[HTML][HTML] Neural basis for looming size and velocity encoding in the Drosophila giant fiber escape pathway
JM Ache, J Polsky, S Alghailani, R Parekh, P Breads… - Current Biology, 2019 - cell.com
Identified neuron classes in vertebrate cortical [1–4] and subcortical [5–8] areas and
invertebrate peripheral [9–11] and central [12–14] brain neuropils encode specific visual …
invertebrate peripheral [9–11] and central [12–14] brain neuropils encode specific visual …
Neural circuit mechanisms involved in animals' detection of and response to visual threats
Q Wu, Y Zhang - Neuroscience Bulletin, 2023 - Springer
Evading or escaping from predators is one of the most crucial issues for survival across the
animal kingdom. The timely detection of predators and the initiation of appropriate fight-or …
animal kingdom. The timely detection of predators and the initiation of appropriate fight-or …
Inhibitory interactions and columnar inputs to an object motion detector in Drosophila
The direction-selective T4/T5 cells innervate optic-flow processing projection neurons in the
lobula plate of the fly that mediate the visual control of locomotion. In the lobula, visual …
lobula plate of the fly that mediate the visual control of locomotion. In the lobula, visual …
Core processing neuron‐enabled circuit motifs for neuromorphic computing
Based on brain‐inspired computing frameworks, neuromorphic systems implement large‐
scale neural networks in hardware. Although rapid advances have been made in the …
scale neural networks in hardware. Although rapid advances have been made in the …
Neonicotinoid and sulfoximine pesticides differentially impair insect escape behavior and motion detection
RH Parkinson, S Zhang… - Proceedings of the …, 2020 - National Acad Sciences
Insect nervous systems offer unique advantages for studying interactions between sensory
systems and behavior, given their complexity with high tractability. By examining the neural …
systems and behavior, given their complexity with high tractability. By examining the neural …
Contrast polarity-specific mapping improves efficiency of neuronal computation for collision detection
Neurons receive information through their synaptic inputs, but the functional significance of
how those inputs are mapped on to a cell's dendrites remains unclear. We studied this …
how those inputs are mapped on to a cell's dendrites remains unclear. We studied this …
[HTML][HTML] A computationally efficient and robust looming perception model based on dynamic neural field
There are primarily two classes of bio-inspired looming perception visual systems. The first
class employs hierarchical neural networks inspired by well-acknowledged anatomical …
class employs hierarchical neural networks inspired by well-acknowledged anatomical …
A C. elegans neuron both promotes and suppresses motor behavior to fine tune motor output
How neural circuits drive behavior is a central question in neuroscience. Proper execution of
motor behavior requires precise coordination of many neurons. Within a motor circuit …
motor behavior requires precise coordination of many neurons. Within a motor circuit …
Artificial fly visual joint perception neural network inspired by multiple-regional collision detection
L Li, Z Zhang, J Lu - Neural Networks, 2021 - Elsevier
The biological visual system includes multiple types of motion sensitive neurons which
preferentially respond to specific perceptual regions. However, it still keeps open how to …
preferentially respond to specific perceptual regions. However, it still keeps open how to …
Approaching object acceleration differentially affects the predictions of neuronal collision avoidance models
The processing of visual information for collision avoidance has been investigated at the
biophysical level in several model systems. In grasshoppers, the (so-called) η model …
biophysical level in several model systems. In grasshoppers, the (so-called) η model …