中文
相关论文

相关论文: Symmetry group factorization reveals the structure…

200 篇论文

Capturing how the Caenorhabditis elegans connectome structure gives rise to its neuron functionality remains unclear. It is through fiber symmetries found in its neuronal connectivity that synchronization of a group of neurons can be…

神经元与认知 · 定量生物学 2024-05-07 Bryant Avila , Pedro Augusto , Manuel Zimmer , Matteo Serafino , Hernán A. Makse

Understanding the dynamical behavior of complex systems from their underlying network architectures is a long-standing question in complexity theory. Therefore, many metrics have been devised to extract network features like motifs,…

神经元与认知 · 定量生物学 2024-09-05 Bryant Avila , Pedro Augusto , David Phillips , Tommaso Gili , Manuel Zimmer , Hernán A. Makse

The connectome, or the entire connectivity of a neural system represented by network, ranges various scales from synaptic connections between individual neurons to fibre tract connections between brain regions. Although the modularity they…

神经元与认知 · 定量生物学 2014-10-01 Jinseop S. Kim , Marcus Kaiser

We investigate how locomotory behavior is generated in the brain focusing on the paradigmatic connectome of nematode Caenorhabditis elegans (C. elegans) and on neuronal activity patterns that control forward locomotion. We map the neuronal…

适应与自组织系统 · 物理学 2020-06-17 Thomas Maertens , Eckehard Schöll , Jorge Ruiz , Philipp Hövel

Probing the developing neural circuitry in Caenorhabditis elegans has enhanced our understanding of nervous systems. The C. elegans connectome, like those of other species, is characterized by a rich club of densely connected neurons…

神经元与认知 · 定量生物学 2021-08-26 Alec Helm , Ann S. Blevins , Danielle S. Bassett

The fundamental relationship between the mesoscopic structure of neuronal circuits and organismic functions they subserve is one of the major challenges in contemporary neuroscience. Formation of structurally connected modules of neurons…

神经元与认知 · 定量生物学 2024-01-12 Arsenii Onuchin , Alina Chernizova , Mikhail Lebedev , Kirill Polovnikov

We exploit flow propagation on the directed neuronal network of the nematode Caenorhabditis elegans to reveal dynamically relevant features of its connectome. We find flow-based groupings of neurons at different levels of granularity, which…

神经元与认知 · 定量生物学 2016-08-09 Karol A. Bacik , Michael T. Schaub , Mariano Beguerisse-Díaz , Yazan N. Billeh , Mauricio Barahona

The brain is one of the most studied and highly complex systems in the biological world. It is the information center behind all vertebrate and most invertebrate life, and thus has become a major focus in current research. While many of…

神经元与认知 · 定量生物学 2015-03-19 Daniel J. Kelleher , Tyler M. Reese , Dylan T. Yott , Antoni Brzoska

There is renewed interest in modeling and understanding the nervous system of the nematode $\textit{Caenorhabditis elegans}$ ($\textit{C. elegans}$), as this small model system provides a path to bridge the gap between nervous system…

神经元与认知 · 定量生物学 2025-05-20 Quilee Simeon , Anshul Kashyap , Konrad P Kording , Edward S Boyden

In large neuronal networks, it is believed that functions emerge through the collective behavior of many interconnected neurons. Recently, the development of experimental techniques that allow simultaneous recording of calcium concentration…

生物物理 · 物理学 2019-06-05 Xiaowen Chen , Francesco Randi , Andrew M. Leifer , William Bialek

A central problem of neuroscience involves uncovering the principles governing the organization of nervous systems which ensure robustness in brain development. The nematode Caenorhabditis elegans provides us with a model organism for…

神经元与认知 · 定量生物学 2020-07-01 Anand Pathak , Nivedita Chatterjee , Sitabhra Sinha

One of the biggest challenges in biology is to understand how activity at the cellular level of neurons, as a result of their mutual interactions, leads to the observed behavior of an organism responding to a variety of environmental…

神经元与认知 · 定量生物学 2010-03-09 Raj Kumar Pan , Nivedita Chatterjee , Sitabhra Sinha

Network flow is a powerful mathematical framework to systematically explore the relationship between structure and function in biological, social, and technological networks. We introduce a new pipelining model of flow through networks…

神经与进化计算 · 计算机科学 2019-11-04 Lavanya Marla , Lav R. Varshney , Devavrat Shah , Nirmal A. Prakash , Michael E. Gale

Brain research has been driven by enquiry for principles of brain structure organization and its control mechanisms. The neuronal wiring map of C. elegans, the only complete connectome available till date, presents an incredible opportunity…

神经元与认知 · 定量生物学 2016-11-28 Rahul Badhwar , Ganesh Bagler

The connectome describes the complete set of synaptic contacts through which neurons communicate. While the architecture of the $\textit{C. elegans}$ connectome has been extensively characterized, much less is known about the organization…

神经元与认知 · 定量生物学 2025-09-18 Sophie Dvali , Caio Seguin , Richard Betzel , Andrew M. Leifer

Despite recent interest in reconstructing neuronal networks, complete wiring diagrams on the level of individual synapses remain scarce and the insights into function they can provide remain unclear. Even for Caenorhabditis elegans, whose…

神经元与认知 · 定量生物学 2011-02-07 Lav R. Varshney , Beth L. Chen , Eric Paniagua , David H. Hall , Dmitri B. Chklovskii

The nematode Caenorhabditis elegans, with information on neural connectivity, three-dimensional position and cell linage provides a unique system for understanding the development of neural networks. Although C. elegans has been widely…

生物物理 · 物理学 2011-01-17 Sreedevi Varier , Marcus Kaiser

The nervous system of the nematode soil worm Caenorhabditis elegans exhibits remarkable complexity despite the worm's small size. A general challenge is to better understand the relationship between neural organization and neural activity…

神经元与认知 · 定量生物学 2020-10-30 Alejandro Morales , Tom Froese

Matrices are two-dimensional data structures allowing one to conceptually organize information. For example, adjacency matrices are useful to store the links of a network; correlation matrices are simple ways to arrange gene co-expression…

无序系统与神经网络 · 物理学 2022-09-29 Flaviano Morone

{\it Caenorhabditis elegans} nematode worms are the only animals with the known detailed neural connectivity diagram, well characterized genomics, and relatively simple quantifiable behavioral output. With this in mind, many researchers…

神经元与认知 · 定量生物学 2019-10-17 Jan Karbowski
‹ 上一页 1 2 3 10 下一页 ›