A quantitative model of conserved macroscopic dynamics predicts future motor commands
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A quantitative model of conserved macroscopic dynamics predicts future motor commands
Authors
Keywords
-
Journal
eLife
Volume 8, Issue -, Pages -
Publisher
eLife Sciences Publications, Ltd
Online
2019-07-11
DOI
10.7554/elife.46814
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- C. elegans AWA Olfactory Neurons Fire Calcium-Mediated All-or-None Action Potentials
- (2018) Qiang Liu et al. CELL
- Topological Causality in Dynamical Systems
- (2017) Daniel Harnack et al. PHYSICAL REVIEW LETTERS
- A global brain state underliesC. eleganssleep behavior
- (2017) Annika L. A. Nichols et al. SCIENCE
- Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain?
- (2017) Yves Frégnac SCIENCE
- Could a Neuroscientist Understand a Microprocessor?
- (2017) Eric Jonas et al. PLoS Computational Biology
- A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans
- (2016) William M Roberts et al. eLife
- Neuroendocrine modulation sustains the C. elegans forward motor state
- (2016) Maria A Lim et al. eLife
- Feedback from Network States Generates Variability in a Probabilistic Olfactory Circuit
- (2015) Andrew Gordus et al. CELL
- Reconstruction and Simulation of Neocortical Microcircuitry
- (2015) Henry Markram et al. CELL
- Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans
- (2015) Saul Kato et al. CELL
- The BRAIN Initiative: developing technology to catalyse neuroscience discovery
- (2015) L. A. Jorgenson et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Pan-neuronal imaging in roamingCaenorhabditis elegans
- (2015) Vivek Venkatachalam et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Whole-brain calcium imaging with cellular resolution in freely behavingCaenorhabditis elegans
- (2015) Jeffrey P. Nguyen et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Multivariate time-series analysis and diffusion maps
- (2015) Wenzhao Lian et al. SIGNAL PROCESSING
- Encoding of Both Analog- and Digital-like Behavioral Outputs by One C. elegans Interneuron
- (2014) Zhaoyu Li et al. CELL
- Cellular Stress Induces a Protective Sleep-like State in C. elegans
- (2014) Andrew J. Hill et al. CURRENT BIOLOGY
- FMRFamide-like FLP-13 Neuropeptides Promote Quiescence following Heat Stress in Caenorhabditis elegans
- (2014) Matthew D. Nelson et al. CURRENT BIOLOGY
- Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy
- (2014) Robert Prevedel et al. NATURE METHODS
- Dynamic Encoding of Perception, Memory, and Movement in a C. elegans Chemotaxis Circuit
- (2014) Linjiao Luo et al. NEURON
- Low-dimensional functionality of complex network dynamics: Neurosensory integration in theCaenorhabditiselegansconnectome
- (2014) James Kunert et al. PHYSICAL REVIEW E
- The Caenorhabditis elegans interneuron ALA is (also) a high-threshold mechanosensor
- (2013) Jarred Sanders et al. BMC NEUROSCIENCE
- Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals
- (2013) Antal Berényi et al. JOURNAL OF NEUROPHYSIOLOGY
- The simplest maximum entropy model for collective behavior in a neural network
- (2013) Gašper Tkačik et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- From the connectome to brain function
- (2013) Cornelia I Bargmann et al. NATURE METHODS
- Whole-brain functional imaging at cellular resolution using light-sheet microscopy
- (2013) Misha B Ahrens et al. NATURE METHODS
- Brain-wide 3D imaging of neuronal activity in Caenorhabditis elegans with sculpted light
- (2013) Tina Schrödel et al. NATURE METHODS
- Nonequilibrium landscape theory of neural networks
- (2013) H. Yan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High-throughput imaging of neuronal activity in Caenorhabditis elegans
- (2013) J. Larsch et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis
- (2013) Eduardo J. Izquierdo et al. PLoS Computational Biology
- Neural population dynamics during reaching
- (2012) Mark M. Churchland et al. NATURE
- Neuromodulation of Neuronal Circuits: Back to the Future
- (2012) Eve Marder NEURON
- Detecting Causality in Complex Ecosystems
- (2012) G. Sugihara et al. SCIENCE
- Structural Properties of the Caenorhabditis elegans Neuronal Network
- (2011) Lav R. Varshney et al. PLoS Computational Biology
- Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?
- (2010) Mark M. Churchland et al. NEURON
- Temporal Analysis of Stochastic Turning Behavior of Swimming C. elegans
- (2009) Nikhil Srivastava et al. JOURNAL OF NEUROPHYSIOLOGY
- Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators
- (2009) Lin Tian et al. NATURE METHODS
- Optical interrogation of neural circuits in Caenorhabditis elegans
- (2009) Zengcai V Guo et al. NATURE METHODS
- Complex network measures of brain connectivity: Uses and interpretations
- (2009) Mikail Rubinov et al. NEUROIMAGE
- A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro
- (2008) A. Tang et al. JOURNAL OF NEUROSCIENCE
- Potential landscape and flux framework of nonequilibrium networks: Robustness, dissipation, and coherence of biochemical oscillations
- (2008) J. Wang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Dimensionality and Dynamics in the Behavior of C. elegans
- (2008) Greg J. Stephens et al. PLoS Computational Biology
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started