bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Nov. 29, 2022
Abstract
Humans
and
animals
can
remember
how
long
ago
specific
events
happened.
In
contrast
to
interval-timing
on
the
order
of
seconds
minutes,
little
is
known
about
neural
mechanisms
that
enable
remembering
“when”
autobiographical
memories
stored
in
episodic
memory
system.
Based
a
systematic
exploration
coding,
association
retrieval
schemes,
we
develop
family
hypotheses
reconstruction
time
past
events,
consistent
with
Hebbian
plasticity
networks.
We
compare
several
plausible
candidate
mechanism
simulated
experiments
and,
propose
combined
behavioral
physiological
be
used
pin
down
actual
implementation
for
events.
Hippocampus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 2, 2024
Abstract
A
key
question
for
understanding
the
function
of
hippocampus
in
memory
is
how
information
recalled
from
to
neocortex.
This
was
investigated
a
neuronal
network
model
hippocampal
system
which
“What”
and
“Where”
firing
rate
vectors
were
applied
separate
neocortical
modules,
then
activated
entorhinal
cortex
dentate
gyrus,
CA3,
CA1,
cortex,
backprojections
showed
that
whole
could
be
trained
recall
neocortex
as
retrieval
cue
neocortex,
principle
up
towards
theoretical
capacity
determined
largely
by
number
synapses
onto
any
one
neuron
divided
sparseness
representation.
The
synaptic
weights
imported
into
an
integrate‐and‐fire
simulation
same
architecture,
time
presenting
module
approximately
100
ms.
sufficiently
fast
backprojection
still
active
neurons
during
storage
episodic
memory,
this
needed
operate
correctly
These
simulations
also
long
loop
neocortex–hippocampus–neocortex
operates
continuously
may
contribute
complete
neocortex;
but
positive
feedback
makes
dynamical
inherently
liable
pathological
increase
activity.
Important
factors
contributed
stability
included
increased
inhibition
CA3
CA1
keep
rates
low;
temporal
adaptation
synapses,
are
proposed
make
important
contribution
stabilizing
runaway
excitation
cortical
circuits
brain.
Hippocampus,
Journal Year:
2025,
Volume and Issue:
35(3)
Published: April 28, 2025
ABSTRACT
A
theory
and
network
model
are
presented
of
how
scene
representations
built
by
forming
spatial
view
cells
in
the
ventromedial
visual
cortical
pathway
to
hippocampus
primates
including
humans.
Layer
1,
corresponding
V1–V4,
connects
2
retrosplenial
area
uses
competitive
learning
form
feature
combination
neurons
for
part
being
fixated,
a
fixation
patch.
In
3,
parahippocampal
hippocampus,
patches
stitched
together
whole
representations.
This
is
performed
with
continuous
attractor
made
from
overlapping
Gaussian
receptive
fields
as
head
rotates
scene.
addition,
gain
modulation
gaze
direction
maps
correct
representation
when
saccades
made.
Each
neuron
3
thus
cell
that
responds
location
viewed
based
on
features
The
novel
conceptual
advances
this
shows
may
be
primates,
humans,
scenes
anchor
world
(to
allocentric,
world‐based,
space);
contributes
this.
offers
revolutionary
approach
understanding
navigation
episodic
memory
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e31965 - e31965
Published: May 24, 2024
Generative
Artificial
Intelligence
foundation
models
(for
example
Pre-trained
Transformer
-
GPT
models)
can
generate
the
next
token
given
a
sequence
of
tokens.
How
this
'generative
AI'
be
compared
with
'real'
intelligence
human
brain,
when
for
generates
whole
memory
in
response
to
an
incomplete
retrieval
cue,
and
then
further
prospective
thoughts?
Here
these
two
types
generative
intelligence,
artificial
machines
real
brain
are
compared,
it
is
shown
how
memories
generated
by
hippocampal
recall
what
computes,
computes
it,
very
different
from
AI.
Key
differences
use
local
associative
learning
rules
system,
non-local
backpropagation
error
Indeed,
argued
that
operation
performed
computationally
differently
implemented
Moreover,
emphasized
primate
including
system
includes
computations
about
spatial
view
where
objects
people
scenes,
whereas
rodents
emphasis
on
place
cells
path
integration
movements
between
places.
This
comparison
processing
has
interesting
implications
development
AI
neuroscience
research.
Cerebral Cortex,
Journal Year:
2025,
Volume and Issue:
35(5)
Published: May 1, 2025
Abstract
A
key
question
is
how
new
semantic
representations
are
formed
in
the
human
brain
and
this
may
benefit
from
hippocampal
episodic
memory
system.
Here,
we
describe
major
effective
connectivity
between
system
anterior
temporal
lobe
(ATL)
humans.
Then,
present
model
a
theory
of
be
ATL
using
slow
associative
learning
attractor
networks
that
receive
inputs
The
hypothesis
if
one
category
being
processed
for
several
seconds,
then
short-term
trace
biologically
plausible
rule
will
enable
all
components
during
time
to
associated
together
network.
This
benefits
binding
provided
by
modeled
four-layer
network
view-invariant
visual
object
recognition,
followed
layer
utilizes
form
categories
based
on
occur
close
time,
or
world.
Cerebral Cortex,
Journal Year:
2025,
Volume and Issue:
35(5)
Published: May 1, 2025
Abstract
Key
questions
for
understanding
hippocampal
function
in
memory
and
navigation
humans
are
the
type
source
of
visual
information
that
reaches
human
hippocampus.
