Noise correlation analysis in PFC regions.

Noise correlation analysis in PFC regions.

<p><b><i>(A)</i></b><i>The proportion of neurons with selective activity increases for FEF (left) and DLPFC (right).</i><b><i>(B)</i></b><i>The correlation coefficient for the neuron pairs (blue bars: significant values; gray ba...

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Bibliographic Details
Main Author: Evangelos Sigalas (20861702) (author)
Other Authors: Camilo Libedinsky (3324999) (author)
Published: 2025
Subjects:
Medicine
Cell Biology
Molecular Biology
Neuroscience
Mental Health
Biological Sciences not elsewhere classified
frontal eye field
lateral prefrontal cortex
elevated noise correlation
dorsolateral prefrontal cortex
abstract neural representations
bump attractor connectivity
noise correlation properties
bump attractor units
mixed recurrent connectivity
recurrent connectivity
prefrontal regions
noise levels
functional properties
dimensional representations
xlink ">
varying percentages
network depend
models initialized
method leverages
lower percentages
likely support
indirect method
findings suggest
different percentages
detailed description
connected units
brain regions
approximately 20
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Summary:<p><b><i>(A)</i></b><i>The proportion of neurons with selective activity increases for FEF (left) and DLPFC (right).</i><b><i>(B)</i></b><i>The correlation coefficient for the neuron pairs (blue bars: significant values; gray bars: non-significant values).</i><b><i>(C)</i></b><i>Fano factor for the neuron pairs. The red squares highlight the properties of this data that were used to select the RNN models in subsequent analyses.</i></p>

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