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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 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

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

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 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

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

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

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

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

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

The connectome is a wiring diagram mapping all the neural connections in the brain. At the cellular level, it provides a map of the neurons and synapses within a part or all of the brain of an organism. In recent years, significant advances…

神经元与认知 · 定量生物学 2022-06-01 Adrián Hernández , José M. Amigó

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

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

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

This research report introduces ElegansNet, a neural network that mimics real-world neuronal network circuitry, with the goal of better understanding the interplay between connectome topology and deep learning systems. The proposed approach…

神经与进化计算 · 计算机科学 2024-04-01 Francesco Bardozzo , Andrea Terlizzi , Pietro Liò , Roberto Tagliaferri

We investigate joint graph inference for the chemical and electrical connectomes of the \textit{Caenorhabditis elegans} roundworm. The \textit{C.elegans} connectomes consist of $253$ non-isolated neurons with known functional attributes,…

应用统计 · 统计学 2015-08-06 Li Chen , Joshua T. Vogelstein , Vince Lyzinski , Carey E. Priebe

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…

We analyse the neural dynamics and its relation with the emergent behaviour of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot…

神经元与认知 · 定量生物学 2020-11-19 Carlos E. Valencia Urbina , Sergio A. Cannas , Pablo M. Gleiser

Molecular networks act as the backbone of cellular activities, providing an {excellent} opportunity to understand the developmental changes in an organism. While network data usually constitute only stationary network graphs, constructing…

分子网络 · 定量生物学 2016-02-29 Pramod Shinde , Sarika Jalan
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