Nature Search

Distinct dynamics of neuronal activity during concurrent motor planning and execution

Animal behaviour is governed by planning and executing movements. Here, using non-stereotypical movements to separate planning and executional processes, the authors find evidence for slow processes for planning and fast processes for movement execution.

David Eriksson
Mona Heiland
Ilka Diester
ResearchOpen Access10 Sept 2021
Nature Communications

Volume: 12, P: 1-18
Author Correction: U-Net: deep learning for cell counting, detection, and morphometry

Thorsten Falk
Dominic Mai
Olaf Ronneberger
Amendments and Corrections25 Feb 2019
Nature Methods

Volume: 16, P: 351
Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding

Conservation of the neural code across subjects is crucial for training brain-computer interfaces. Through alignment of neural manifolds, the authors show cross-subject generalization in the decoding of unconstrained behavior from sensorimotor cortex.

Svenja Melbaum
Eleonora Russo
Ilka Diester
ResearchOpen Access02 Dec 2022
Nature Communications

Volume: 13, P: 1-14
Multichannel optogenetics combined with laminar recordings for ultra-controlled neuronal interrogation

Researchers from Freiburg University developed an ultraflexible fiber-based 3D light delivery system for electrophysiology and optogenetic manipulation in freely moving animals. The system allows multiside modulation of neuronal activity combined with neuronal measurements.

David Eriksson
Artur Schneider
Ilka Diester
ResearchOpen Access21 Feb 2022
Nature Communications

Volume: 13, P: 1-13
Targeting cells with single vectors using multiple-feature Boolean logic

This paper describes a single-vector strategy for flexible intersectional expression of genetically encoded reporters and tools in precisely defined cell types in the mouse.

Lief E Fenno
Joanna Mattis
Karl Deisseroth
Research08 Jun 2014
Nature Methods

Volume: 11, P: 763-772
U-Net: deep learning for cell counting, detection, and morphometry

A user-friendly ImageJ plugin enables the application and training of U-Nets for deep-learning-based image segmentation, detection and classification tasks with minimal labeling requirements.

Thorsten Falk
Dominic Mai
Olaf Ronneberger
Research17 Dec 2018
Nature Methods

Volume: 16, P: 67-70
An optogenetic toolbox designed for primates

Here the authors describe a set of new optogenetic tools for use in primates that are meant to address the unique constraints of working with this species. They characterize opsin expression, the reliability of optogenetic stimulation and its effect on behavior, and methods for determining localization and expression levels prior to the completion of experiments.

Ilka Diester
Matthew T Kaufman
Krishna V Shenoy
Research30 Jan 2011
Nature Neuroscience

Volume: 14, P: 387-397
Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback

Karvat et al. describe a real-time digital signal-processing method to detect neural oscillations in the form of short and narrowband bursts. Using this real-time method, they show that neurofeedback increases burst-related behaviours and that these bursts can be decoded from the movements of the rats.

Golan Karvat
Artur Schneider
Ilka Diester
ResearchOpen Access14 Feb 2020
Communications Biology

Volume: 3, P: 1-10
Publisher Correction: Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys

Daniel J. O’Shea
Paul Kalanithi
Krishna V. Shenoy
Amendments and CorrectionsOpen Access05 Dec 2019
Scientific Reports

Volume: 9, P: 1-2
Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys

Daniel J. O’Shea
Paul Kalanithi
Krishna V. Shenoy
ResearchOpen Access30 Apr 2018
Scientific Reports

Volume: 8, P: 1-20

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