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We demonstrate a spiking neural network for navigation motivated by the chemotaxis network of Caenorhabditis elegans. Our network uses information regarding temporal gradients in the tracking variable's concentration to make navigational…

Neural and Evolutionary Computing · Computer Science 2014-10-30 Shibani Santurkar , Bipin Rajendran

In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by the chemotaxis network of the worm Caenorhabditis elegans. In particular, we focus on the problem of contour tracking, wherein the bot must reach…

Neurons and Cognition · Quantitative Biology 2020-08-04 Shashwat Shukla , Rohan Pathak , Vivek Saraswat , Udayan Ganguly

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…

Adaptation and Self-Organizing Systems · Physics 2020-06-17 Thomas Maertens , Eckehard Schöll , Jorge Ruiz , Philipp Hövel

In this work, we aim to devise an end-to-end spiking implementation for contour tracking in 3D media inspired by chemotaxis, where the worm reaches the region which has the given set concentration. For a planer medium, efficient contour…

Neural and Evolutionary Computing · Computer Science 2021-07-01 Jayesh Choudhary , Vivek Saraswat , Udayan Ganguly

This study introduces an artificial neural network (ANN) for image classification task, inspired by the aversive olfactory learning circuits of the nematode Caenorhabditis elegans (C. elegans). Despite the remarkable performance of ANNs in…

Neural and Evolutionary Computing · Computer Science 2024-09-13 Xuebin Wang , Chunxiuzi Liu , Meng Zhao , Ke Zhang , Zengru Di , He Liu

Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest in neuroscience. The nematode C. elegans modulates its…

Neurons and Cognition · Quantitative Biology 2024-02-26 Kevin S. Chen , Anuj K. Sharma , Jonathan W. Pillow , Andrew M. Leifer

Determining neuronal identity in imaging data is an essential task in neuroscience, facilitating the comparison of neural activity across organisms. Cross-organism comparison, in turn, enables a wide variety of research including…

Neurons and Cognition · Quantitative Biology 2022-11-02 Arvind Seshan

{\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…

Neurons and Cognition · Quantitative Biology 2019-10-17 Jan Karbowski

C. elegans shows chemotaxis using klinokinesis where the worm senses the concentration based on a single concentration sensor to compute the concentration gradient to perform foraging through gradient ascent/descent towards the target…

Neurons and Cognition · Quantitative Biology 2021-05-05 Apoorv Kishore , Vivek Saraswat , Udayan Ganguly

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…

Neurons and Cognition · Quantitative Biology 2020-10-30 Alejandro Morales , Tom Froese

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…

Biological Physics · Physics 2011-01-17 Sreedevi Varier , Marcus Kaiser

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…

Neurons and Cognition · Quantitative Biology 2020-11-19 Carlos E. Valencia Urbina , Sergio A. Cannas , Pablo M. Gleiser

We introduce SIM-CE, an advanced, user-friendly modeling and simulation environment in Simulink for performing multi-scale behavioral analysis of the nervous system of Caenorhabditis elegans (C. elegans). SIM-CE contains an implementation…

Neurons and Cognition · Quantitative Biology 2017-03-28 Ramin M. Hasani , Victoria Beneder , Magdalena Fuchs , David Lung , Radu Grosu

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…

Neurons and Cognition · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 2016-11-28 Rahul Badhwar , Ganesh Bagler

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…

Neurons and Cognition · Quantitative Biology 2023-11-09 Francesco Randi , Anuj K. Sharma , Sophie Dvali , Andrew M. Leifer

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…

Neurons and Cognition · Quantitative Biology 2017-03-28 Ramin M. Hasani , Magdalena Fuchs , Victoria Beneder , Radu Grosu

C. elegans is the only animal for which a detailed neural connectivity diagram has been constructed. However, synaptic polarities in this diagram, and thus, circuit functions are largely unknown. Here, we deciphered the likely polarities of…

Neurons and Cognition · Quantitative Biology 2014-03-21 Franciszek Rakowski , Jagan Srinivasan , Paul W. Sternberg , Jan Karbowski

C. elegans locomotion is composed of switches between forward and reversal states punctuated by turns. This locomotory capability is necessary for the nematode to move towards attractive stimuli, escape noxious chemicals, and explore its…

Neurons and Cognition · Quantitative Biology 2025-01-03 Megan Morrison , Lai-Sang Young

Animals employ different strategies for relating sensory input to behavioral output to navigate sensory environments, but what strategy to use, when to switch and why remain unclear. In C. elegans, navigation is composed of 'steering' and…

Neurons and Cognition · Quantitative Biology 2025-08-04 Kevin S. Chen , Andrew M. Leifer , Jonathan W. Pillow
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