AIMC Topic: Photic Stimulation
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Semantic and structural image segmentation for prosthetic vision.
PloS one
Jan 29, 2020
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color ...
Machine learning validation of EEG+tACS artefact removal.
Journal of neural engineering
Jan 24, 2020
OBJECTIVE: Electroencephalography (EEG) recorded during transcranial alternating current simulation (tACS) is highly desirable in order to investigate brain dynamics during stimulation, but is corrupted by large amplitude stimulation artefacts. Artef...
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.
Neural computation
Jan 17, 2020
Sensory processing is increasingly conceived in a predictive framework in which neurons would constantly process the error signal resulting from the comparison of expected and observed stimuli. Surprisingly, few data exist on the accuracy of predicti...
Assessing various sensorimotor and cognitive functions in people with epilepsy is feasible with robotics.
Epilepsy & behavior : E&B
Jan 7, 2020
BACKGROUND: Epilepsy is a common neurological disorder characterized by recurrent seizures, along with comorbid cognitive and psychosocial impairment. Current gold standards of assessment can quantify cognitive and motor performance, but may not capt...
Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.
Journal of neural engineering
Jan 6, 2020
OBJECTIVE: Electroencephalogram (EEG) signals are non-stationary. This could be due to internal fluctuation of brain states such as fatigue, frustration, etc. This necessitates the development of adaptive brain-computer interfaces (BCI) whose perform...
Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments.
International journal of health geographics
Dec 11, 2019
BACKGROUND: Considerable number of indoor navigation systems has been proposed to augment people with visual impairments (VI) about their surroundings. These systems leverage several technologies, such as computer-vision, Bluetooth low energy (BLE), ...
Places as fuzzy locational categories.
Acta psychologica
Dec 2, 2019
This paper offers a new way of considering places as special types of categories, in human cognition of larger-scale environments. This may provide an explanatory cognitive model for a range of known phenomena from environmental psychology and human ...
Deep learning improves automated rodent behavior recognition within a specific experimental setup.
Journal of neuroscience methods
Nov 30, 2019
Automated observation and analysis of rodent behavior is important to facilitate research progress in neuroscience and pharmacology. Available automated systems lack adaptivity and can benefit from advances in AI. In this work we compare a state-of-t...
Abstract art paintings, global image properties, and verbal descriptions: An empirical and computational investigation.
Acta psychologica
Nov 16, 2019
While global image properties (GIPs) relate to preference ratings in many categories of visual stimuli, this relationship is typically not seen for abstract art paintings. Using computational network science and empirical methods, we further investig...
Embedding topological features into convolutional neural network salient object detection.
Neural networks : the official journal of the International Neural Network Society
Sep 25, 2019
Salient object detection can be applied as a critical preprocessing step in many computer vision tasks. Recent studies of salient object detection mainly employed convolutional neural networks (CNNs) for mining high-level semantic properties. However...
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