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Associative Memory: An Spiking Neural Network Robotic Implementation.

, , , and . AGI, volume 10999 of Lecture Notes in Computer Science, page 32-41. Springer, (2018)

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AI-SIMCOG: a simulator for spiking neurons and multiple animats' behaviours., , and . Neural Comput. Appl., 18 (5): 431-446 (2009)Classical conditioning in different temporal constraints: an STDP learning rule for robots controlled by spiking neural networks., and . Adaptive Behaviour, 20 (4): 257-272 (2012)Bio-inspired visual attention process using spiking neural networks controlling a camera., and . IJCVR, 9 (1): 39-55 (2019)Learning Distance-Behavioural Preferences Using a Single Sensor in a Spiking Neural Network., , , , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 110-118. Springer, (2017)Revisiting the XOR problem: a neurorobotic implementation., , and . Neural Comput. Appl., 32 (14): 9965-9973 (2020)Action Selection and Operant Conditioning: A Neurorobotic Implementation., and . J. Robotics, (2015)Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller., , and . Frontiers Neurorobotics, (2014)Same/Different Concept: An Embodied Spiking Neural Model in a Learning Context., and . SAB, volume 13499 of Lecture Notes in Computer Science, page 141-152. Springer, (2022)Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots., and . Comput. Intell. Neurosci., (2019)Spiking Neurons Integrating Visual Stimuli Orientation and Direction Selectivity in a Robotic Context., , , , and . Frontiers Neurorobotics, (2018)