AIMC Topic: Photic Stimulation
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Machine learning accurately classifies age of toddlers based on eye tracking.
Scientific reports
Apr 18, 2019
How people extract visual information from complex scenes provides important information about cognitive processes. Eye tracking studies that have used naturalistic, rather than highly controlled experimental stimuli, reveal that variability in looki...
Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus.
Neural computation
Apr 12, 2019
Although deep neural networks (DNNs) have led to many remarkable results in cognitive tasks, they are still far from catching up with human-level cognition in antinoise capability. New research indicates how brittle and susceptible current models are...
Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.
Journal of neurophysiology
Apr 10, 2019
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, but it has low throughput, is difficult to scale, and requires highly skilled operation. We developed an autonomous robot that can acquire multiple cons...
Continuous learning in single-incremental-task scenarios.
Neural networks : the official journal of the International Neural Network Society
Apr 5, 2019
It was recently shown that architectural, regularization and rehearsal strategies can be used to train deep models sequentially on a number of disjoint tasks without forgetting previously acquired knowledge. However, these strategies are still unsati...
An unsupervised neuromorphic clustering algorithm.
Biological cybernetics
Apr 3, 2019
Brains perform complex tasks using a fraction of the power that would be required to do the same on a conventional computer. New neuromorphic hardware systems are now becoming widely available that are intended to emulate the more power efficient, hi...
Does watching Han Solo or C-3PO similarly influence our language processing?
Psychological research
Apr 1, 2019
Several studies have demonstrated that perceiving an action influences the subsequent processing of action verbs. However, which characteristics of the perceived action are truly determinant to enable this influence is still unknown. The current stud...
Modeling second-order boundary perception: A machine learning approach.
PLoS computational biology
Mar 18, 2019
Visual pattern detection and discrimination are essential first steps for scene analysis. Numerous human psychophysical studies have modeled visual pattern detection and discrimination by estimating linear templates for classifying noisy stimuli defi...
Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.
Scientific reports
Mar 7, 2019
A comprehensive understanding of the stimulus-response properties of individual neurons is necessary to crack the neural code of sensory cortices. However, a barrier to achieving this goal is the difficulty of analysing the nonlinearity of neuronal r...
Speech synthesis from ECoG using densely connected 3D convolutional neural networks.
Journal of neural engineering
Mar 4, 2019
OBJECTIVE: Direct synthesis of speech from neural signals could provide a fast and natural way of communication to people with neurological diseases. Invasively-measured brain activity (electrocorticography; ECoG) supplies the necessary temporal and ...
A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation.
IEEE transactions on neural networks and learning systems
Feb 5, 2019
Previous studies on robotic rehabilitation have shown that subjects' active participation and effort involved in rehabilitation training can promote the performance of therapies. In order to improve the voluntary effort of participants during the reh...
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