[HTML][HTML] Neural signal propagation atlas of Caenorhabditis elegans
Establishing how neural function emerges from network properties is a fundamental problem
in neuroscience. Here, to better understand the relationship between the structure and the …
in neuroscience. Here, to better understand the relationship between the structure and the …
Dynamic functional connectivity in the static connectome of Caenorhabditis elegans
SW Flavell, A Gordus - Current opinion in neurobiology, 2022 - Elsevier
A hallmark of adaptive behavior is the ability to flexibly respond to sensory cues. To
understand how neural circuits implement this flexibility, it is critical to resolve how a static …
understand how neural circuits implement this flexibility, it is critical to resolve how a static …
[HTML][HTML] Measuring and modeling whole-brain neural dynamics in Caenorhabditis elegans
Highlights•Whole-brain activity can be recorded at cellular resolution in moving C.
elegans.•This provides insights into coding of locomotion, internal states and sensory …
elegans.•This provides insights into coding of locomotion, internal states and sensory …
A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans
WM Roberts, SB Augustine, KJ Lawton, TH Lindsay… - Elife, 2016 - elifesciences.org
Random search is a behavioral strategy used by organisms from bacteria to humans to
locate food that is randomly distributed and undetectable at a distance. We investigated this …
locate food that is randomly distributed and undetectable at a distance. We investigated this …
A quantitative model of conserved macroscopic dynamics predicts future motor commands
In simple organisms such as Caenorhabditis elegans, whole brain imaging has been
performed. Here, we use such recordings to model the nervous system. Our model uses …
performed. Here, we use such recordings to model the nervous system. Our model uses …
Nonlinear model reduction for dynamical systems using sparse sensor locations from learned libraries
S Sargsyan, SL Brunton, JN Kutz - Physical Review E, 2015 - APS
We demonstrate the synthesis of sparse sampling and dimensionality reduction to
characterize and model nonlinear dynamical systems over a range of bifurcation …
characterize and model nonlinear dynamical systems over a range of bifurcation …
Caenorhabditis elegans and the network control framework—FAQs
EK Towlson, PE Vértes, G Yan… - … of the Royal …, 2018 - royalsocietypublishing.org
Control is essential to the functioning of any neural system. Indeed, under healthy conditions
the brain must be able to continuously maintain a tight functional control between the …
the brain must be able to continuously maintain a tight functional control between the …
Comparing high-dimensional neural recordings by aligning their low-dimensional latent representations
Many questions in neuroscience involve understanding of the responses of large
populations of neurons. However, when dealing with large-scale neural activity …
populations of neurons. However, when dealing with large-scale neural activity …
How to incorporate biological insights into network models and why it matters
L Bernáez Timón, P Ekelmans… - The Journal of …, 2023 - Wiley Online Library
Due to the staggering complexity of the brain and its neural circuitry, neuroscientists rely on
the analysis of mathematical models to elucidate its function. From Hodgkin and Huxley's …
the analysis of mathematical models to elucidate its function. From Hodgkin and Huxley's …
To reverse engineer an entire nervous system
There are many theories of how behavior may be controlled by neurons. Testing and
refining these theories would be greatly facilitated if we could correctly simulate an entire …
refining these theories would be greatly facilitated if we could correctly simulate an entire …