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- W3204821210 abstract "Chemotaxis performed by C. Elegans worm has inspired simple Spiking Neural Networks to perform navigation and contour tracking efficiently in 2D planar concentration space. Extending it to 3D media, i.e. a new degree of freedom has quite a few challenges. In this work, we aim to devise an end-to-end spiking implementation for reaching a set concentration followed by contour tracking in 3D media. Here we devise an algorithm based on klinokinesis - where the worm’s motion is in response to the stimuli but not proportional to it. Thus the path followed is not the shortest, but we can track the set concentration successfully. Most significantly, we are using simple leaky-integrate and fire (LIF) neurons for the neural network implementation, considering the feasibility on the neuromorphic computing hardware." @default.
- W3204821210 created "2021-10-11" @default.
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- W3204821210 date "2021-01-01" @default.
- W3204821210 modified "2023-10-14" @default.
- W3204821210 title "Algorithm for 3D-Chemotaxis Using Spiking Neural Network" @default.
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- W3204821210 doi "https://doi.org/10.1007/978-3-030-86383-8_17" @default.
- W3204821210 hasPublicationYear "2021" @default.
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