Cebra para Web Apps

CEBRA is an advanced machine-learning tool designed to effectively map behavioral actions to neural activity, addressing a significant challenge in neuroscience research. It employs a unique methodology that integrates both behavioral and neural datasets, resulting in high-performance latent spaces that help uncover the relationships between behavior and neural responses. CEBRA supports the analysis of both single and multi-session datasets and is adept at processing various data types, including calcium imaging and electrophysiological recordings.

Key features of CEBRA include its capabilities for space mapping, kinematic feature analysis, and rapid decoding of visual stimuli. The tool can decode natural movies viewed through the visual cortex and can reconstruct the corresponding videos from neural recordings in the mouse brain, making it an essential resource for researchers in neuroscience and behavioral science.