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Challenges in clustering C. elegans neurons using computational approaches.

, , , and . IJCNN, page 4775-4781. IEEE, (2016)

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NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images., , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 351-362. Springer, (2019)NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector., , , and . ACM Trans. Reconfigurable Technol. Syst., 16 (3): 36:1-36:23 (September 2023)Sensing and Artificial Perception for Robots in Precision Forestry: A Survey., , , , , and . Robotics, 12 (5): 139 (August 2023)Dynamic Training of Liquid State Machines., , , , , , and . CoRR, (2023)Computational models of object motion detectors accelerated using FPGA technology.. CoRR, (2023)Self-secured devices: High performance and secure I/O access in TrustZone-based systems., , , , and . J. Syst. Archit., (2021)Exploring the Role of Fear in Human Decision Making., , , , and . PETRA, page 505-510. ACM, (2023)Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans., , , , , , , , , and 7 other author(s). NEUROTECHNIX, page 189-194. SciTePress, (2014)Chapter 4 - Minimal resin embedding of multicellular specimens for targeted FIB-SEM imaging, , , , , and . Correlative Light and Electron Microscopy III, volume 140 of Methods in Cell Biology, Academic Press, (2017)C. elegans behavioural response germane to Hardware modelling., , , and . IJCNN, page 4743-4750. IEEE, (2016)