title: A Cognitive Model Based on Neuromodulated Plasticity.
abstract: Associative learning, including classical conditioning and operant conditioning, is regarded as the most fundamental type of learning for animals and human beings. Many models have been proposed surrounding classical conditioning or operant conditioning. However, a unified and integrated model to explain the two types of conditioning is much less studied. Here, a model based on neuromodulated synaptic plasticity is presented. The model is bioinspired including multistored memory module and simulated VTA dopaminergic neurons to produce reward signal. The synaptic weights are modified according to the reward signal, which simulates the change of associative strengths in associative learning. The experiment results in real robots prove the suitability and validity of the proposed model.
authors.affiliation: Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing 100124, China; Pilot College, Beijing University of Technology, Beijing 101101, China.
authors.forename: Jing
authors.identifier: 0000-0002-7382-9368
authors.initials: J
authors.lastname: Huang
authors.affiliation: Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing 100124, China.
authors.forename: Xiaogang
authors.initials: X
authors.lastname: Ruan
authors.affiliation: Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing 100124, China.
authors.forename: Naigong
authors.identifier: 0000-0002-9931-2535
authors.initials: N
authors.lastname: Yu
authors.affiliation: Pilot College, Beijing University of Technology, Beijing 101101, China.
authors.forename: Qingwu
authors.identifier: 0000-0002-6236-6855
authors.initials: Q
authors.lastname: Fan
authors.affiliation: Pilot College, Beijing University of Technology, Beijing 101101, China.
authors.forename: Jiaming
authors.identifier: 0000-0002-3318-5887
authors.initials: J
authors.lastname: Li
authors.affiliation: Institute of Artificial Intelligence and Robotics, Beijing University of Technology, Beijing 100124, China.
authors.forename: Jianxian
authors.identifier: 0000-0002-2864-951X
authors.initials: J
authors.lastname: Cai
mesh_terms: D000465:Algorithms; D000818:Animals; D001245:Association Learning / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009473:Neuronal Plasticity / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D018377:Neurotransmitter Agents
chemical_list: D018377:Neurotransmitter Agents