Retrieved-context models of memory search and the neural representation of time

2017 ◽  
Vol 17 ◽  
pp. 203-210 ◽  
Author(s):  
Sean M Polyn ◽  
Rebecca A Cutler
2008 ◽  
Vol 12 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Sean M. Polyn ◽  
Michael J. Kahana

2021 ◽  
pp. 165-180
Author(s):  
Robert W. Thatcher ◽  
E. Roy John

2009 ◽  
Vol 106 (45) ◽  
pp. 19156-19161 ◽  
Author(s):  
Dezhe Z. Jin ◽  
Naotaka Fujii ◽  
Ann M. Graybiel

2019 ◽  
Author(s):  
Sean Matthew Polyn ◽  
James Kragel ◽  
Joshua D. McCluey ◽  
John F. Burke

The flexibility and power of the human memory system are exemplified by its ability to create associations between temporally discontiguous events. Retrieved-context theory proposes that these associations are mediated by indirect associations binding the neural representation of each study event to a temporally sensitive contextual representation, which is used as a retrieval cue during memory search. When past states of this contextual representation are reactivated, this gives rise to temporal organization in recall sequences. Previous empirical and simulation work has established that temporal organization is insensitive to the temporal scale of the study experience: Adding substantial periods of inter-item distraction to a study list does not affect the temporal organization of memories for that list. However, this previous work has only examined experiments in which all periods of inter-item distraction in a study list are increased or decreased by an equivalent amount. Here, we demonstrate and test a previously unexamined prediction of retrieved-context theory: The scale-insensitivity of temporal organization is conditional on how temporal structure is manipulated. Specifically, we show that temporal organization is dependent on the relative duration of the temporal intervals surrounding a study event, in a way predicted by retrieved-context theory. Using Bayesian estimation techniques, we demonstrate that the ability of a model to predict the order of responses in free recall is substantially improved when the duration of inter-item distraction intervals influences the representational structure of temporal context. We contrast the predictions of our retrieved-context model with those of an influential model of temporal distinctiveness.


Author(s):  
Elsbieta Szelag ◽  
Joanna Dreszer ◽  
Monika Lewandowska ◽  
Aneta Szymaszek

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Pavel Filip ◽  
Ovidiu V. Lungu ◽  
Daniel J. Shaw ◽  
Tomas Kasparek ◽  
Martin Bareš

Traditionally, the pathophysiology of cervical dystonia has been regarded mainly in relation to neurochemical abnormities in the basal ganglia. Recently, however, substantial evidence has emerged for cerebellar involvement. While the absence of neurological “cerebellar signs” in most dystonia patients may be considered at least provoking, there are more subtle indications of cerebellar dysfunction in complex, demanding tasks. Specifically, given the role of the cerebellum in the neural representation of time, in the millisecond range, dysfunction to this structure is considered to be of greater importance than dysfunction of the basal ganglia. In the current study, we investigated the performance of cervical dystonia patients on a computer task known to engage the cerebellum, namely, the interception of a moving target with changing parameters (speed, acceleration, and angle) with a simple response (pushing a button). The cervical dystonia patients achieved significantly worse results than a sample of healthy controls. Our results suggest that the cervical dystonia patients are impaired at integrating incoming visual information with motor responses during the prediction of upcoming actions, an impairment we interpret as evidence of cerebellar dysfunction.


2018 ◽  
Author(s):  
Charan Ranganath

Over the past 15 years, there has been an explosion of new research on the role of the hippocampus in representation of information about time in memory. Much of this work was inspired by the ideas and research of Howard Eichenbaum, who made major contributions to our understanding of the neurobiology of episodic memory and the neural representation of time. In this paper, I will review evidence regarding the role of time in understanding hippocampal function. This review will cover a broad range of evidence from studies of humans and nonhuman animals with a narrative arc that follows Howard’s major discoveries. These studies demonstrate that the hippocampus encodes information in relation to an episodic context, and that time, as well as space, serves to define these contexts. Moreover, the research has shown that the hippocampus can encode temporal, spatial, and situational information in parallel. Building on this work, I present a new framework for understanding temporal structure in human episodic memory. I conclude by outlining current controversies and new questions that must be addressed by the field in the years to come.


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