Maximally predictive states:From partial observations to long timescales

Autor: Antonio C. Costa, Tosif Ahamed, David Jordan, Greg J. Stephens

Publikováno v: Costa, A C, Ahamed, T, Jordan, D & Stephens, G J 2023, ' Maximally predictive states : From partial observations to long timescales ', Chaos, vol. 33, no. 2, 023136, pp. 1-15 . https://doi.org/10.1063/5.0129398
Chaos, 33(2):023136, 1-15. American Institute of Physics Publising LLC

Isolating slower dynamics from fast fluctuations has proven remarkably powerful, but how do we proceed from partial observations of dynamical systems for which we lack underlying equations? Here, we construct maximally-predictive states by concatenat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee9e2f8e0e131b56131625f75c52cdf
https://research.vu.nl/en/publications/81806fca-6209-4d46-badd-7546b5672963

Post-embryonic maturation of the C. elegans motor circuit

Autor: Ben Mulcahy, Daniel Witvliet, James Mitchell, Richard Schalek, Daniel Berger, Yuelong Wu, Doug Holmyard, Yangning Lu, Tosif Ahamed, Aravinthan Samuel, Andrew D Chisholm, Jeff Lichtman, Mei Zhen

SummaryDuring development, animals can maintain behavioral output even as the underlying circuits structurally remodel. After hatching, C. elegans undergoes substantial motor neuron expansion and synapse re-wiring while the animal continuously moves

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e777359598d04a9df6511a5bea96a5f1
https://doi.org/10.1101/2022.01.24.477421

Extrasynaptic signaling enables an asymmetric juvenile motor circuit to produce symmetric undulation

Autor: Yangning Lu, Tosif Ahamed, Ben Mulcahy, Jun Meng, Daniel Witvliet, Sihui Asuka Guan, Douglas Holmyard, Wesley Hung, Quan Wen, Andrew D. Chisholm, Aravinthan D.T. Samuel, Mei Zhen

Publikováno v: Current Biology. 32:4631-4644.e5

In many animals, there is a direct correspondence between the motor patterns that drive locomotion and the motor neuron innervation. For example, the adult C. elegans moves with symmetric and alternating dorsal-ventral bending waves arising from symm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ae03937f73ac8dc31a34a5d7919fb4
https://doi.org/10.1016/j.cub.2022.09.002

Adaptive, locally linear models of complex dynamics

Autor: Greg J. Stephens, Antonio de Lisboa Lopes Costa, Tosif Ahamed

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America
Costa, A C, Ahamed, T & Stephens, G J 2019, ' Adaptive, locally linear models of complex dynamics ', Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 5, pp. 1501-1510 . https://doi.org/10.1073/pnas.1813476116
Proceedings of the National Academy of Sciences of the United States of America, 116(5), 1501-1510. National Acad Sciences

Significance Natural phenomena are teeming with temporal complexity, but such dynamics, however fascinating, offer substantial obstacles to quantitative understanding. We introduce a general method based on the simple idea that even complicated time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6acf34c184d4b6464829cdd4b11ceb69
http://europepmc.org/articles/PMC6358715

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

Autor: Antonio de Lisboa Lopes Costa, Liam O'Shaughnessy, Greg J. Stephens, Laetitia Hebert, Tosif Ahamed

Publikováno v: PLoS Computational Biology
PLoS Computational Biology, 17(4):e1008914, 1-20. Public Library of Science
Hebert, L, Ahamed, T, Costa, A C, O’Shaughnessy, L & Stephens, G J 2021, ' WormPose : Image synthesis and convolutional networks for pose estimation in C. elegans ', PLoS Computational Biology, vol. 17, no. 4, e1008914, pp. 1-20 . https://doi.org/10.1371/journal.pcbi.1008914
PLoS Computational Biology, Vol 17, Iss 4, p e1008914 (2021)

An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging. We introduce an open-source Python packa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce02b72fe6f7f628b3b8380cc2b6449c
http://europepmc.org/articles/PMC8078761