We
measured
bidirectional
pairwise
effective
connectivity
with
functional
magnetic
resonance
imaging
between
360
cortical
regions
while
956
Human
Connectome
Project
participants
viewed
scenes,
faces,
tools,
or
body
parts.
developed
a
method
using
deterministic
dynamical
graphs
to
define
whole
networks
flow
both
directions
their
over
timesteps
after
signal
is
applied
V1.
revealed
ventromedial
“Where”
network
from
V1
via
retrosplenial
medial
parahippocampal
scene
areas
hippocampus
when
scenes
viewed.
A
ventrolateral
“What”
V2–V4,
fusiform
face
cortex,
lateral
region
TF
faces/objects
There
major
implications
computations
vs
rodent
navigation:
primates
fovea
highly
processing
process
about
location
objects,
landmarks
whereas
rodents
representations
system
mainly
place
where
individual
located
self-motion
places.
Brain Structure and Function,
Journal Year:
2024,
Volume and Issue:
229(6), P. 1471 - 1493
Published: June 5, 2024
Connectivity
maps
are
now
available
for
the
360
cortical
regions
in
Human
Connectome
Project
Multimodal
Parcellation
atlas.
Here
we
add
function
to
these
by
measuring
selective
fMRI
activations
and
functional
connectivity
increases
stationary
visual
stimuli
of
faces,
scenes,
body
parts
tools
from
956
HCP
participants.
Faces
activate
ventrolateral
stream
(FFC),
superior
temporal
sulcus
(STS)
face
head
motion;
inferior
parietal
(PGi)
somatosensory
(PF)
regions.
Scenes
ventromedial
VMV
PHA
parahippocampal
scene
area;
medial
(7m)
lateral
(PGp)
regions;
reward-related
orbitofrontal
cortex.
Body
cortex
object
(TE1p,
TE2p);
but
also
motion
(MT,
MST,
FST);
(PGi,
PGs)
unpleasant-related
Tools
an
intermediate
ventral
area
(VMV3,
VVC,
PHA3);
(FST);
(1,
2);
auditory
(A4,
A5)
The
findings
maps;
show
how
other
related
their
associations,
including
motion,
somatosensory,
auditory,
semantic,
value-related,
Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Aug. 25, 2024
Abstract
The
primate
including
the
human
hippocampus
implicated
in
episodic
memory
and
navigation
represents
a
spatial
view,
very
different
from
place
representations
rodents.
To
understand
this
system
humans,
computations
performed,
pathway
for
view
information
to
reach
was
analysed
humans.
Whole-brain
effective
connectivity
measured
with
magnetoencephalography
between
30
visual
cortical
regions
150
other
using
HCP-MMP1
atlas
21
participants
while
performing
0-back
scene
task.
In
ventromedial
stream,
V1–V4
connect
ProStriate
region
where
retrosplenial
area
is
located.
has
VMV1–3
VVC.
These
medial
parahippocampal
PHA1–3,
which,
VMV
regions,
include
area.
have
entorhinal
cortex,
perirhinal
hippocampus.
contrast,
when
viewing
faces,
more
through
ventrolateral
stream
via
fusiform
face
cortex
inferior
temporal
TE2p
TE2a.
A
‘Where’
scenes
supported
by
diffusion
topography
171
HCP
at
7
T.
Human Brain Mapping,
Journal Year:
2024,
Volume and Issue:
45(15)
Published: Oct. 15, 2024
ABSTRACT
Different
cortical
systems
to
the
hippocampus
were
activated
using
fMRI
during
different
types
of
episodic
memory
task.
For
object
with
scene
location
memory,
activations
high
in
involved
spatial
processing,
including
ventromedial
visual
and
medial
parahippocampal
system.
These
for
system
higher
right
hemisphere.
The
face
processing
ventrolateral
stream
regions
FFC,
PIT,
V8
TE2p
object‐location
task
than
reward‐location
task,
also
hippocampus,
but
selectively
storage
key
reward
(ventromedial
prefrontal
10r,
10v,
10d;
pregenual
anterior
cingulate
d32,
p24,
p32,
s32;
orbitofrontal
cortex
reward‐related
pOFC,
11l,
OFC).
word‐pair
lower
stream,
language‐related
Broca's
area
(44,
45,
47l),
left
hemisphere
these
many
highly
connected
inferior
frontal
gyrus
Further,
effective
connectivity
analyses
tasks
showed
that
direction
was
from
early
V2–V4
VMV1–3
VVC
processing;
hippocampal
system;
FFC/V8/PIT
temporal
cortex,
which
has
lateral
TF,
turn
forward
hippocampus.
Hippocampus,
Journal Year:
2024,
Volume and Issue:
35(1)
Published: Dec. 17, 2024
Two
key
series
of
discoveries
about
the
hippocampus
are
described.
One
is
discovery
hippocampal
spatial
view
cells
in
primates.
This
opens
way
to
a
much
better
understanding
human
episodic
memory,
for
memory
prototypically
involves
where
people
or
objects
rewards
have
been
seen
locations
"out
there"
which
could
never
be
implemented
by
place
that
encode
location
rat
mouse.
Further,
valuable
navigation
using
vision
and
viewed
landmarks,
provide
richer,
vision-based,
than
self-motion
update
performed
rats
mice
who
live
dark
underground
tunnels.
Spatial
thus
offer
revolution
our
functions
humans
other
primates
with
well-developed
foveate
vision.
The
second
describes
computational
theory
hippocampal-neocortical
system
includes
only
quantitative
how
information
recalled
from
neocortex.
It
shown
foundations
this
research
were
reward
neurons
food
reward,
non-reward,
primate
orbitofrontal
cortex,
representations
value
including
monetary
cortex;
face
identity
expression
inferior
temporal
visual
cortex
they
represent
transform-invariant
information.
illustrates
order
understand
brain
computation,
whole
integrated
interdisciplinary
needed
build
operation
each
neural
system.