Cargando…
Learnable latent embeddings for joint behavioural and neural analysis
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural data increases, there is growing interest in modelling neural dynamics during adaptive behaviours to probe neural representations(1–3). In particular, although...
Autores principales: | Schneider, Steffen, Lee, Jin Hwa, Mathis, Mackenzie Weygandt |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172131/ https://www.ncbi.nlm.nih.gov/pubmed/37138088 http://dx.doi.org/10.1038/s41586-023-06031-6 |
Ejemplares similares
-
Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability
por: Cohen, Clara, et al.
Publicado: (2020) -
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
por: Sutton, Adam, et al.
Publicado: (2020) -
Learnability of the Boolean Innerproduct in Deep Neural Networks
por: Erdal, Mehmet, et al.
Publicado: (2022) -
The learnability of Pauli noise
por: Chen, Senrui, et al.
Publicado: (2023) -
Learnability for the Information Bottleneck
por: Wu, Tailin, et al.
Publicado: (2019)