In
this
dissertation,
I
examine
how
an
animal’s
nervous
system
encodes
spatially
realistic
conspecific
signals
in
their
environment
and
the
encoding
mechanisms
support
behavioral
sensitivity.
begin
by
modeling
changes
electrosensory
exchanged
weakly
electric
fish
a
social
context.
During
behavior,
estimate
spatial
structure
of
stimuli
influences
sensory
responses
at
electroreceptive
periphery.
then
quantify
space
is
represented
hindbrain,
specifically
primary
area
called
lateral
line
lobe.
show
that
sensitivity
influenced
heterogeneous
properties
pyramidal
cell
population.
further
demonstrate
heterogeneity
serves
to
start
segregating
temporal
information
early
pathway.
Lastly,
characterize
accuracy
coding
network
predict
role
elements,
such
as
correlated
noise
feedback,
shaping
information.
My
research
provides
comprehensive
understanding
first
stages
processing
allows
us
better
understand
dynamics
shape
accuracy.
Layer
(L)1,
beside
receiving
massive
cortico-cortical,
commissural
and
associational
projections,
is
the
termination
zone
of
tufted
dendrites
pyramidal
neurons
area
Ca
2+
spike
initiation.
However,
its
synaptic
organization
in
humans
not
known.
Quantitative
3D-models
boutons
(SBs)
L1
human
temporal
lobe
neocortex
were
generated
from
non-epileptic
neocortical
biopsy
tissue
using
transmission
electron
microscopy,
3D-volume
reconstructions
EM
tomography.
Particularly,
size
active
zones
(AZs)
readily
releasable,
recycling
resting
pool
vesicles
(SVs)
quantified.SBs
had
a
single
large
AZ
(∼0.20
µm
2
),
total
∼3500
SVs,
releasable
(∼4
SVs),
(∼470
SVs)
(∼2900
pool.
Astrocytic
coverage
suggests
cross
talk
at
complexes.Thus,
SBs
mediate,
integrate
synchronize
contextual
cross-modal
information,
enabling
flexible
state-dependent
processing
feedforward
sensory
inputs
other
layers
cortical
column.
Layer
(L)1,
beside
receiving
massive
cortico-cortical,
commissural
and
associational
projections,
is
the
termination
zone
of
tufted
dendrites
pyramidal
neurons
area
Ca
2+
spike
initiation.
However,
its
synaptic
organization
in
humans
not
known.
Quantitative
3D-models
boutons
(SBs)
L1
human
temporal
lobe
neocortex
were
generated
from
non-epileptic
neocortical
biopsy
tissue
using
transmission
electron
microscopy,
3D-volume
reconstructions
EM
tomography.
Particularly,
size
active
zones
(AZs)
readily
releasable,
recycling
resting
pool
vesicles
(SVs)
quantified.SBs
had
a
single
large
AZ
(∼0.20
µm
2
),
total
∼3500
SVs,
releasable
(∼4
SVs),
(∼470
SVs)
(∼2900
pool.
Astrocytic
coverage
suggests
cross
talk
at
complexes.Thus,
SBs
mediate,
integrate
synchronize
contextual
cross-modal
information,
enabling
flexible
state-dependent
processing
feedforward
sensory
inputs
other
layers
cortical
column.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2021,
Volume and Issue:
unknown
Published: March 3, 2021
Choice
information
appears
in
the
brain
as
distributed
signals
with
top-down
and
bottom-up
components
that
together
support
decision-making
computations.
In
sensory
associative
cortical
regions,
presence
of
choice
signals,
their
strength,
area
specificity
are
known
to
be
elusive
changeable,
limiting
a
cohesive
understanding
computational
significance.
this
study,
examining
mesoscale
activity
mouse
posterior
cortex
during
complex
visual
discrimination
task,
we
found
broadly
defined
decision
variable
low-dimensional
embedding
space
multi-area
activations,
particularly
along
ventral
stream.
The
subspace
they
was
near-orthogonal
concurrently
represented
motor-related
it
modulated
by
task
difficulty
contextually
animals’
attention
state.
To
mechanistically
relate
representations
computations,
trained
recurrent
neural
networks
choices
an
equivalent
whose
context-dependent
dynamics
agreed
data.
conclusion,
our
results
demonstrated
independent
cortex,
controlled
features
cognitive
demands.
Its
reflected
possibly
linked
feedback
used
for
probabilistic-inference
computations
animal-environment
interactions.
In
this
dissertation,
I
examine
how
an
animal’s
nervous
system
encodes
spatially
realistic
conspecific
signals
in
their
environment
and
the
encoding
mechanisms
support
behavioral
sensitivity.
begin
by
modeling
changes
electrosensory
exchanged
weakly
electric
fish
a
social
context.
During
behavior,
estimate
spatial
structure
of
stimuli
influences
sensory
responses
at
electroreceptive
periphery.
then
quantify
space
is
represented
hindbrain,
specifically
primary
area
called
lateral
line
lobe.
show
that
sensitivity
influenced
heterogeneous
properties
pyramidal
cell
population.
further
demonstrate
heterogeneity
serves
to
start
segregating
temporal
information
early
pathway.
Lastly,
characterize
accuracy
coding
network
predict
role
elements,
such
as
correlated
noise
feedback,
shaping
information.
My
research
provides
comprehensive
understanding
first
stages
processing
allows
us
better
understand
dynamics
shape
accuracy.
