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Estimating the dimensionality of the manifold underlying multi-electrode neural recordings.
Ege Altan
Sara A. Solla
Lee E. Miller
Eric J. Perreault
Published in:
PLoS Comput. Biol. (2021)
Keyphrases
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high dimensional
neural network
feature space
lower dimensional
network architecture
neural model
dimensionality reduction
low dimensional
high dimension
manifold learning
learning rules
intrinsic dimensionality
geodesic distance
intrinsic dimension
spiking neurons
rigid body
feature selection