custom code python version 3.7 (DFINE Europe GmbH)
90
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DFINE Europe GmbH
custom code python version 3.7
Custom Code Python Version 3.7, supplied by DFINE Europe GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/python+version+3%2E7/custom+code+python+version+3+7/pm38082181-728-0-9
Average 90 stars, based on 1 article reviews
Custom Code Python Version 3.7, supplied by DFINE Europe GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/python+version+3%2E7/custom+code+python+version+3+7/pm38082181-728-0-9
Average 90 stars, based on 1 article reviews
custom code python version 3.7 - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Dynamical flexible inference of nonlinear latent factors and structures in neural population activity. Article Snippet: Modelling the spatiotemporal dynamics in the activity of neural populations while also enabling their flexible inference is hindered by the complexity and noisiness of neural observations.. Here we show that the lower-dimensional nonlinear latent factors and latent structures can be computationally modelled in a manner that allows for flexible inference causally, non-causally and in the presence of missing neural observations.. To enable flexible inference, we developed a neural network that separates the model into jointly trained manifold and dynamic latent factors such that nonlinearity is captured through the manifold factors and the dynamics can be modelled in tractable linear form on this nonlinear manifold. |