Springer Nature Editor
From the Editors

Modelling latent structures in neural activity to better predict behaviour

Nonlinear latent factors and latent structures in the activity of neural populations can be computationally modelled to enable flexible inference and to better predict neural activity and behaviour.

Published in Neuroscience

Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
Like
Go to the profile of India Ambler

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

Share with...

...or copy the link

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Preview

Download PDF Open

Explore the Research

Nature
Nature Nature

Dynamical flexible inference of nonlinear latent factors and structures in neural population activity - Nature Biomedical Engineering

Nonlinear latent factors and latent structures in the activity of neural populations can be computationally modelled to enable flexible inference and to better predict neural activity and behaviour.

The cover illustrates that latent factors and latent structures in the activity of neural populations can be computationally modelled to better predict neural activity and behaviour.

See Abbaspourazad et al.

Image: Ella Marushchenko and Ekaterina Zvorykina (Ella Maru Studio, Inc.). Cover design: Alex Wing.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Sign In Register

Follow the Topic

Computational Neuroscience
Life Sciences > Biological Sciences > Neuroscience > Computational Neuroscience

Related Collections

With Collections, you can get published faster and increase your visibility.

Neuroengineering

With this cross-journal Collection, the editors at Nature Biomedical Engineering, Nature Medicine, Nature Neuroscience, Nature Biotechnology, Nature Communications, Communications Medicine, Communications Biology, and Scientific Reports invite manuscripts that highlight the development, use and insight obtained from applying neuroengineering approaches.

Publishing Model: Hybrid

Deadline: Oct 31, 2026

Explore this Collection

Implantable wireless communication technologies

This collection brings together research that addresses critical engineering challenges in implantable wireless communications. It demonstrates how electromagnetic, optical, acoustic, or hybrid methods can be engineered to achieve reliable wireless communications and power delivery through biological tissues.

Publishing Model: Hybrid

Deadline: Nov 28, 2026

Explore this Collection

Recommended Content

Cookies

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website. You can decide for yourself which categories you want to deny or allow. Please note that based on your settings not all functionalities of the site are available.

Further information can be found in our privacy policy.

Cookie Control

Customise your preferences for any tracking technology

The following allows you to customize your consent preferences for any tracking technology used to help us achieve the features and activities described below. To learn more about how these trackers help us and how they work, refer to the cookie policy. You may review and change your preferences at any time.

See the full cookie policy See the full privacy policy
More information

These trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.

More information

These trackers help us to deliver personalized marketing content and to operate, serve and track ads.

More information

These trackers help us to deliver personalized marketing content to you based on your behaviour and to operate, serve and track social advertising.

More information

These trackers help us to measure traffic and analyze your behaviour with the goal of improving our service.

More information

These trackers help us to provide a personalized user experience by improving the quality of your preference management options, and by enabling the interaction with external networks and platforms.