AIMC Topic: Neurons
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Interactive Exploration for Continuously Expanding Neuron Databases.
Methods (San Diego, Calif.)
Feb 17, 2017
This paper proposes a novel framework to help biologists explore and analyze neurons based on retrieval of data from neuron morphological databases. In recent years, the continuously expanding neuron databases provide a rich source of information to ...
Performance of an insect-inspired target tracker in natural conditions.
Bioinspiration & biomimetics
Feb 16, 2017
Robust and efficient target-tracking algorithms embedded on moving platforms, are a requirement for many computer vision and robotic applications. However, deployment of a real-time system is challenging, even with the computational power of modern h...
Learning by stimulation avoidance: A principle to control spiking neural networks dynamics.
PloS one
Feb 3, 2017
Learning based on networks of real neurons, and learning based on biologically inspired models of neural networks, have yet to find general learning rules leading to widespread applications. In this paper, we argue for the existence of a principle al...
Evolution of Joint-Level Control for Quadrupedal Locomotion.
Artificial life
Jan 31, 2017
We investigate a hierarchical approach to robot control inspired by joint-level control in animals. The method combines a high-level controller, consisting of an artificial neural network (ANN), with joint-level controllers based on digital muscles. ...
Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks.
Computational and mathematical methods in medicine
Jan 30, 2017
Computational models are useful tools to study the biomechanics of human joints. Their predictive performance is heavily dependent on bony anatomy and soft tissue properties. Imaging data provides anatomical requirements while approximate tissue prop...
Spatio-Temporal Tolerance of Visuo-Tactile Illusions in Artificial Skin by Recurrent Neural Network with Spike-Timing-Dependent Plasticity.
Scientific reports
Jan 20, 2017
Perceptual illusions across multiple modalities, such as the rubber-hand illusion, show how dynamic the brain is at adapting its body image and at determining what is part of it (the self) and what is not (others). Several research studies showed tha...
TED: A Tolerant Edit Distance for segmentation evaluation.
Methods (San Diego, Calif.)
Jan 17, 2017
In this paper, we present a novel error measure to compare a computer-generated segmentation of images or volumes against ground truth. This measure, which we call Tolerant Edit Distance (TED), is motivated by two observations that we usually encount...
Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint.
Neural networks : the official journal of the International Neural Network Society
Jan 16, 2017
In this study, a method is proposed that eliminates spiral waves in a locally connected chaotic neural network (CNN) under some simplified conditions, using a dynamic phase space constraint (DPSC) as a control method. In this method, a control signal...
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...
Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.
Scientific reports
Jan 9, 2017
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical propert...
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