{"pk":49535,"title":"Behavioral signatures of temporal context retrieval during continuous recognition","subtitle":null,"abstract":"An influential mathematical model of memory, the temporal\ncontext model (TCM), posits that we encode items and their\nassociations with temporal context (Howard & Kahana, 2002).\nTemporal context is conceived of as a recency-weighted av-\nerage of past experiences. Critically, the model assumes that\nwhen an item is retrieved later, the associated temporal con-\ntext is also obligatorily retrieved. Existing evidence for the\nidea of retrieved temporal context primarily comes from free-\nrecall studies. However, free recall introduces some critical\nconfounds that are difficult to resolve (Folkerts et al., 2018)\nand also encourages memory strategies that may mimic tem-\nporal context effects (Hintzman, 2011). To address these con-\nfounds, we investigate temporal context using an image recog-\nnition task. Schwartz et al. (2005) examined temporal con-\ntext in an image recognition task using a short-list-based ex-\nperimental design, and found that temporal context influenced\nrecognition performance. Building on this, we use the Natural\nScenes Dataset (NSD) to show that reinstating temporal con-\ntext enhances recognition accuracy even across substantially\nlonger timescales. We demonstrate that images that were tem-\nporally closer during encoding facilitated the recognition of\neach other. Critically, we show that this influence falls off with\ntemporal distance at encoding only when the temporal context\nis successfully retrieved, as predicted by TCM. Furthermore,\nthe slope of this temporal gradient increases as a function of\nthe strength of the influence of the retrieved temporal context.\nThese findings extend our understanding of temporal context\neffects in episodic memory by showing that temporal context\nis retrieved even in tasks that do not encourage linking between\nitems as a memory strategy.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Cognitive Neuroscience; Behavioral Science; Memory; Mathematical modeling"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/21q2s8n1","frozenauthors":[{"first_name":"Atharva","middle_name":"","last_name":"Joshi","name_suffix":"","institution":"International Institute of Information Technology, Hyderabad","department":""},{"first_name":"Kamalaker","middle_name":"","last_name":"Dadi","name_suffix":"","institution":"International Institute of Information Technology Hyderabad","department":""},{"first_name":"Vishnu","middle_name":"","last_name":"Sreekumar","name_suffix":"","institution":"International Institute of Information Technology, Hyderabad","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T19:00:00+01:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/49535/galley/37497/download/"}]}