CEBRA

CEBRA

Uncover hidden neural dynamics with CEBRA

Monthly visits:11218
Visit
CEBRA screenshot

CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, decoding activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages behavioral and neural data to produce consistent and high-performance latent spaces, allowing for hypothesis testing, label-free usage, and accurate decoding of natural movies from the visual cortex.

For Tasks:

Click tags to check more tools for each tasks

For Jobs:

Features

Advantages

  • Jointly uses behavioral and neural data
  • Validated accuracy across sensory and motor tasks
  • Can be used for hypothesis testing or label-free
  • Uncover complex kinematic features
  • Rapid and high-accuracy decoding of natural movies

Disadvantages

  • Complexity in understanding the underlying algorithms
  • Requires expertise in neuroscience and data analysis
  • Limited support for non-expert users

Frequently Asked Questions

Alternative AI tools for CEBRA

Similar sites

For similar tasks

For similar jobs