The Human Memory Lab is interested in a wide range of research topics related to memory. Please see below for some of our current research topics.

Amnesia and the Medial Temporal Lobe

Since the discovery of patients like HM, it has been known that the medial temporal lobes (MTL) are essential for normal episodic memory. Over the past 20 years, the Human Memory Lab has aimed to uncover how different regions in the MTL support the processes involved in memory; essentially looking to determine the brain’s wiring diagram that underlies our ability to remember past events. In the late 1990s and early 2000s, we discovered that patients with damage to the hippocampus exhibited selective deficits in recollection, whereas damage to the surrounding perirhinal cortex lead to deficits in familiarity [1,2,3]. These discoveries directly challenged classical models of MTL function that treated these regions as a single unified memory system, and it converged with a growing body of work from nonhuman primates and rodents, which ultimately led to the development of our current hierarchical models of medial temporal lobe function. In addition, we have discovered that some regions in the MTL are critical for memory processes traditionally thought to be supported by cortical regions outside of the MTL, such as conceptual implicit memory [4]. Our more recent work indicates that these MTL structures may also contribute to visual short-term memory and complex perception tasks that have traditionally been thought to be independent of the MTL [5].


[1]   Yonelinas, A. P., Kroll, N. E., Dobbins, I., Lazzara, M., & Knight, R. T. (1998). Recollection and familiarity deficits in amnesia: convergence of remember-know, process dissociation, and receiver operating characteristic data. Neuropsychology, 12(3), 323. [PDF]

[2]   Yonelinas, A. P., Kroll, N. E., Quamme, J. R., Lazzara, M. M., Sauvé, M. J., Widaman, K. F., & Knight, R. T. (2002). Effects of extensive temporal lobe damage or mild hypoxia on recollection and familiarity. Nature neuroscience, 5(11), 1236-1241. [PDF]

[3]   Yonelinas, A. P., Widaman, K., Mungas, D., Reed, B., Weiner, M. W., & Chui, H. C. (2007). Memory in the aging brain: doubly dissociating the contribution of the hippocampus and entorhinal cortex. Hippocampus, 17(11), 1134-1140. [PDF]

[4]   Wang, W. C., Lazzara, M. M., Ranganath, C., Knight, R. T., & Yonelinas, A. P. (2010). The medial temporal lobe supports conceptual implicit memory. Neuron, 68(5), 835-842. [PDF]

[5]   Yonelinas, A. P. (2013). The hippocampus supports high-resolution binding in the service of perception, working memory and long-term memory. Behavioural brain research, 254, 34-44. [PDF]

Neuroimaging and Memory

The medial temporal lobe works in conjunction with a complex set of brain networks to support different memory and cognitive processes. Early work using fMRI indicated that recollection was supported not only by the hippocampus, but by a network of brain regions including the parahippocampal cortex and various other cortical and subcortical regions; reflecting what is now referred to as the canonical recollection network [1,2]. Moreover, with the development of higher spatial resolution imaging protocols [3] we were able to separate the contribution of various MTL subregions to different processes involved in recognition, which has played critical role in testing competing models of MTL function [3,4].  These results largely converged with the anatomical results from our patient lesion studies which showed the roles of the hippocampus and perirhinal cortex. In addition, these imaging results revealed the involvement of a much broader neural network, and pointed to the importance of regions that we had not been able to examine in lesion studies. Current studies are examining the functional roles that different subregions within the hippocampus such as DG and CA1 play in memory and cognition.


[1]   Yonelinas, A. P., Hopfinger, J. B., Buonocore, M. H., Kroll, N. E. A., & Baynes, K. (2001). Hippocampal, parahippocampal and occipital-temporal contributions to associative and item recognition memory: an fMRI study. Neuroreport, 12(2), 359-363. [PDF]

[2]   Yonelinas, A. P., Otten, L. J., Shaw, K. N., & Rugg, M. D. (2005). Separating the brain regions involved in recollection and familiarity in recognition memory. Journal of Neuroscience, 25(11), 3002-3008. [PDF]

[3]   Diana, R. A., Yonelinas, A. P., & Ranganath, C. (2008). High‐resolution multi‐voxel pattern analysis of category selectivity in the medial temporal lobes. Hippocampus, 18(6), 536-541. [PDF]

