Thesis (Ph.D.)--Indiana University, Dept. of Psychology and Cognitive Science, 2007. / Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6353. Adviser: Robert M. Nosofsky. Title from dissertation home page (viewed May 9, 2008).

Thesis (Ph.D.)--Indiana University, Dept. of Psychological Brain Sciences and Cognitive Science, 2007. / Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 1327. Adviser: Olaf Sporns.

Thesis (Ph.D.)--Indiana University, Dept. of Psychological & Brain Sciences, 2008. / Title from PDF t.p. (viewed on May 8, 2009). Source: Dissertation Abstracts International, Volume: 69-07, Section: B, page: 4454. Adviser: Jason M. Gold.

Thesis (Ph.D.)--Indiana University, Dept. of Psychological and Brain Sciences and Program in Neuroscience, 2007. / Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6994. Adviser: Richard M. Shiffrin. Title from dissertation home page (viewed May 21, 2008).

Thesis (Ph.D.)--Indiana University, Dept. of Psychological and Brain Sciences and Program in Neuroscience Dept., 2008. / Title from dissertation home page (viewed Sept. 30, 2008). Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1980. Adviser: Robert M. Nosofsky.

Thesis (Ph.D.)--Indiana University, Dept. of Psychology, 2004. / Title from PDF t.p. (viewed Dec. 1, 2008). Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0586. Chair: Jerome R. Busemeyer.

Thesis (Ph.D.)--Indiana University, Departments of Psychological and Brain Sciences and Cognitive Sciences, 2009. / Title from PDF t.p. (viewed on Jul 19, 2010). Source: Dissertation Abstracts International, Volume: 70-12, Section: B, page: 7872. Adviser: Thomas A. Busey.

Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2006. / Source: Dissertation Abstracts International, Volume: 67-04, Section: B, page: 2251. Adviser: Douglas R. Hofstadter. "Title from dissertation home page (viewed June 20, 2007)."

It has long been understood that there is a deep connection between time and memory. From episodic memory in humans to conditioning tasks in animals, temporal relationships play a crucial role in memory performance. While recognition memory is a subset of episodic memory, most recognition memory models disregard information about time and assume that memory is a composite store with a noisy record of items and their associations. Another class of models posits that memory depends on temporal representations in which ‘what’ and ‘when’ information is stored conjointly. Using three experiments, I found evidence for serially accessing memory (scanning) in both short-term and long-term memory and in predicting the future. These findings support the hypothesis that memories are stored in temporal representations. In Experiment 1, I hypothesized that scanning in a judgment-of-recency task is due to a compressed temporal representation. In 107 healthy young adults, response times depended only on the lag to the target and varied sub-linearly with lag. This result was consistent with the hypothesis. In Experiment 2, the hypothesis was that memory search on a long-term recognition task is driven by serially scanning a compressed representation. In a continuous recognition paradigm with 88 healthy young adults across three studies, the time at which information starts becoming accessible varied as a function of the logarithm of the lag. This result suggests that information in long-term memory is stored in a compressed representation that can be accessed using a serial backward scan. In Experiment 3, I tested the hypothesis that our ability to access what is going to happen a few seconds in the future is similar to our ability to access the immediate past. Sixty healthy young adults performed a relative order judgment task for future events. The response times in this novel judgment-of-imminence task showed that a search through prospective memory representation was serial and closely paralleled the serial search observed in the judgment-of-recency task (Experiment 1). Together, these results suggest that it is possible to generate a temporally ordered representation that can be scanned to access the past and the future.

abstract: The label-feedback hypothesis (Lupyan, 2007) proposes that language can modulate low- and high-level visual processing, such as “priming” a visual object. Lupyan and Swingley (2012) found that repeating target names facilitates visual search, resulting in shorter reaction times (RTs) and higher accuracy. However, a design limitation made their results challenging to assess. This study evaluated whether self-directed speech influences target locating (i.e. attentional guidance) or target identification after location (i.e. decision time), testing whether the Label Feedback Effect reflects changes in visual attention or some other mechanism (e.g. template maintenance in working memory). Across three experiments, search RTs and eye movements were analyzed from four within-subject conditions. People spoke target names, nonwords, irrelevant (absent) object names, or irrelevant (present) object names. Speaking target names weakly facilitates visual search, but speaking different names strongly inhibits search. The most parsimonious account is that language affects target maintenance during search, rather than visual perception. / Dissertation/Thesis / Masters Thesis Psychology 2016