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Computational Memory Lab | Episodic Memory | |||||||||||||||
Mechanisms of Episodic MemoryEpisodic (or autobiographical) memory is memory for events that are embedded in a temporal context. This includes both memory for significant life events and memory for common daily activities. In the laboratory, episodic memory is investigated by presenting lists of words for study, and then asking participants to recall the words. We have focused on the use of conditional probability and latency analysis (Kahana, M. J., 1996) to examine how participants transition from one recalled word to the next. These techniques quantify the order in which participants recall list items and the inter-response times between successive recalls (see Fig. 1).
To explain the recency and contiguity effects in free recall, Howard and Kahana (2002) developed the Temporal Context Model of episodic memory (Howard, M. W. and Kahana, M. J., 2002). TCM is a distributed memory model that specifies the mechanisms of contextual drift and contextual retrieval. Through the drift mechanism, TCM describes how a temporal code is created by the integration of recently retrieved contextual states. As such, TCM represents the first formal model of how memories become 'episodic' (linked to the time when they occurred). TCM also provides an alternative explanation for associative tendencies in recall. Rather than resulting from co-occurrence in short-term memory (the standard earlier view), TCM suggests that these tendencies appear because recall of an item recovers the temporal context for the item, which in turn cues recall of subsequent items. Similarly, recency effects appear because the temporal context at the time of the memory test is most similar to the temporal context associated with recent items. Unlike short-term memory based models, TCM predicts that recency and associative effects should be time-scale invariant (Howard, M. W. and Kahana, M. J., 1999, Howard, M. W. and Kahana, M. J., 2002). In addition to behavioral and theoretical analyses of episodic memory, we also explore the neurophysiology of episodic memory with both scalp and intracranial electroencephalographic (iEEG) recordings. Intracranial recordings can be obtained from epilepsy patients who have had electrodes surgically implanted on the cortical surface of the brain or through the medial temporal lobes (including hippocampus) as part of the clinical process of localizing seizure foci. One focus of this research is to determine the oscillatory correlates of successful episodic memory formation. Our lab has found that 44-100 Hz (gamma) brain oscillations increase while participants are studying words that they will successfully, as opposed to unsuccessfully, recall (Sederberg, et al., 2006). The same distribution of gamma activity across both hippocampus and neocortex is reactivated just prior to recalling an item, with higher levels of gamma predicting whether or not the recalled item was actually studied (Sederberg, et al., 2007; see Fig. 2). These results point to important roles of theta and gamma oscillations in the formation of new episodic memories. Recent work has sought to uncover the differences in oscillatory brain activity between episodic encoding and retrieval and between retrieval of a response and searching for that response.
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