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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

Connectomics has focused primarily on the mapping of synaptic links in the brain; yet it is well established that extrasynaptic volume transmission, especially via monoamines and neuropeptides, is also critical to brain function. Here we…

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

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

A fundamental problem in neuroscience is understanding how a network's properties dictate its function. Connectomics provides one avenue to predict nervous system function. To test this explicitly, we systematically measure signal…

神经元与认知 · 定量生物学 2023-11-09 Francesco Randi , Anuj K. Sharma , Sophie Dvali , Andrew M. Leifer

We develop a biophysical model of neuro-sensory integration in the model organism Caenorhabditis elegans. Building on recent experimental findings of the neuron conductances and their resolved connectome, we posit the first full dynamic…

神经元与认知 · 定量生物学 2015-06-17 James Kunert , Eli Shlizerman , J. Nathan Kutz

We propose a data-driven approach to represent neuronal network dynamics as a Probabilistic Graphical Model (PGM). Our approach learns the PGM structure by employing dimension reduction to network response dynamics evoked by stimuli applied…

神经元与认知 · 定量生物学 2017-11-02 Hexuan Liu , Jimin Kim , Eli Shlizerman

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

Swimming cells and microorganisms are a critical component of many biological processes. In order to better interpret experimental studies of low Reynolds number swimming, we combine experimental and numerical methods to perform an analysis…

流体动力学 · 物理学 2016-09-14 Thomas D. Montenegro-Johnson , David A. Gagnon , Paulo E. Arratia , Eric Lauga

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

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

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

Caenorhabditis elegans (C. elegans) illustrated remarkable behavioral plasticities including complex non-associative and associative learning representations. Understanding the principles of such mechanisms presumably leads to constructive…

神经元与认知 · 定量生物学 2017-03-28 Ramin M. Hasani , Magdalena Fuchs , Victoria Beneder , Radu Grosu

Control is essential to the functioning of any neural system. Indeed, under healthy conditions the brain must be able to continuously maintain a tight functional control between the system's inputs and outputs. One may therefore hypothesise…

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

The neural connectome of the nematode Caenorhabditis elegans has been completely mapped, yet in spite of being one of the smallest connectomes (302 neurons), the design principles that explain how the connectome structure determines its…

无序系统与神经网络 · 物理学 2020-01-08 Flaviano Morone , Hernan A. Makse

Motif discovery is a powerful and insightful method to quantify network structures and explore their function. As a case study, we present a comprehensive analysis of regulatory motifs in the connectome of the model organism Caenorhabditis…

分子网络 · 定量生物学 2024-09-02 Deepak Sharma , Matthias Renz , Philipp Hövel

Neural communication operates on both fast synaptic transmission and slower, diffusive extrasynaptic signaling, yet how these two modes jointly organize brain function remains unclear. Here, using the complete synaptic and neuropeptidergic…

神经元与认知 · 定量生物学 2026-04-03 Giridhar Sunil , Habib Benali , Elkaïoum M. Moutuou

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

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
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