{"id_concept_class": "ctp_C5", "creation_time": 1512660629237, "event_stamp": "2009-06-22T19:12:55", "def_id_user": "usr_4e42bd78e66cc", "def_event_stamp": "2011-08-10T19:00:42", "last_updated": 1512660629237, "def_id": "def_4e42d55a52468", "name": "decay of activation", "alias": "", "definition_text": "An explanation for why spreading activation, in network-based models of knowledge representation, peters out as a function of the distance between nodes.", "id_user": "usr_0000000000", "id": "trm_4a3fd79d0a021", "type": "concept", "concepts": [], "contrasts": [], "citations": [], "conceptclasses": [{"creation_time": 1512660843691, "last_updated": 1512660843691, "name": "Learning and Memory", "display_order": 5, "description": "Learning and Memory", "id": "ctp_C5", "relationship": "CLASSIFIEDUNDER"}], "relationships": [{"id_concept_class": "", "creation_time": 1512660635748, "event_stamp": "2009-06-22T19:12:56", "def_id_user": "usr_4b9003ea0be96", "def_event_stamp": "2011-04-29T00:24:55", "last_updated": 1512660635748, "def_id": "def_4dba0557e6307", "name": "spreading activation", "alias": "", "definition_text": "a method for searching associative networks, neural networks, or semantic networks; the search process is initiated by labeling a set of source nodes (e.g. concepts in a semantic network) with weights or "activation" and then iteratively propagating or "spreading" that activation out to other nodes linked to the source nodes.", "id_user": "usr_0000000000", "id": "trm_4a3fd79d0b26d", "relationship": "PARTOF", "direction": "parent"}]}