Zobrazeno 1 - 10
of 40 682
pro vyhledávání: '"Quantitative Biology::Neurons and Cognition"'
Autor:
Wei, Ganchao, Stevenson, Ian H.
Publikováno v:
Neural Computation. :1-22
In many areas of the brain, neural spiking activity covaries with features of the external world, such as sensory stimuli or an animal's movement. Experimental findings suggest that the variability of neural activity changes over time and may provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60c716fdef20d8136119b24defd173c2
https://doi.org/10.1162/neco_a_01593
https://doi.org/10.1162/neco_a_01593
Autor:
Daniele Avitabile
Publikováno v:
SIAM Journal on Numerical Analysis
SIAM Journal on Numerical Analysis, In press
SIAM Journal on Numerical Analysis, 61(2), 562-591. Society for Industrial and Applied Mathematics Publications
Avitabile, D 2023, ' PROJECTION METHODS FOR NEURAL FIELD EQUATIONS ', SIAM Journal on Numerical Analysis, vol. 61, no. 2, pp. 562-591 . https://doi.org/10.1137/21M1463768
SIAM Journal on Numerical Analysis, In press
SIAM Journal on Numerical Analysis, 61(2), 562-591. Society for Industrial and Applied Mathematics Publications
Avitabile, D 2023, ' PROJECTION METHODS FOR NEURAL FIELD EQUATIONS ', SIAM Journal on Numerical Analysis, vol. 61, no. 2, pp. 562-591 . https://doi.org/10.1137/21M1463768
International audience; Neural field models are nonlinear integro-differential equations for the evolution of neuronal activity, and they are a prototypical large-scale, coarse-grained neuronal model in continuum cortices. Neural fields are often sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cca92708ec3d1845a0d5cc5485123d2
http://www.scopus.com/inward/record.url?scp=85153362046&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85153362046&partnerID=8YFLogxK
Publikováno v:
Nature Computational Science. 3:254-263
Neurons in the brain are wired into adaptive networks that exhibit a range of collective dynamics. Oscillations, for example, are paradigmatic synchronous patterns of neural activity with a defined temporal scale. Neuronal avalanches, in contrast, ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffc121fedc943a78f7b43091ca4aea9
https://doi.org/10.1038/s43588-023-00410-9
https://doi.org/10.1038/s43588-023-00410-9
Publikováno v:
Neural Comput
Individual neurons in the brain have complex intrinsic dynamics that are highly diverse. We hypothesize that the complex dynamics produced by networks of complex and heterogeneous neurons may contribute to the brain’s ability to process and respond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b661fbc7176a0aa97dde52108c36cb
https://doi.org/10.1162/neco_a_01571
https://doi.org/10.1162/neco_a_01571
Publikováno v:
Journal of the Royal Society Interface
Journal of the Royal Society Interface, 2022, 19 (196), ⟨10.1098/rsif.2022.0677⟩
Journal of the Royal Society Interface, 2022, 19 (196), ⟨10.1098/rsif.2022.0677⟩
In the brain, spiking patterns live in a high-dimensional space of neurons and time. Thus, determining the intrinsic structure of this space presents a theoretical and experimental challenge. To address this challenge, we introduce a new framework fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed63856d9d59945a145b734d0c3803ce
https://pubmed.ncbi.nlm.nih.gov/36382589
https://pubmed.ncbi.nlm.nih.gov/36382589
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:16-29
Spike camera is a new type of bio-inspired vision sensor, each pixel of which perceives the brightness of the scene independently, and finally outputs 3-dimensional spatiotemporal spike streams. To bridge the spike camera and traditional frame-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5db6705b5f48da1ae2705ce97606ae9
https://doi.org/10.1109/tcsvt.2021.3130147
https://doi.org/10.1109/tcsvt.2021.3130147
Publikováno v:
Géotechnique. 73:44-61
A plasticity model is proposed to simulate the monotonic and cyclic behaviour of cemented sand. The model is an extension of the critical state-based bounding surface plasticity model originally developed for clean sand by researchers Y. F. Dafalias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc234f7bbd1d63040e9b9d6910668811
https://doi.org/10.1680/jgeot.20.p.275
https://doi.org/10.1680/jgeot.20.p.275
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:492-503
Electrical neuromodulation as a palliative treatment has been increasingly used in the control of epilepsy. However, current neuromodulations commonly implement predetermined actuation strategies and lack the capability of self-adaptively adjusting s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e43205a9d2ccb69dd0ae981c6710708
https://doi.org/10.1109/jbhi.2022.3210303
https://doi.org/10.1109/jbhi.2022.3210303
Publikováno v:
Journal of Combinatorics. 14:407-424
Vertex leaky forcing was recently introduced as a new variation of zero forcing in order to show how vertex leaks can disrupt the zero forcing process in a graph. An edge leak is an edge that is not allowed to be forced across during the zero forcing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6a0331cf6a01aa03dd01fa8feec1520
https://doi.org/10.4310/joc.2023.v14.n4.a1
https://doi.org/10.4310/joc.2023.v14.n4.a1
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:446-460
Spiking neural networks (SNNs) represent the most prominent biologically inspired computing model for neuromorphic computing (NC) architectures. However, due to the non-differentiable nature of spiking neuronal functions, the standard error back-prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455412706eb967fa48296a2a42810436
https://doi.org/10.1109/tnnls.2021.3095724
https://doi.org/10.1109/tnnls.2021.3095724