[4]   Ranganath, C., Yonelinas, A. P., Cohen, M. X., Dy, C. J., Tom, S. M., & D’Esposito, M. (2004). Dissociable correlates of recollection and familiarity within the medial temporal lobes. Neuropsychologia, 42(1), 2-13. [PDF]

Models of the Medial Temporal Lobe

The findings from our amnesia and neuroimaging studies have challenged traditional models of the medial temporal lobe; these traditional models had treated this structure as reflecting a single unified memory system. This has led us and several other labs to develop a new generation of models [1-4]. To account for these results, we have incorporated the basic assumptions of the dual process signal detection model with neuroanatomical findings, and proposed what we called the Binding of Items and Contexts (BIC) model [1]. In addition, we have utilized neurocomputational approaches to incorporate the functions of hippocampal subfields into our models [3,4]. Although these models are not without their critics, they do account for a larger set of findings from across human and animal studies. In addition, these approaches are particularly powerful in the sense that they make important new predictions about not only memory, but about perception and visual-working memory.


[1]   Eichenbaum, H., Yonelinas, A. P., & Ranganath, C. (2007). The medial temporal lobe and recognition memory. Annu. Rev. Neurosci., 30, 123-152. [PDF]

[2]   Diana, R. A., Yonelinas, A. P., & Ranganath, C. (2007). Imaging recollection and familiarity in the medial temporal lobe: a three-component model. Trends in cognitive sciences, 11(9), 379-386. [PDF]

[3]   Yonelinas, A. P. (2013). The hippocampus supports high-resolution binding in the service of perception, working memory and long-term memory. Behavioural brain research, 254, 34-44. [PDF]

[4]   Elfman, K. W., Aly, M., & Yonelinas, A. P. (2014). Neurocomputational account of memory and perception: Thresholded and graded signals in the hippocampus. Hippocampus, 24(12), 1672-1686. [PDF]

Emotion and Stress

The most memorable events of our lives are often those that are emotionally arousing. We have shown that the emotional advantages in memory emerge slowly over time, and appear to preferentially impact some forms of memory over others (e.g., item recollection rather than familiarity or context recollection), and they appear to rely crucially on the amygdala, but not on the hippocampus [1]. Current work examines how emotion and acute stress impact the various processes supporting memory, and aims to incorporate those insights into emerging models of MTL function [2,3,4].


[1]   Yonelinas, A. P., & Ritchey, M. (2015). The slow forgetting of emotional episodic memories: an emotional binding account. Trends in cognitive sciences, 19(5), 259-267. [PDF]

[2]   Yonelinas, A. P., Parks, C. M., Koen, J. D., Jorgenson, J., & Mendoza, S. P. (2011). The effects of post-encoding stress on recognition memory: examining the impact of skydiving in young men and women. Stress, 14(2), 136-144. [PDF]

[3]   Ritchey, M., McCullough, A. M., Ranganath, C., & Yonelinas, A. P. (2017). Stress as a mnemonic filter: Interactions between medial temporal lobe encoding processes and post‐encoding stress. Hippocampus, 27(1), 77-88. [PDF]

[4]  Shields, G. S., Sazma, M. A., McCullough, A. M., & Yonelinas, A. P. (2017). The Effects of Acute Stress on Episodic Memory: A Meta-Analysis and Integrative Review. Psychological bulletin. [PDF]

Aging and Alzheimer’s Disease

Memory declines are common in normal aging and in Alzheimer’s disease. Developing methods to differentiate between different age-related changes in memory, and for early detection of these memory changes, is critical for effective treatment. Normal aging is associated with selective reductions in recollection that leave familiarity largely unaffected, whereas early Alzheimer’s disease is associated with declines in both recollection and familiarity [1,2]. Moreover, age related reductions in recollection are related to decreases in hippocampal integrity, as well as changes in the integrity of frontal lobe white matter, and alterations in widespread functional connectivity [3,4]. Current work in the lab is building on new findings, which suggest that age related hippocampal deficits in recollection might be partially overcome by promoting unitization strategies that utilize cortically based associative memory [5].


