Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Madhura R Joglekar"'
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 7, p e1007198 (2019)
Neuroscience models come in a wide range of scales and specificity, from mean-field rate models to large-scale networks of spiking neurons. There are potential trade-offs between simplicity and realism, versatility and computational speed. This paper
Externí odkaz:
https://doaj.org/article/289b0b58682b4ba7afb79e8924171369
Autor:
H. Francis Song, Guangyu Robert Yang, Madhura R. Joglekar, Xiao Jing Wang, William T. Newsome
Publikováno v:
Nature Neuroscience. 22:297-306
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b97ddd5ddd1296b3ae647670dc82e4a1
https://doi.org/10.1038/s41593-018-0310-2
https://doi.org/10.1038/s41593-018-0310-2
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 7, p e1007198 (2019)
PLoS Computational Biology, Vol 15, Iss 7, p e1007198 (2019)
Neuroscience models come in a wide range of scales and specificity, from mean-field rate models to large-scale networks of spiking neurons. There are potential trade-offs between simplicity and realism, versatility and computational speed. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::192e42e8ff2b32d2e202170f36a4b01c
http://europepmc.org/articles/PMC6677387
http://europepmc.org/articles/PMC6677387
Publikováno v:
Nonlinearity. 28:3803-3820
Attracting chaotic behaviour in dynamical systems is often sensitive to small changes in parameters. If a perturbation in the parameter by a tiny amount can change the asymptotic behaviour of the system from being chaotic to being periodic, we call i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd9fd16db8d549c8fdcf54ab421fec67
https://doi.org/10.1088/0951-7715/28/11/3803
https://doi.org/10.1088/0951-7715/28/11/3803
Autor:
Madhura R. Joglekar, James A. Yorke
Publikováno v:
Nonlinearity. 28:697-711
For a smooth dynamical system xn+1 = f(C, xn) (depending on a parameter C), there may be infinitely many periodic windows, that is, intervals in C having a region of stable periodic behaviour. However, the smaller of these windows are easily destroye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c5e956f76ee09bce6c5e0da8b2a6ee1
https://doi.org/10.1088/0951-7715/28/3/697
https://doi.org/10.1088/0951-7715/28/3/697
Reliable signal transmission represents a fundamental challenge for cortical systems, which display a wide range of weights of feedforward and feedback connections among heterogeneous areas. We re-examine the question of signal transmission across th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32258dd5b5f5622cc6805cc52c82dd6b
https://doi.org/10.1101/186007
https://doi.org/10.1101/186007
Publikováno v:
Journal of Fixed Point Theory and Applications. 8:151-176
Period-doubling cascades are among the most prominent features of many smooth one-parameter families of maps, $${F : \mathbb{R}\times\mathfrak{M} \rightarrow \mathfrak{M},}$$ where $${\mathfrak{M}}$$ is a locally compact manifold without boundary, ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::663b74ada680f0ca3aebb3c808fa0145
https://doi.org/10.1007/s11784-010-0029-5
https://doi.org/10.1007/s11784-010-0029-5
Publikováno v:
Physical Review E. 91
We investigate the geometry of the edge of chaos for a nine-dimensional sinusoidal shear flow model and show how the shape of the edge of chaos changes with increasing Reynolds number. Furthermore, we numerically compute the scaling of the minimum pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aa0ac8827a91dff1f89823e16058679
https://doi.org/10.1103/physreve.91.052903
https://doi.org/10.1103/physreve.91.052903
Publikováno v:
Physical Review Letters. 113
The character of the time-asymptotic evolution of physical systems can have complex, singular behavior with variation of a system parameter, particularly when chaos is involved. A perturbation of the parameter by a small amount $\epsilon$ can convert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce8fd77c8aa477d0a542f1e86d974bde
https://doi.org/10.1103/physrevlett.113.084101
https://doi.org/10.1103/physrevlett.113.084101