Adaptive Neural Conditioning Using Latent Space Embeddings and Optical Data

Abstract excerpt

Advances in brain-computer interface technology seek to enable nuanced control of neural activity patterns. This study demonstrates a framework combining artificial intelligence and high-resolution optical sensing to identify and modulate intricate signaling dynamics. Genetically-encoded calcium indicators provide fluorescent readouts of neuronal firing. An autoencoder neural network compresses these optical data...

Topics

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• Action Potentials
• Cognition
• Data Interpretation, Statistical
• Nerve Net
• Neurons
• Phenotype
• Prefrontal Cortex
• Pyramidal Cells

Identifiers and source

Literature Corpus work

675a755a-d066-54f2-95cd-70955e29bd18

DOI

10.20944/preprints202508.0295.v1