AIMC Topic: Space Perception
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Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience.
Neural networks : the official journal of the International Neural Network Society
Jun 15, 2018
In line with the sensorimotor contingency theory, we investigate the problem of the perception of space from a fundamental sensorimotor perspective. Despite its pervasive nature in our perception of the world, the origin of the concept of space remai...
Neuronal network-based mathematical modeling of perceived verticality in acute unilateral vestibular lesions: from nerve to thalamus and cortex.
Journal of neurology
May 29, 2018
Acute unilateral lesions of vestibular graviceptive pathways from the otolith organs and semicircular canals via vestibular nuclei and the thalamus to the parieto-insular vestibular cortex regularly cause deviations of perceived verticality in the fr...
How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats.
eNeuro
Apr 27, 2018
Specialized brain structures encode spatial locations and movements, yet there is growing evidence that this information is also represented in the rodent medial prefrontal cortex (mPFC). Disambiguating such information from the encoding of other typ...
Pseudoneglect in Visual Search: Behavioral Evidence and Connectional Constraints in Simulated Neural Circuitry.
eNeuro
Dec 28, 2017
Most people tend to bisect horizontal lines slightly to the left of their true center (pseudoneglect) and start visual search from left-sided items. This physiological leftward spatial bias may depend on hemispheric asymmetries in the organization of...
Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces.
Computational intelligence and neuroscience
Nov 7, 2017
From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) to assist people that somehow find it difficult or impossible to perform certain activities. Focusing on...
A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines.
Journal of neuroscience methods
Oct 7, 2017
BACKGROUND: Functional transcranial Doppler (fTCD) is an ultrasound based neuroimaging technique used to assess neural activation that occurs during a cognitive task through measuring velocity of cerebral blood flow.
Imagination
Ultrasonography, Doppler, Transcranial
Blood Flow Velocity
Neuropsychological Tests
Cerebrovascular Circulation
Space Perception
Cognition
Support Vector Machine
Feasibility Studies
Rotation
Linear Models
Rest
Brain-Computer Interfaces
Wavelet Analysis
Female
Young Adult
Male
Functional Neuroimaging
Humans
Brain
Language
Deep learning with convolutional neural networks for EEG decoding and visualization.
Human brain mapping
Aug 7, 2017
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end-to-end EEG analysis, but...
Qualitative spatial logic descriptors from 3D indoor scenes to generate explanations in natural language.
Cognitive processing
Jun 24, 2017
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cogn...
Statistical learning of parts and wholes: A neural network approach.
Journal of experimental psychology. General
Jan 12, 2017
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contr...
Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?
Journal of neuroengineering and rehabilitation
Oct 12, 2016
BACKGROUND: KINARM end point robotic testing on a range of tasks evaluating sensory, motor and cognitive function in children/adolescents with no neurologic impairment has been shown to be reliable. The objective of this study was to determine whethe...
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