AIMC Topic: Motion Perception
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Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity.
Computational intelligence and neuroscience
May 2, 2019
Recognizing and tracking the direction of moving stimuli is crucial to the control of much animal behaviour. In this study, we examine whether a bio-inspired model of synaptic plasticity implemented in a robotic agent may allow the discrimination of ...
Optimal trajectory generation for time-to-contact based aerial robotic perching.
Bioinspiration & biomimetics
Nov 27, 2018
Many biological organisms (e.g. insects, birds, and mammals) rely on the perception of an informational variable called time-to-contact (TTC) to control their motion for various tasks such as avoiding obstacles, landing, or interception. TTC, defined...
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law.
Bioinspiration & biomimetics
Sep 21, 2017
The aim of this study is to derive a guidance law by which an unmanned aerial system(s) (UAS) can pursue a moving target at a constant distance, while concealing its own motion. We derive a closed-form solution for the trajectory of the UAS by imposi...
Scaling up liquid state machines to predict over address events from dynamic vision sensors.
Bioinspiration & biomimetics
Sep 1, 2017
Short-term visual prediction is important both in biology and robotics. It allows us to anticipate upcoming states of the environment and therefore plan more efficiently. In theoretical neuroscience, liquid state machines have been proposed as a biol...
The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing.
Journal of neuroscience methods
Nov 11, 2016
BACKGROUND: Motion-onset visual evoked potentials (mVEP) can provide a softer stimulus with reduced fatigue, and it has potential applications for brain computer interface(BCI)systems. However, the mVEP waveform is seriously masked in the strong back...
Believing androids - fMRI activation in the right temporo-parietal junction is modulated by ascribing intentions to non-human agents.
Social neuroscience
Sep 2, 2016
Attributing mind to interaction partners has been shown to increase the social relevance we ascribe to others' actions and to modulate the amount of attention dedicated to them. However, it remains unclear how the relationship between higher-order mi...
On the other hand: Increased cortical activation to human versus mechanical hands in infants.
NeuroImage
Jul 11, 2016
There is a large body of work demonstrating that infants are sensitive to the distinction between human and mechanical entities from the early months of life, and have different expectations for the way these entities move and interact. The current w...
A GPU-accelerated cortical neural network model for visually guided robot navigation.
Neural networks : the official journal of the International Neural Network Society
Oct 9, 2015
Humans and other terrestrial animals use vision to traverse novel cluttered environments with apparent ease. On one hand, although much is known about the behavioral dynamics of steering in humans, it remains unclear how relevant perceptual variables...
A minimum attention control law for ball catching.
Bioinspiration & biomimetics
Oct 6, 2015
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...
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