AIMC Topic: Saccades

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Microstimulation in a spiking neural network model of the midbrain superior colliculus.

PLoS computational biology Apr 12, 2019
The midbrain superior colliculus (SC) generates a rapid saccadic eye movement to a sensory stimulus by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical microstimulation in the SC reveals that the...
Nerve Net Haplorhini Electric Stimulation Action Potentials Neurons Saccades Superior Colliculi Humans Neural Networks, Computer Animals Computational Biology Models, Neurological
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Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 7, 2019
Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentrated on estimating static salient locations. In contrast, dynamic attributes presented by saccade hav...
Saccades Image Processing, Computer-Assisted Models, Neurological Attention Male Deep Learning Humans Algorithms Female Databases, Factual Young Adult Adult
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Human-level saccade detection performance using deep neural networks.

Journal of neurophysiology Dec 19, 2018
Saccades are ballistic eye movements that rapidly shift gaze from one location of visual space to another. Detecting saccades in eye movement recordings is important not only for studying the neural mechanisms underlying sensory, motor, and cognitive...
Humans Neural Networks, Computer Male Macaca mulatta Sensitivity and Specificity Saccades Animals
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Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

Sensors (Basel, Switzerland) Sep 14, 2016
We still do not know how the brain and its computations are affected by nerve cell deaths and their compensatory learning processes, as these develop in neurodegenerative diseases (ND). Compensatory learning processes are ND symptoms usually observed...
Male Middle Aged Parkinson Disease Saccades Machine Learning Algorithms Humans Female
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A neural model of the frontal eye fields with reward-based learning.

Neural networks : the official journal of the International Neural Network Society May 24, 2016
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, usin...
Saccades Decision Making Machine Learning Humans Frontal Lobe Animals Reaction Time Reward Choice Behavior Neural Networks, Computer Neurons Psychomotor Performance Orientation Visual Fields
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Maintaining visual stability in naturalistic scenes: The roles of trans-saccadic memory and default assumptions.

Cognition Sep 1, 2025
How is visual stability maintained across saccades? One theory poses the visual system has an underlying assumption that the visual world has not changed during the saccade, and scrutinization of trans-saccadic memory occurs only when there is strong...
Memory Humans Saccades Young Adult Photic Stimulation Female Adult Visual Perception Male
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A multiscale brain emulation-based artificial intelligence framework for dynamic environments.

Scientific reports May 21, 2025
Achieving general artificial intelligence (AGI) has long been a grand challenge in the field of AI, and brain-inspired computing is widely acknowledged as one of the most promising approaches to realize this goal. This paper introduces a novel brain-...
Humans Models, Neurological Neurons Saccades Artificial Intelligence Algorithms Brain
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A robotics-inspired scanpath model reveals the importance of uncertainty and semantic object cues for gaze guidance in dynamic scenes.

Journal of vision Feb 3, 2025
The objects we perceive guide our eye movements when observing real-world dynamic scenes. Yet, gaze shifts and selective attention are critical for perceiving details and refining object boundaries. Object segmentation and gaze behavior are, however,...
Fixation, Ocular Computer Simulation Saccades Humans Bayes Theorem Semantics Eye Movements Attention Photic Stimulation Robotics Cues Uncertainty
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DeepGaze III: Modeling free-viewing human scanpaths with deep learning.

Journal of vision Apr 6, 2022
Humans typically move their eyes in "scanpaths" of fixations linked by saccades. Here we present DeepGaze III, a new model that predicts the spatial location of consecutive fixations in a free-viewing scanpath over static images. DeepGaze III is a de...
Fixation, Ocular Saccades Humans Deep Learning
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Convolutional neural networks can decode eye movement data: A black box approach to predicting task from eye movements.

Journal of vision Jul 6, 2021
Previous attempts to classify task from eye movement data have relied on model architectures designed to emulate theoretically defined cognitive processes and/or data that have been processed into aggregate (e.g., fixations, saccades) or statistical ...
Neural Networks, Computer Eye Movements Saccades Humans
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