Spatial computing enables flexible cognitive control in neural networks

Abstract excerpt

<title>Abstract</title> <p>Flexible and generalizable control over sensory representations is needed to achieve human-level cognition. Here we implement a novel principle, Spatial computing, in a cortical neural network model. By explicitly utilizing the cortical topography as an additional coding dimension, it is possible to flexibly update the cognitive status of sensory representations. We first demonstrate th...

Topics

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• Action Potentials
• Amino Acid Motifs
• False Positive Reactions
• Genome
• Models, Neurological
• Nerve Net
• Neuronal Plasticity
• Neurons

Identifiers and source

Literature Corpus work

f0105f7f-28f2-516d-af3d-84fc6dbe3075

DOI

10.21203/rs.3.rs-7083743/v1