[1]   Koen, J. D., & Yonelinas, A. P. (2016). Recollection, not familiarity, decreases in healthy ageing: Converging evidence from four estimation methods. Memory, 24(1), 75-88. [PDF]

[2]   Koen, J. D., & Yonelinas, A. P. (2014). The effects of healthy aging, amnestic mild cognitive impairment, and Alzheimer’s disease on recollection and familiarity: a meta-analytic review. Neuropsychology review, 24(3), 332-354. [PDF]

[3]   Parks, C. M., Decarli, C., Jacoby, L. L., & Yonelinas, A. P. (2010). Aging effects on recollection and familiarity: the role of white matter hyperintensities. Aging, Neuropsychology, and Cognition, 17(4), 422-438. [PDF]

[4]   Düzel, E., Schütze, H., Yonelinas, A. P., & Heinze, H. J. (2011). Functional phenotyping of successful aging in long‐term memory: Preserved performance in the absence of neural compensation. Hippocampus, 21(8), 803-814. [PDF]

[5]   Bastin, C., Diana, R. A., Simon, J., Collette, F., Yonelinas, A. P., & Salmon, E. (2013). Associative memory in aging: The effect of unitization on source memory. Psychology and aging, 28(1), 275. [PDF]

Psychophysical Methods

In order to make advances in any science, it is necessary to first develop measurement methods and analytic tools that allow one to accurately characterize the phenomenon of interest. For example, measurement tools based on signal detection theory have proven essential in separating processes involved in perception and memory from those related to decision criterion and response bias. Working with Dr. Larry Jacoby, we advanced a ‘process dissociation’ framework [1] that aimed to separate the automatic and consciously controlled influences of memory. This method has now been applied across numerous different cognitive domains and has had a major impact on the field [2]. In addition, the Human Memory Lab has developed a method of analyzing receiver operating characteristics (ROCs) in order to separate the contribution or recollection and familiarity-based recognition memory processes [3]. This approach is now widely applied in studies of memory in various patient populations, as well as in rodents and nonhuman primates – which is proving important in bridging animal and clinical research domains. Other psychophysical methods advanced in the lab include subjective report methods as well as second-choice methods [4]. Current work aims to extend these methods into the domains of perception and visual short term memory.


[1]   Jacoby, L. L., Toth, J. P., & Yonelinas, A. P. (1993). Separating conscious and unconscious influences of memory: Measuring recollection. Journal of Experimental Psychology: General, 122(2), 139. [PDF]

[2]   Yonelinas, A. P., & Jacoby, L. L. (2012). The process-dissociation approach two decades later: Convergence, boundary conditions, and new directions. Memory & Cognition, 40(5), 663-680. [PDF]

[3]   Yonelinas, A. P. (1994). Receiver-operating characteristics in recognition memory: evidence for a dual-process model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(6), 1341. [PDF]

[4]   Yonelinas, A. P., & Jacoby, L. L. (1995). The relation between remembering and knowing as bases for recognition: Effects of size congruency. Journal of memory and language, 34(5), 622. [PDF]

The Dual Process Signal Detection Model of Memory

Recognition memory judgments can be based either on the recollection of qualitative information about a previous episode, or on assessments of stimulus familiarity. In 1994, Dr. Yonelinas argued for a simple quantitative dual process model that characterized familiarity as a signal detection process whereby studied items are temporally strengthened, but in addition, some limited proportion of studied items are also recollected [1,2]. The original model has evolved over time, and several elaborations and extensions of the model have been proposed by various different labs [3,4]. Current work aims to bridge the model with neurocomputational models of the MTL.


[1]   Yonelinas, A. P. (1994). Receiver-operating characteristics in recognition memory: evidence for a dual-process model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(6), 1341. [PDF]

[2]   Yonelinas, A. P. (2001). Components of episodic memory: the contribution of recollection and familiarity. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 356(1413), 1363-1374. [PDF]

[3]   Yonelinas, A. P. (2002). The nature of recollection and familiarity: A review of 30 years of research. Journal of memory and language, 46(3), 441-517. [PDF]

[4]   Yonelinas, A. P., Aly, M., Wang, W. C., & Koen, J. D. (2010). Recollection and familiarity: Examining controversial assumptions and new directions. Hippocampus, 20(11), 1178-1194. [PDF]