Spike-Timing Dependent Plasticity Learning for Visual-Based Obstacles Avoidance Export

@incollection{SOU06b, abstract = {In this paper, we train a robot to learn online a task of obstacles avoidance. The robot has at its disposal only its visual input from a linear camera in an arena whose walls are composed of random black and white stripes. The robot is controlled by a recurrent spiking neural network (integrate and fire). The learning rule is the spike-time dependent plasticity (STDP) and its counterpart – the so-called anti-STDP. Since the task itself requires some temporal integration, the neural substrate is the network's own dynamics. The behaviors of avoidance we obtain are homogenous and elegant. In addition, we observe the emergence of a neural selectivity to the distance after the learning process.}, author = {Soula, H\'{e}di and Beslon, Guillaume}, citeulike-article-id = {5813325}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11840541_28}, doi = {10.1007/11840541_28}, journal = {From Animals to Animats 9}, keywords = {learning, obstacles, spiking\_neuron, stdp, vision}, pages = {335--345}, posted-at = {2009-09-21 13:53:50}, priority = {2}, title = {Spike-Timing Dependent Plasticity Learning for Visual-Based Obstacles Avoidance}, url = {http://dx.doi.org/10.1007/11840541_28}, year = {2006} }

TY - CHAP ID - SOU06b L3 - citeulike-article-id:5813325 N2 - In this paper, we train a robot to learn online a task of obstacles avoidance. The robot has at its disposal only its visual input from a linear camera in an arena whose walls are composed of random black and white stripes. The robot is controlled by a recurrent spiking neural network (integrate and fire). The learning rule is the spike-time dependent plasticity (STDP) and its counterpart – the so-called anti-STDP. Since the task itself requires some temporal integration, the neural substrate is the network’s own dynamics. The behaviors of avoidance we obtain are homogenous and elegant. In addition, we observe the emergence of a neural selectivity to the distance after the learning process. JF - From Animals to Animats 9 EP - 345 TI - Spike-Timing Dependent Plasticity Learning for Visual-Based Obstacles Avoidance SP - 335 KW - learning KW - obstacles KW - spiking_neuron KW - stdp KW - vision AU - Soula, Hédi AU - Beslon, Guillaume PY - 2006/// UR - http://dx.doi.org/10.1007/11840541_28 ER -