Over
the
last
decades,
interdisciplinary
field
of
affective
sciences
has
seen
proliferation
rather
than
integration
theoretical
perspectives.
This
is
due
to
differences
in
metaphysical
and
mechanistic
assumptions
about
human
phenomena
(what
they
are
how
work)
which,
shaped
by
academic
motivations
values,
have
determined
constructs
operationalizations.
An
assumption
on
purpose
phenomenacan
be
used
as
a
teleological
principle
guide
construction
common
set
assumptions—a
framework
for
research.
In
this
capstone
paper
special
issue
“Towards
an
Integrated
Understanding
Human
Affectome”,
we
gather
tiered
synthesize
that
account
phenomenacollectively.
teleologically-grounded
offers
principled
agenda
launchpad
both
organizing
existing
perspectives
generating
new
ones.
Ultimately,
hope
Affectome
brings
us
step
closer
not
only
integrated
understanding
phenomena,
but
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 4, 2024
Abstract
Suggestions
about
hunger
can
generate
placebo
effects
on
experiences.
But,
the
underlying
neurocognitive
mechanisms
are
unknown.
Here,
we
show
in
255
women
that
expectancies,
induced
by
suggestion-based
interventions,
determine
sensations
and
economic
food
choices.
Functional
magnetic
resonance
imaging
a
subgroup
(
n
=
57/255)
provides
evidence
strength
of
expecting
to
decrease
moderates
medial
prefrontal
cortex
activation
at
time
choice
attenuates
ventromedial
(vmPFC)
responses
value.
Dorsolateral
linked
interference
resolution
formally
mediates
hunger.
A
drift-diffusion
model
characterizes
this
effect
showing
suggestions
bias
participants’
choices
how
much
they
weigh
tastiness
against
healthiness
food,
which
further
vmPFC–dlPFC
psychophysiological
interactions
when
participants
expect
decreased
Thus,
suggestion-induced
beliefs
shape
addressing
through
cognitive
regulation
value
computation
within
cortex.
A
fundamental
property
of
sensory
systems
is
their
ability
to
detect
novel
stimuli
in
the
ambient
environment.
The
auditory
brain
contains
neurons
that
decrease
response
repetitive
sounds
but
increase
firing
rate
or
deviant
stimuli;
difference
between
both
responses
known
as
stimulus-specific
adaptation
neuronal
mismatch
(nMM).
Here,
we
tested
effect
microiontophoretic
applications
ACh
on
cortex
(AC)
anesthetized
rats
during
an
oddball
paradigm,
including
cascade
controls.
Results
indicate
modulates
nMM,
affecting
prediction
error
not
repetition
suppression,
and
this
manifested
predominantly
infragranular
cortical
layers.
differential
standards,
relative
deviants
(in
terms
averages
variances),
was
consistent
with
representational
sharpening
accompanies
precision
errors.
These
findings
suggest
plays
important
role
modulating
signaling
AC
gating
access
these
signals
higher
cognitive
levels.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2023,
Volume and Issue:
155, P. 105459 - 105459
Published: Nov. 11, 2023
Bettinger,
J.
S.,
K.
Friston.
Conceptual
Foundations
of
Physiological
Regulation
incorporating
the
Free
Energy
Principle
&
Self-Organized
Criticality.
NEUROSCI
BIOBEHAV
REV
23(x)
144-XXX,
2022.
Since
late
nineteen-nineties,
concept
homeostasis
has
been
contextualized
within
a
broader
class
"allostatic"
dynamics
characterized
by
wider-berth
causal
factors
including
social,
psychological
and
environmental
entailments;
fundamental
nature
integrated
brain-body
dynamics;
plus
role
anticipatory,
top-down
constraints
supplied
intrinsic
regulatory
models.
Many
these
evidentiary
are
integral
in
original
descriptions
homeostasis;
subsequently
integrated;
and/or
cite
more-general
operating
principles
self-organization.
As
result,
allostasis
may
be
generalized
to
larger
category
variational
systems
biology,
engineering
physics
terms
advances
complex
systems,
statistical
mechanics
involving
heterogenous
(hierarchical/heterarchical,
modular)
like
brain-networks
internal
milieu.
This
paper
offers
three-part
treatment.
1)
interpret
"allostasis"
emphasize
relational
foundation
physiological
stability;
2)
adapt
as
"stability
through
change"
include
"return
stability"
3)
reframe
model
with
conceptual
criticality
that
licenses
upgrade
dynamics.
Entropy,
Journal Year:
2025,
Volume and Issue:
27(2), P. 143 - 143
Published: Feb. 1, 2025
Active
inference
under
the
Free
Energy
Principle
has
been
proposed
as
an
across-scales
compatible
framework
for
understanding
and
modelling
behaviour
self-maintenance.
