Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets

STEP2DYNA University of Lincoln researcher Hongxin Wang recently published a paper titled “Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets” in IEEE Transactions on Cybernetics. IEEE Transactions on Cybernetics is one of the top-tier journals that publish technical Continue reading Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets

A Robust Visual System for Looming Cue Detection Against Translating Motion

University of Lincoln PhD scholar Fang Lei recently published her paper F. Lei, Z. Peng, M. Liu, J. Peng, V. Cutsuridis and S. Yue, “A Robust Visual System for Looming Cue Detection Against Translating Motion,” in IEEE Transactions on Neural Networks Continue reading A Robust Visual System for Looming Cue Detection Against Translating Motion

University Of Lincoln Researcher Completes Secondment with Guangzhou University

University of Lincoln researcher Mu Hua has completed his Master’s degree and is applying for a PhD position to continue his exploration on the bio-inspired collision perception neural networks. STEP2DYNA researcher Mu Hua from the University of Lincoln has completed Continue reading University Of Lincoln Researcher Completes Secondment with Guangzhou University

The complex synaptic pathways onto a looming-detector neuron revealed using serial block-face scanning electron microscopy

STEP2DYNA Newcastle University researchers Stefan Wernitznig and Claire Rind have published a paper titled “The complex synaptic pathways onto a looming-detector neuron revealed using serial block-face scanning electron microscopy” in the Journal of Comparative Neurology. Figure 3 from this paper Continue reading The complex synaptic pathways onto a looming-detector neuron revealed using serial block-face scanning electron microscopy

Yicheng Zhang presents ‘Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network’ at ISAIC 2021

ISAIC 2021

Yicheng Zhang is a PhD student at the University of Lincoln and working on ULTRACEPT’s Work Package 3. Recently Yicheng Zhang attended the 2nd International Symposium on Automation, Information and Computing (ISAIC 2021) organized by Beijing Jiaotong University. Due to Continue reading Yicheng Zhang presents ‘Temperature-based Collision Detection in Extreme Low Light Condition with Bio-inspired LGMD Neural Network’ at ISAIC 2021

Yunlei Shi: Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks

Yunlei Shi: Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks

Yunlei Shi is a 4th year full-time Ph.D. student at the Universität Hamburg and working at project partner Agile Robots.  In 2020 he was seconded to Tsinghua University as part of the STEP2DYNA project. His work continues in the ULTRACEPT Continue reading Yunlei Shi: Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks

Enhancing LGMD’s Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

Enhancing LGMD’s Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

STEP2DYNA University of Lincoln researcher Jiannan Zhao recently published a paper titled “Enhancing LGMD’s Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections” on IEEE Transactions on Neural Networks and Learning Systems. IEEE Transactions on Neural Networks and Learning Systems Continue reading Enhancing LGMD’s Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

Siavash Bahrami Awarded Best Student Paper at International Conference ICCST2021

Eighth International Conference on Computational Science and Technology (ICCST2021)

Siavash Bahrami is a PhD candidate at Universiti Putra Malaysia (UPM), working on multimodal deep neural networks using acoustic and visual data for developing an active road safety system intended for autonomous and semi-autonomous vehicles. Siavash is contributing to ULTRACEPTs Continue reading Siavash Bahrami Awarded Best Student Paper at International Conference ICCST2021