Thesis (M.A.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on October 23, 2007) Includes bibliographical references.

Since the field-defining patient HM, consistent links have been made between a region of the brain called the hippocampus and memories that can be consciously declared - so called declarative memories. Declarative memories fall into two categories (1) episodic memories, memories that are highly detailed and re-experiential, and (2) semantic memories, fact-based memories for personal and public information but that have no sense of re-experiencing. It is believed that the intrinsic anatomy of the hippocampus supports episodic memory but not semantic memory. The hippocampus consists of five regions (cornu Ammonis, CA, 1-3, dentate gyrus, subiculum) with each purported to have a specific role in episodic memory acquisition and retrieval. However, controversy surrounds the temporal extent to which episodic memories rely on the hippocampus for retrieval: current consensus suggests the hippocampus supports these memories for five-10 years post-acquisition, but some suggest that it is required for retrieval across the lifetime. Voltage-gated potassium channel-complex antibody-mediated limbic encephalitis (VGKC-complex LE) is a recently described autoimmune disease that causes chronic hippocampal atrophy and mild amnesia on standardized neuropsychological assessment. Two subfields of the hippocampus - CA1 and CA3 - contain the antigenic targets of the disease but it is unknown if specific atrophy of these subfields underlies the hippocampal damage in humans. Here, the human hippocampal subfield volumes of VGKC-complex LE patients (n = 19, mean age: 64.0±2.55; range: 24-71) were investigated using ultra-high spatial resolution MRI at 7.0-Tesla. Assessment also included standardized neuropsychology to examine the impact of the pathology on hippocampal-dependent and -independent memory performance, as well as attention, language, executive function, and perception Declarative memory assessment measured semantic and episodic memory performance across the lifespan. Manual segmentation detected lesions to just CA3, with no volume loss noted elsewhere in the hippocampus or brain. Patients were impaired on hippocampal-dependent memory domains but not the hippocampal-independent and non-memory domains. Notably, episodic memory assessment revealed episodic amnesia across the lifetime except for their earliest memories. This counters the received convention that the hippocampus has a temporally limited role in episodic retrieval. Conversely, the performance of the VGKC-complex LE patients for semantic memory, including a new test developed herein, was comparable to controls across the lifespan. It was then shown that CA3 volume predicted episodic memory performance across the lifetime. Together, the results suggest that VGKC-complex LE provides a novel model of human hippocampal subfield pathology, with which to explore the roles of hippocampal subfields in episodic memory acquisition and retrieval.

Although the science of learning and memory has been well studied within the confines of laboratory environments, more recent investigations have attempted to apply these principles to educational practice. Understanding the mechanisms involved with the encoding, consolidation, and retrieval of knowledge learned in the classroom provides an avenue for improving instruction and designing interventions for struggling students. The current study examines the memorial mechanisms underlying the retention of anatomical information in first year gross anatomy students. This study uses a variant of the Remember/Know/New recognition memory paradigm to quantify participants' subjective memorial experience that, in turn, may be related to the underlying cognitive mechanisms used by students to retain information over time. Prior research has suggested that Remember and Know responses are associated with the memorial processes of Recollection and Familiarity, respectively. Thirty-one students from a gross anatomy course completed a computer-based memory task at three time points: prior to the course (time 1), after the completion of the course (time 2), and six months later (time 3). Students were presented with anatomical terms and were asked to respond as to whether they "Can Define", are "Familiar" with or "Don't Know" each term. It was predicted that students who performed better in the course would have a stronger sense of recollection immediately after the course as indexed by "Can Define" responses. Further, we predicted that these students would have more "Can Define" responses and fewer "Familiar" and "Don't Know" responses after six months relative to lower achieving students. The results show an increase in "Can Define" responses from time 1 to time 2 that were attenuated at time 3 with an accompanying increase in "Familiar" responses, suggesting students do not completely forget concepts but are not able to recall as many specific descriptive details compared to time 2. A positive correlation between final course grade and proportion of "Can Define" items at time 3 was revealed; suggesting the durability of learning is stronger in those that performed better in the course. These results offer a better understanding into the long-term retention of course content and a glimpse at individual differences in memory.