Crucially,
a
collective
of
active
agents
can,
if
they
maintain
group-level
Markov
blanket,
constitute
larger
agent
with
generative
model
its
own.
This
potential
computational
scale-free
structures
speaks
to
application
self-organizing
systems
across
spatiotemporal
scales,
from
cells
human
collectives.
Due
difficulty
reconstructing
that
explains
emergent
agents,
there
little
research
on
this
kind
multi-scale
inference.
Here,
we
propose
data-driven
methodology
characterising
relation
between
dynamics
constituent
individual
agents.
We
apply
methods
cognitive
psychiatry,
applicable
well
other
types
approaches.
Using
simple
Multi-Armed
Bandit
task
example,
employ
new
ActiveInference.jl
library
Julia
simulate
who
are
equipped
blanket.
use
sampling-based
parameter
estimation
make
inferences
about
agent,
show
is
non-trivial
relationship
models
constitute,
even
in
setting.
Finally,
point
number
ways
which
might
be
applied
better
understand
relations
nested
scales.
Molecular Aspects of Medicine,
Journal Year:
2025,
Volume and Issue:
103, P. 101362 - 101362
Published: April 23, 2025
Molecules
provide
the
ultimate
language
in
terms
of
which
physiology
and
pathology
must
be
understood.
Myriads
proteins
participate
elaborate
networks
interactions
perform
chemical
activities
coordinating
life
cells.
To
these
often
amazing
tasks,
move
we
think
them
as
dynamic
ensembles
three
dimensional
structures
formed
first
by
folding
polypeptide
chains
so
to
minimize
conflicts
between
their
constituent
amino
acids.
It
is
apparent
however
that,
even
when
completely
folded,
not
all
conflicting
have
been
resolved
structure
remains
"locally
frustrated".
Over
last
decades
it
has
become
clearer
that
this
local
frustration
just
a
random
accident
but
plays
an
essential
part
inner
workings
protein
molecules.
We
will
review
here
physical
origins
concept
evidence
important
for
physiology,
protein-protein
recognition,
catalysis
allostery.
Also,
highlight
examples
showing
how
alterations
patterns
can
linked
distinct
pathologies.
Finally
explore
extensions
impact
higher
order
levels
organization
systems
including
gene
regulatory
neural
brain.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 19, 2025
Abstract
How
individuals
process
and
respond
to
uncertainty
has
important
implications
for
cognition
mental
health.
Here
we
use
computational
phenotyping
examine
individualised
“uncertainty
fingerprints”
in
relation
neurometabolites
trait
anxiety
humans.
We
introduce
a
novel
categorical
state-transition
extension
of
the
Hierarchical
Gaussian
Filter
(HGF)
capture
implicit
learning
four-choice
probabilistic
sensorimotor
reversal
task
by
tracking
beliefs
about
stimulus
transitions.
Using
7-Tesla
Magnetic
Resonance
Spectroscopy,
measured
baseline
neurotransmitter
levels
primary
motor
cortex
(M1).
Model-based
results
revealed
dynamic
belief
updating
response
environmental
changes.
further
found
region-specific
relationships
between
M1
glutamate+
glutamine
prediction
errors
volatility
beliefs,
revealing
an
neural
marker
High
was
associated
with
faster
post-reversal
responses.
By
integrating
modelling
neurochemical
assessments,
this
study
provides
insights
into
neurocomputations
that
drive
individual
differences
processing
uncertainty.
Annals of the New York Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 28, 2025
Abstract
Human
regulatory
systems
largely
evolved
under
conditions
of
food
and
information
scarcity
but
are
now
being
forced
to
deal
with
abundance.
The
impact
abundance
the
inability
human
adapt
it
have
fed
a
surge
in
dual
health
challenges:
(1)
rise
obesity
related
(2)
stress
anxiety
No
single
framework
has
been
developed
describe
why
how
transition
from
so
challenging.
Here,
we
provide
speculative
model
based
on
predictive
processing.
We
suggest
that
whereas
(above
destructive
lower
bounds
like
famine
or
voids)
preserves
fidelity
relationship
between
prediction
errors
predictions,
distorts
this
relationship.
Furthermore,
error
minimization
is
enhanced
(as
number
competing
states
niche
restricted),
opposite
true
also
discuss
warps
fundamental
drive
for
seeking
novelty
by
fueling
brain's
exploration
opposed
exploitation)
mode.
Ameliorative
strategies
regulating
may
depend
simulating
scarcity,
environmental
condition
which
adapted
over
millennia.