Summary: A new technique that uses machine learning to mute noise inherent in single-trial neural recordings will make it easier to decipher the neural code.
LFADS finds the underlying patterns in how neurons interact over time. Here, each line represents the progression of neural activity in motor cortex as an animal reaches in different directions. Credit: Pandarinath et al Nature Methods 2018
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11/21/2018
Noise-Cancelling Method Enhances Ability to Predict Behavior from Brain Activity
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