AIMC Topic: Pattern Recognition, Visual
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The neural representation of the gender of faces in the primate visual system: A computer modeling study.
Psychological review
Jan 9, 2017
We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synapt...
Minimalistic optic flow sensors applied to indoor and outdoor visual guidance and odometry on a car-like robot.
Bioinspiration & biomimetics
Nov 10, 2016
Here we present a novel bio-inspired optic flow (OF) sensor and its application to visual guidance and odometry on a low-cost car-like robot called BioCarBot. The minimalistic OF sensor was robust to high-dynamic-range lighting conditions and to var...
Effects of adaptation on numerosity decoding in the human brain.
NeuroImage
Sep 10, 2016
Psychophysical studies have shown that numerosity is a sensory attribute susceptible to adaptation. Neuroimaging studies have reported that, at least for relatively low numbers, numerosity can be accurately discriminated in the intra-parietal sulcus....
Event Recognition Based on Deep Learning in Chinese Texts.
PloS one
Aug 8, 2016
Event recognition is the most fundamental and critical task in event-based natural language processing systems. Existing event recognition methods based on rules and shallow neural networks have certain limitations. For example, extracting features u...
Motivating smokers to quit using computer-generated letters that target either reduction or cessation: A population-based randomized controlled trial among smokers who do not intend to quit.
Drug and alcohol dependence
Jul 15, 2016
BACKGROUND: This study examined the long-term efficacy of individualized counseling letters that targeted either smoking abstinence or reducing the number of cigarettes smoked per day to promote future cessation.
Atypical Asymmetry for Processing Human and Robot Faces in Autism Revealed by fNIRS.
PloS one
Jul 7, 2016
Deficits in the visual processing of faces in autism spectrum disorder (ASD) individuals may be due to atypical brain organization and function. Studies assessing asymmetric brain function in ASD individuals have suggested that facial processing, whi...
Extreme learning machine and adaptive sparse representation for image classification.
Neural networks : the official journal of the International Neural Network Society
Jun 23, 2016
Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy advantage of sparse representation classification (SRC) in the area of image classification. Those two methods, however, have their respective drawbacks,...
Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
PLoS computational biology
Apr 28, 2016
Theories of object recognition agree that shape is of primordial importance, but there is no consensus about how shape might be represented, and so far attempts to implement a model of shape perception that would work with realistic stimuli have larg...
Pattern recognition for electroencephalographic signals based on continuous neural networks.
Neural networks : the official journal of the International Neural Network Society
Apr 6, 2016
This study reports the design and implementation of a pattern recognition algorithm to classify electroencephalographic (EEG) signals based on artificial neural networks (NN) described by ordinary differential equations (ODEs). The training method fo...
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
NeuroImage
Apr 1, 2016
Human scene recognition is a rapid multistep process evolving over time from single scene image to spatial layout processing. We used multivariate pattern analyses on magnetoencephalography (MEG) data to unravel the time course of this cortical proce...
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