The long stated vision of persistent memory is set to be realized with the release of 3D XPoint memory by Intel and Micron. Persistent memory, as the name suggests, amalgamates the persistence (non-volatility) property of storage devices (like disks) with byte-addressability and low latency of memory. These properties of persistent memory coupled with its accessibility through the processor load/store interface enable programmers to design in-memory persistent data structures. An important challenge in designing persistent memory systems is to provide support for maintaining crash consistency of these in-memory data structures. Crash consistency is necessary to ensure the correct recovery of program state after a crash. Ordering is a primitive that can be used to design crash consistent programs. It provides guarantees on the order of updates to persistent memory. Atomicity can also be used to design crash consistent programs via two primitives. First, as an atomic durability primitive which guarantees that in the presence of system crashes updates are made durable atomically, which means either all or none of the updates are made durable. Second, in the form of ACID transactions that guarantee atomic visibility and atomic durability. Existing systems do not support ordering, let alone atomic durability or ACID. In fact, these systems implement various performance enhancing optimizations that deliberately reorder updates to memory. Moreover, software in these systems cannot explicitly control the movement of data from volatile cache to persistent memory. Therefore, any ordering requirement has to be enforced synchronously which degrades performance because program execution is stalled waiting for updates to reach persistent memory. This thesis aims to provide the design principles and efficient implementations for three crash consistency primitives: ordering, atomic durability and ACID transactions. A set of persistency models have been proposed recently which provide support for the ordering primitive. This thesis extends the taxonomy of these models by adding buffering, which allows the hardware to enforce ordering in the background, as a new layer of classification. It then goes on show how the existing implementation of a buffered model degenerates to a performance inefficient non-buffered model because of the presence of conflicts and proposes efficient solutions to eliminate or limit the impact of these conflicts with minimal hardware modifications. This thesis also proposes the first implementation of a buffered model for a server class processor with multi-banked caches and multiple memory controllers. Write ahead logging (WAL) is a commonly used approach to provide atomic durability. This thesis argues that existing implementations ofWAL in software are not only inefficient, because of the fine grained ordering dependencies, but also waste precious execution cycles to implement a fundamentally data movement task. It then proposes ATOM, a hardware log manager based on undo logging that performs the logging operation out of the critical path. This thesis presents the design principles behind ATOM and two techniques that optimize its performance. These techniques enable the memory controller to enforce fine grained ordering required for logging and to even perform logging in some cases. In doing so, ATOM significantly reduces processor stall cycles and improves performance. The most commonly used abstraction employed to atomically update persistent data is that of durable transactions with ACID (Atomicity, Consistency, Isolation and Durability) semantics that make updates within a transaction both visible and durable atomically. As a final contribution, this thesis tackles the problem of providing efficient support for durable transactions in hardware by integrating hardware support for atomic durability with hardware transactional memory (HTM). It proposes DHTM (durable hardware transactional memory) in which durability is considered as a first class design constraint. DHTM guarantees atomic durability via hardware redo-logging, and integrates this logging support with a commercial HTM to provide atomic visibility. Furthermore, DHTM leverages the same logging infrastructure to extend the supported transaction size, from being L1-limited to the LLC, with minor changes to the coherence protocol.

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Memory updating has been established; however, the mechanism supporting this alteration process is subject to disagreement. Reconsolidation theorists argue that memory updating occurs via an old memory becoming reactivated and returned to a state of susceptibility. In this state, newly presented details can become incorporated into the existing memory. As such, memory updating is an effect of old memory reactivation and new information encoding. In contrast, temporal context theory argues that the temporal context in which the old memory was initially formed is reinstated. Newly presented information becomes tagged to the old context. Therefore, at retrieval, when the old context is reinstated again, the initially bound information and the newer information are simultaneously retrieved. Within this theoretical framework, memory modification is the result of retrieval effects. In contrast, this three-paper dissertation provides evidence that reconsolidation is, at least in part, a combined reactivation and encoding effect. In paper 1, I present neural evidence of both old memory reactivation and new encoding, which demonstrates 1) that strength at reactivation predicts the likelihood that a memory will be modified and 2) that greater brain activation during new encoding predicts the extent of accurate recognition. In paper 2, I show that encoding conditions affect the extent to which new information will be misattributed to the old memory. I demonstrate that learners update explicitly encoded memories but not implicitly coded ones. Lastly, in paper 3, I demonstrate that old memories can be reactivated and altered during sleep. When old-memory reactivation is paired with a forget cue, a subsequent degeneration of the memory and its details ensues. In sum, all three papers provide evidence in support of the reconsolidation theory that memory updating occurs during old-memory reactivation and new encoding.

Memory profiling is an important technique which aids program optimization and can even help tracking down bugs. The main problem with the current memory profiling techniques and tools is that they slow down the target software considerably therefore making them inadequate for mainline integration. Ideally, the user would be able to monitor memory consumption without having to worry about the rest of the software being affected in any way. This thesis provides a comparison of existing techniques and tools along with the description of a memory profiler implementation which tries to provide a balance between the information it is able to retrieve and the influence it has on the target software.

After a crime has occurred, one of the most pressing objectives for investigators is to identify and interview any eyewitness that can provide information about the crime. Depending on his or her training, the investigative interviewer will use (to varying degrees) mostly yes/no questions, some cued and multiple-choice questions, with few open-ended questions. When the witness cannot generate any more details about the crime, one assumes the eyewitness’ memory for the critical event has been exhausted. However, given what we know about memory, is this a safe assumption? In line with the extant literature on human cognition, if one assumes (a) an eyewitness has more available memories of the crime than he or she has accessible and (b) only explicit probes have been used to elicit information, then one can argue this eyewitness may still be able to provide additional information via implicit memory tests. In accordance with these notions, the present study had two goals: demonstrate that (1) eyewitnesses can reveal memory implicitly for a detail-rich event and (2) particularly for brief crimes, eyewitnesses can reveal memory for event details implicitly that were inaccessible when probed for explicitly. Undergraduates (N = 227) participated in a psychological experiment in exchange for research credit. Participants were presented with one of three stimulus videos (brief crime vs. long crime vs. irrelevant video). Then, participants either completed a series of implicit memory tasks or worked on a puzzle for 5 minutes. Lastly, participants were interviewed explicitly about the previous video via free recall and recognition tasks. Findings indicated that participants who viewed the brief crime provided significantly more crime-related details implicitly than those who viewed the long crime. The data also showed participants who viewed the long crime provided marginally more accurate details during free recall than participants who viewed the brief crime. Furthermore, participants who completed the implicit memory tasks provided significantly less accurate information during the explicit interview than participants who were not given implicit memory tasks. This study was the first to investigate implicit memory for eyewitnesses of a crime. To determine its applied value, additional empirical work is required.

Twenty-four 7.5- to 8-month old infants were presented with two manipulanda and given either behavior-contingent or noncontingent experience with an object. Infants in the contingent group learned and remembered the controlling action for up to 1 week (t(11)=2.83, p