title: A connectionist model of septohippocampal dynamics during conditioning: closing the loop.
abstract: Septohippocampal interactions determine how stimuli are encoded during conditioning. This study extends a previous neurocomputational model of corticohippocampal processing to incorporate hippocamposeptal feedback and examines how the presence or absence of such feedback affects learning in the model. The effects of septal modulation in conditioning were simulated by dynamically adjusting the hippocampal learning rate on the basis of how well the hippocampal system encoded stimuli. The model successfully accounts for changes in behavior and septohippocampal activity observed in studies of the acquisition, retention, and generalization of conditioned responses and accounts for the effects of septal disruption on conditioning. The model provides a computational, neurally based synthesis of prior learning theories that predicts changes in medial septal activity based on the novelty of stimulus events.
authors.affiliation: Department of Psychology, Rutgers University, New Jersey, USA.
authors.forename: Bas
authors.initials: B
authors.lastname: Rokers
authors.forename: Eduardo
authors.initials: E
authors.lastname: Mercado
authors.forename: M Todd
authors.initials: MT
authors.lastname: Allen
authors.forename: Catherine E
authors.initials: CE
authors.lastname: Myers
authors.forename: Mark A
authors.initials: MA
authors.lastname: Gluck
mesh_terms: D000818:Animals; D001245:Association Learning / Q000502:physiology; D003214:Conditioning, Classical / Q000502:physiology*; D003215:Conditioning, Eyelid / Q000502:physiology; D005246:Feedback / Q000502:physiology; D005793:Generalization, Psychological / Q000502:physiology; D006624:Hippocampus / Q000502:physiology*; D008297:Male; D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology; D011817:Rabbits; D012153:Retention, Psychology / Q000502:physiology*; D012688:Septum Pellucidum / Q000502:physiology*