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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1962 1
1974 2
1977 1
1979 1
1981 1
1982 3
1984 4
1985 10
1986 17
1987 23
1988 17
1989 27
1990 31
1991 41
1992 45
1993 51
1994 56
1995 59
1996 74
1997 57
1998 63
1999 95
2000 114
2001 134
2002 120
2003 134
2004 135
2005 140
2006 152
2007 175
2008 176
2009 181
2010 183
2011 195
2012 227
2013 255
2014 250
2015 257
2016 258
2017 285
2018 311
2019 307
2020 315
2021 325
2022 321
2023 344
2024 114

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5,684 results

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Page 1
Attractor-driven matter.
Valani RN, Paganin DM. Valani RN, et al. Chaos. 2023 Feb;33(2):023125. doi: 10.1063/5.0107401. Chaos. 2023. PMID: 36859218
In this paper, we explore the idea of giving internal complexity to the particles, by attributing to each particle an internal state space that is represented by a point on a strange (or otherwise) attracting set. It is, of course, very well known that strange attractors a …
In this paper, we explore the idea of giving internal complexity to the particles, by attributing to each particle an internal state space t …
Neural Networks for Navigation: From Connections to Computations.
Wilson RI. Wilson RI. Annu Rev Neurosci. 2023 Jul 10;46:403-423. doi: 10.1146/annurev-neuro-110920-032645. Annu Rev Neurosci. 2023. PMID: 37428603 Free article. Review.
These maps are organized around networks with stable fixed-point dynamics (attractors), anchored to landmarks, and reciprocally connected to motor control. ...Functional synapses appear to be continually reselected from the set of anatomical potential synapses based on the …
These maps are organized around networks with stable fixed-point dynamics (attractors), anchored to landmarks, and reciprocally conne …
Attractor and integrator networks in the brain.
Khona M, Fiete IR. Khona M, et al. Nat Rev Neurosci. 2022 Dec;23(12):744-766. doi: 10.1038/s41583-022-00642-0. Epub 2022 Nov 3. Nat Rev Neurosci. 2022. PMID: 36329249 Review.
In this Review, we describe the singular success of attractor neural network models in describing how the brain maintains persistent activity states for working memory, corrects errors and integrates noisy cues. We consider the mechanisms by which simple and forgetful unit …
In this Review, we describe the singular success of attractor neural network models in describing how the brain maintains persistent …
The fractional-order Lorenz-type systems: A review.
Petráš I. Petráš I. Fract Calc Appl Anal. 2022;25(2):362-377. doi: 10.1007/s13540-022-00016-4. Epub 2022 Apr 18. Fract Calc Appl Anal. 2022. PMID: 35465148 Free PMC article. Review.
Several chaotic systems, as particular cases of the new general form, which belong to large Lorenz family, are presented together with equilibria, eigenvalues as well as attractors of these systems in 3-dimensional state space, respectively....
Several chaotic systems, as particular cases of the new general form, which belong to large Lorenz family, are presented together with equil …
Basins with Tentacles.
Zhang Y, Strogatz SH. Zhang Y, et al. Phys Rev Lett. 2021 Nov 5;127(19):194101. doi: 10.1103/PhysRevLett.127.194101. Phys Rev Lett. 2021. PMID: 34797139
To explore basin geometry in high-dimensional dynamical systems, we consider a ring of identical Kuramoto oscillators. Many attractors coexist in this system; each is a twisted periodic orbit characterized by a winding number q, with basin size proportional to e^{-kq^{2}}. …
To explore basin geometry in high-dimensional dynamical systems, we consider a ring of identical Kuramoto oscillators. Many attractors …
Reconciling Non-Genetic Plasticity with Somatic Evolution in Cancer.
Huang S. Huang S. Trends Cancer. 2021 Apr;7(4):309-322. doi: 10.1016/j.trecan.2020.12.007. Epub 2021 Feb 1. Trends Cancer. 2021. PMID: 33536158 Review.
But cancer genome and transcriptome analyses now paint a picture far more complex, prompting us to see beyond the Darwinian scheme: non-genetic cell phenotype plasticity explained by alternative stable gene expression states ('attractors'), may also produce aggressive phen …
But cancer genome and transcriptome analyses now paint a picture far more complex, prompting us to see beyond the Darwinian scheme: non-gene …
Topological synchronization of chaotic systems.
Lahav N, Sendiña-Nadal I, Hens C, Ksherim B, Barzel B, Cohen R, Boccaletti S. Lahav N, et al. Sci Rep. 2022 Feb 15;12(1):2508. doi: 10.1038/s41598-022-06262-z. Sci Rep. 2022. PMID: 35169176 Free PMC article.
A chaotic dynamics is typically characterized by the emergence of strange attractors with their fractal or multifractal structure. On the other hand, chaotic synchronization is a unique emergent self-organization phenomenon in nature. ...Recently, however, we attempted a m …
A chaotic dynamics is typically characterized by the emergence of strange attractors with their fractal or multifractal structure. On …
Attractor detection and enumeration algorithms for Boolean networks.
Mori T, Akutsu T. Mori T, et al. Comput Struct Biotechnol J. 2022 May 21;20:2512-2520. doi: 10.1016/j.csbj.2022.05.027. eCollection 2022. Comput Struct Biotechnol J. 2022. PMID: 35685366 Free PMC article. Review.
The state of a BN is determined from the previous state and eventually reaches a stable state called an attractor. Due to its significance for elucidating the whole system, extensive studies have been conducted on analysis of attractors. However, the problem of dete …
The state of a BN is determined from the previous state and eventually reaches a stable state called an attractor. Due to its signifi …
Mechanisms Underlying the Neural Computation of Head Direction.
Hulse BK, Jayaraman V. Hulse BK, et al. Annu Rev Neurosci. 2020 Jul 8;43:31-54. doi: 10.1146/annurev-neuro-072116-031516. Epub 2019 Dec 24. Annu Rev Neurosci. 2020. PMID: 31874068 Review.
Across species, most head-direction networks share four key properties: a unique representation of direction at all times, persistent activity in the absence of movement, integration of angular velocity to update the representation, and the use of directional cues to correct drif …
Across species, most head-direction networks share four key properties: a unique representation of direction at all times, persistent activi …
Bayesian inference in ring attractor networks.
Kutschireiter A, Basnak MA, Wilson RI, Drugowitsch J. Kutschireiter A, et al. Proc Natl Acad Sci U S A. 2023 Feb 28;120(9):e2210622120. doi: 10.1073/pnas.2210622120. Epub 2023 Feb 22. Proc Natl Acad Sci U S A. 2023. PMID: 36812206 Free PMC article.
Working memories are thought to be held in attractor networks in the brain. These attractors should keep track of the uncertainty associated with each memory, so as to weigh it properly against conflicting new evidence. However, conventional attractors do not …
Working memories are thought to be held in attractor networks in the brain. These attractors should keep track of the uncertai …
5,684 results