What is Cebra?
Cebra is a machine learning tool used to compress time series data and reveal hidden structures and variability. It excels in analyzing behavioral neural data and can decode activity in the visual cortex of a mouse brain to reconstruct viewed video. Cebra can also be applied to rat hippocampus data and 2-photon neuropixels recordings to map the space and uncover complex kinematic features. The tool uses behavioral and neural data in a joint, learnable, and self-supervised manner to produce consistent high-performance latent spaces. It is validated for accuracy and utility across sensory motor tasks and simple and complex behaviors across species. Cebra also allows single and multi-session datasets to be leveraged for hypothesis testing without the need for labeling. The pre-print paper and software implementation for the algorithm are available on arxiv and Github respectively.
More information on Cebra
Top 5 Countries
Traffic Sources
Cebra Alternatives
Load more Alternatives-
Discover a powerful machine learning algorithm that combines classification and clustering to analyze data efficiently. Improve decision-making with predictive models and data visualizations. Ideal for marketing, finance, healthcare, and engineering.
-
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
-
Streamline annotation and reinforcement learning workflows with Encord. Annotate data, improve model quality, and access expert labelers on-demand.
-
Predict customer responses and optimize marketing strategies with Neurons, a neuroscience solution trusted by major brands. Gain valuable insights for decision-making with its predictive capabilities and audience sentiment analysis. Backed by scientific validity and utilizing cutting-edge approaches in neuroscience and AI.