AIMC Topic: Vision, Ocular

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Universal dimensions of visual representation.

Science advances Jul 2, 2025
Do visual neural networks learn brain-aligned representations because they share architectural constraints and task objectives with biological vision or because they share universal features of natural image processing? We characterized the universal...
Humans Neural Networks, Computer Brain Mapping Vision, Ocular Visual Perception Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware.

Nature communications Jan 2, 2025
Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing bio-physically realistic dynamics of biological neural systems in real-time. However, similar to their biological counterparts, these circuits have limited re...
Humans Visual Pathways Visual Cortex Neural Networks, Computer Models, Neurological Orientation Neurons Vision, Ocular Photic Stimulation
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DICCR: Double-gated intervention and confounder causal reasoning for vision-language navigation.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2024
Vision-language navigation (VLN) is a challenging task that requires agents to capture the correlation between different modalities from redundant information according to instructions, and then make sequential decisions on visual scenes and text ins...
Vision, Ocular Causality Decision Making Semantics Algorithms Language Humans Neural Networks, Computer
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Direct perception of affective valence from vision.

Nature communications Dec 30, 2024
Subjective feelings are thought to arise from conceptual and bodily states. We examine whether the valence of feelings may also be decoded directly from objective ecological statistics of the visual environment. We train a visual valence (VV) machine...
Male Emotions Vision, Ocular Young Adult Adult Photic Stimulation Visual Perception Humans Machine Learning Brain Female
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Teaching deep networks to see shape: Lessons from a simplified visual world.

PLoS computational biology Nov 11, 2024
Deep neural networks have been remarkably successful as models of the primate visual system. One crucial problem is that they fail to account for the strong shape-dependence of primate vision. Whereas humans base their judgements of category membersh...
Neural Networks, Computer Algorithms Animals Deep Learning Image Processing, Computer-Assisted Computational Biology Vision, Ocular Humans Visual Perception
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Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio-inspired Electronic Eyes and Neuromorphic Image Sensors.

Advanced materials (Deerfield Beach, Fla.) Oct 14, 2024
In robotics, particularly for autonomous navigation and human-robot collaboration, the significance of unconventional imaging techniques and efficient data processing capabilities is paramount. The unstructured environments encountered by robots, cou...
Robotics Biomimetics Vision, Ocular Humans Visual Perception Neural Networks, Computer Animals
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Neuroscientific insights about computer vision models: a concise review.

Biological cybernetics Oct 9, 2024
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the hi...
Neural Networks, Computer Computer Simulation Animals Humans Vision, Ocular Neurosciences Visual Pathways Models, Neurological Neurons
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Microsaccade-inspired event camera for robotics.

Science robotics May 29, 2024
Neuromorphic vision sensors or event cameras have made the visual perception of extremely low reaction time possible, opening new avenues for high-dynamic robotics applications. These event cameras' output is dependent on both motion and texture. How...
Fixation, Ocular Saccades Vision, Ocular Visual Perception Humans Software Reaction Time Algorithms Eye Movements Motion Robotics Biomimetics Equipment Design
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A Spiking Artificial Vision Architecture Based on Fully Emulating the Human Vision.

Advanced materials (Deerfield Beach, Fla.) Feb 13, 2024
Intelligent vision necessitates the deployment of detectors that are always-on and low-power, mirroring the continuous and uninterrupted responsiveness characteristic of human vision. Nonetheless, contemporary artificial vision systems attain this go...
Synapses Artificial Intelligence Humans Vision, Ocular Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Intelligent robotics harvesting system process for fruits grasping prediction.

Scientific reports Feb 3, 2024
This paper proposes and executes an in-depth learning-based image processing approach for self-picking apples. The system includes a lightweight one-step detection network for fruit recognition. As well as computer vision to analyze the point class a...
Fruit Vision, Ocular Image Processing, Computer-Assisted Hand Strength Robotics
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