• DocumentCode
    2971529
  • Title

    A model of associative learning and classical conditioning in Aplysia californica: a preliminary study

  • Author

    Magrí, Salvatore ; Pepe, Isidoro ; Traverso, Silvano ; Nicolini, Claudio

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    3
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    2694
  • Abstract
    A simple invertebrate animal like the marine mollusc Aplysia exhibits an impressive variety of learning behaviour. The underlying biophysical and biochemical cellular mechanism has been for the most part well described by the group of Kandel. The authors propose a mathematical model which applies to the simple circuit of a synapse between three neuronal cells with non-hebbian learning rules and with temporal associations of conditioned and unconditioned stimuli. This model mimics the synaptic plasticity of the sensorimotor synapses responsible for the habituation, sensitization, classical conditioning of gill-withdrawal reflex. The evolution of the neuronal states is described by a set of differential equations for the dynamics of membrane potential, potassium conductance, calcium conductance and calcium concentration in dendritic and assonic regions.
  • Keywords
    aquaculture; neurophysiology; physiological models; zoology; Aplysia californica; Ca; K; associative learning; assonic regions; biochemical cellular mechanism; biophysical cellular mechanism; calcium concentration; calcium conductance; classical conditioning; dendritic regions; differential equations set; gill-withdrawal reflex; habituation; marine mollusc; mathematical model; membrane potential dynamics; neuronal cells; neuronal states evolution; nonhebbian learning rules; potassium conductance; sensitization; sensorimotor synapses; simple circuit; simple invertebrate animal; Animals; Artificial neural networks; Biomembranes; Calcium; Circuits; Electric shock; Equations; Mathematical model; Neurons; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714279
  • Filename
    714279