
enhanced
integrative
capacities
relative
PCs?
To
answer
this,
we
used
several
comparative
histology
techniques
in
adult
analyze
cellular
morphology,
parallel
(PF)
CF
arrangement,
regional
PC
demographics.
Human
substantially
larger
than
previously
described;
allometric
constraint
by
thickness
largest
neuron
brain
6-7cm
total
dendritic
length.
Unlike
mouse,
ramify
horizontally
form
a
multi-compartment
motif
show
multiple
CFs.
spines
denser
(6.9
vs
4.9
spines/μm),
(∼0.36
0.29μm),
include
an
unreported
‘spine
cluster’
structure—features
may
be
congruent
PF
association
amplification
human-specific
adaptations.
By
extrapolation,
500,000
1
million
synaptic
inputs
compared
30-40,000
mouse.
Collectively,
morphology
arrangement
is
quantitatively
qualitatively
distinct
from
rodent.
Multi-branched
more
prevalent
posterior
lateral
cerebellum,
co-varying
functional
boundaries,
supporting
hypothesis
this
morphological
permits
expanded
multiplexing
subserve
task-dependent
needs
for
association.
Purkinje
cell
(PC)
dendrites
are
optimized
to
integrate
the
vast
cerebellar
input
array
and
drive
sole
cortical
output.
PCs
classically
seen
as
stereotypical
computational
units,
yet
mouse
morphologically
diverse
those
with
multi-branched
structure
can
receive
non-canonical
climbing
fiber
(CF)
multi-innervation
that
confers
independent
compartment-specific
signaling.
While
otherwise
uncharacterized,
human
universally
multi-branched.
Do
they
exceed
allometry
achieve
enhanced
integrative
capacities
relative
PCs?
To
answer
this,
we
used
several
comparative
histology
techniques
in
adult
analyze
cellular
morphology,
parallel
(PF)
CF
arrangement,
regional
PC
demographics.
Human
substantially
larger
than
previously
described;
allometric
constraint
by
thickness
largest
neuron
brain
6-7cm
total
dendritic
length.
Unlike
mouse,
ramify
horizontally
form
a
multi-compartment
motif
show
multiple
CFs.
spines
denser
(6.9
vs
4.9
spines/μm),
(∼0.36
0.29μm),
include
an
unreported
‘spine
cluster’
structure—features
may
be
congruent
PF
association
amplification
human-specific
adaptations.
By
extrapolation,
500,000
1
million
synaptic
inputs
compared
30-40,000
mouse.
Collectively,
morphology
arrangement
is
quantitatively
qualitatively
distinct
from
rodent.
Multi-branched
more
prevalent
posterior
lateral
cerebellum,
co-varying
functional
boundaries,
supporting
hypothesis
this
morphological
permits
expanded
multiplexing
subserve
task-dependent
needs
for
association.
Purkinje
cell
(PC)
dendrites
are
optimized
to
integrate
the
vast
cerebellar
input
array
and
drive
sole
cortical
output.
PCs
classically
seen
as
stereotypical
computational
units,
yet
mouse
morphologically
diverse
those
with
multi-branched
structure
can
receive
non-canonical
climbing
fiber
(CF)
multi-innervation
that
confers
independent
compartment-specific
signaling.
While
otherwise
uncharacterized,
human
universally
multi-branched.
Do
they
exceed
allometry
achieve
enhanced
integrative
capacities
relative
PCs?
To
answer
this,
we
used
several
comparative
histology
techniques
in
adult
analyze
cellular
morphology,
parallel
(PF)
CF
arrangement,
regional
PC
demographics.
Human
substantially
larger
than
previously
described;
allometric
constraint
by
thickness
largest
neuron
brain
6–7
cm
total
dendritic
length.
Unlike
mouse,
ramify
horizontally
form
a
multi-compartment
motif
show
multiple
CFs.
spines
denser
(6.9
vs
4.9
spines/μm),
(~0.36
0.29
μm),
include
an
unreported
‘spine
cluster’
structure—features
may
be
congruent
PF
association
amplification
human-specific
adaptations.
By
extrapolation,
500,000
1
million
synaptic
inputs
compared
30–40,000
mouse.
Collectively,
morphology
arrangement
is
quantitatively
qualitatively
distinct
from
rodent.
Multi-branched
more
prevalent
posterior
lateral
cerebellum,
co-varying
functional
boundaries,
supporting
hypothesis
this
morphological
permits
expanded
multiplexing
subserve
task-dependent
needs
for
association.
Neural Networks,
Год журнала:
2025,
Номер
188, С. 107538 - 107538
Опубликована: Апрель 23, 2025
Linking
cellular-level
phenomena
to
brain
architecture
and
behavior
is
a
holy
grail
for
theoretical
computational
neuroscience.
Advances
in
neuroinformatics
have
recently
allowed
scientists
embed
spiking
neural
networks
of
the
cerebellum
with
realistic
neuron
models
multiple
synaptic
plasticity
rules
into
sensorimotor
controllers.
By
minimizing
distance
(error)
between
desired
actual
sensory
state,
exploiting
prediction,
cerebellar
network
acquires
knowledge
about
body-environment
interaction
generates
corrective
signals.
In
doing
so,
implements
generalized
algorithm,
allowing
it
"to
learn
predict
timing
correlated
events"
rich
set
behavioral
contexts.
Plastic
changes
evolve
trial
by
are
distributed
over
synapses,
regulating
neuronal
discharge
fine-tuning
high-speed
movements
on
millisecond
timescale.
Thus,
built-in
controllers,
among
various
approaches
studying
function,
helping
reveal
substrates
learning
signal
coding,
opening
new
frontiers
predictive
computing
autonomous
robots.