Annual Review of Psychology - Volume 71, 2020

I present the case for viewing human memory as a set of dynamic processes rather than as structural entities or memory stores. This perspective stems largely from the construct of levels of processing, reflecting work I published with Robert Lockhart and with Endel Tulving. I describe the personal and professional contexts in which these and other ideas evolved, and I discuss criticisms of the ideas and our responses to critics. I also show how later versions of a processing approach to memory may fit with current findings and theories in memory research. In related work I have been involved in studies of cognitive aging, and I describe some theoretical and empirical points deriving from this aspect of my research efforts. Finally, I deal briefly with some experiments and reflections on divided attention, consolidation, and bilingualism and touch upon the neural bases of a processing approach.

Recent advances in our understanding of information states in the human brain have opened a new window into the brain's representation of emotion. While emotion was once thought to constitute a separate domain from cognition, current evidence suggests that all events are filtered through the lens of whether they are good or bad for us. Focusing on new methods of decoding information states from brain activation, we review growing evidence that emotion is represented at multiple levels of our sensory systems and infuses perception, attention, learning, and memory. We provide evidence that the primary function of emotional representations is to produce unified emotion, perception, and thought (e.g., “That is a good thing”) rather than discrete and isolated psychological events (e.g., “That is a thing. I feel good”). The emergent view suggests ways in which emotion operates as a fundamental feature of cognition, by design ensuring that emotional outcomes are the central object of perception, thought, and action.

Depression remains one of the most prevalent psychiatric disorders, with many patients not responding adequately to available treatments. Chronic or early-life stress is one of the key risk factors for depression. In addition, a growing body of data implicates chronic inflammation as a major player in depression pathogenesis. More recently, the gut microbiota has emerged as an important regulator of brain and behavior and also has been linked to depression. However, how this holy trinity of risk factors interact to maintain physiological homeostasis in the brain and body is not fully understood. In this review, we integrate the available data from animal and human studies on these three factors in the etiology and progression of depression. We also focus on the processes by which this microbiota-immune-stress matrix may influence centrally mediated events and on possible therapeutic interventions to correct imbalances in this triune.

Addiction is commonly identified with habitual nonmedical self-administration of drugs. It is usually defined by characteristics of intoxication or by characteristics of withdrawal symptoms. Such addictions can also be defined in terms of the brain mechanisms they activate; most addictive drugs cause elevations in extracellular levels of the neurotransmitter dopamine. Animals unable to synthesize or use dopamine lack the conditioned reflexes discussed by Pavlov or the appetitive behavior discussed by Craig; they have only unconditioned consummatory reflexes. Burst discharges (phasic firing) of dopamine-containing neurons are necessary to establish long-term memories associating predictive stimuli with rewards and punishers. Independent discharges of dopamine neurons (tonic or pacemaker firing) determine the motivation to respond to such cues. As a result of habitual intake of addictive drugs, dopamine receptors expressed in the brain are decreased, thereby reducing interest in activities not already stamped in by habitual rewards.

The capacity to search memory for events learned in a particular context stands as one of the most remarkable feats of the human brain. How is memory search accomplished? First, I review the central ideas investigated by theorists developing models of memory. Then, I review select benchmark findings concerning memory search and analyze two influential computational approaches to modeling memory search: dual-store theory and retrieved context theory. Finally, I discuss the key theoretical ideas that have emerged from these modeling studies and the open questions that need to be answered by future research.

The conscious perception of the hedonic sensory properties of caloric foods is commonly believed to guide our dietary choices. Current and traditional models implicate the consciously perceived hedonic qualities of food as driving overeating, whereas subliminal signals arising from the gut would curb our uncontrolled desire for calories. Here we review recent animal and human studies that support a markedly different model for food reward. These findings reveal in particular the existence of subcortical body-to-brain neural pathways linking gastrointestinal nutrient sensors to the brain's reward regions. Unexpectedly, consciously perceptible hedonic qualities appear to play a less relevant, and mostly transient, role in food reinforcement. In this model, gut-brain reward pathways bypass cranial taste and aroma sensory receptors and the cortical networks that give rise to flavor perception. They instead reinforce behaviors independently of the cognitive processes that support overt insights into the nature of our dietary decisions.

Events make up much of our lived experience, and the perceptual mechanisms that represent events in experience have pervasive effects on action control, language use, and remembering. Event representations in both perception and memory have rich internal structure and connections one to another, and both are heavily informed by knowledge accumulated from previous experiences. Event perception and memory have been identified with specific computational and neural mechanisms, which show protracted development in childhood and are affected by language use, expertise, and brain disorders and injuries. Current theoretical approaches focus on the mechanisms by which events are segmented from ongoing experience, and emphasize the common coding of events for perception, action, and memory. Abetted by developments in eye-tracking, neuroimaging, and computer science, research on event perception and memory is moving from small-scale laboratory analogs to the complexity of events in the wild.

During our everyday lives, we are confronted with a vast amount of information from several sensory modalities. This multisensory information needs to be appropriately integrated for us to effectively engage with and learn from our world. Research carried out over the last half century has provided new insights into the way such multisensory processing improves human performance and perception; the neurophysiological foundations of multisensory function; the time course for its development; how multisensory abilities differ in clinical populations; and, most recently, the links between multisensory processing and cognitive abilities. This review summarizes the extant literature on multisensory function in typical and atypical circumstances, discusses the implications of the work carried out to date for theory and research, and points toward next steps for advancing the field.

Spatial attention is comprised of neural mechanisms that boost sensory processing at a behaviorally relevant location while filtering out competing information. The present review examines functional specialization in the network of brain regions that directs such preferential processing. This attention network includes both cortical (e.g., frontal and parietal cortices) and subcortical (e.g., the superior colliculus and the pulvinar nucleus of the thalamus) structures. Here, we piece together existing evidence that these various nodes of the attention network have dissociable functional roles by synthesizing results from electrophysiology and neuroimaging studies. We describe functional specialization across several dimensions (e.g., at different processing stages and within different behavioral contexts), while focusing on spatial attention as a dynamic process that unfolds over time. Functional contributions from each node of the attention network can change on a moment-to-moment timescale, providing the necessary cognitive flexibility for sampling from highly dynamic environments.

The enhancing effects of emotion on memory have been well documented; emotional events are often more frequently and more vividly remembered than their neutral counterparts. Much of the prior research has emphasized the effects of emotion on encoding processes and the downstream effects of these changes at the time of retrieval. In the current review, we focus specifically on how emotional valence influences retrieval processes, examining how emotion influences the experience of remembering an event at the time of retrieval (retrieval as an end point) as well as how emotion alters the way in which remembering the event affects the underlying memory representation and subsequent retrievals (retrieval as a starting point). We suggest ways in which emotion may augment or interfere with the selective enhancement of particular memory details, using both online and offline processes, and discuss how these effects of emotion may contribute to memory distortions in affective disorders.

Imagine Genghis Khan, Aretha Franklin, and the Cleveland Cavaliers performing an opera on Maui. This silly sentence makes a serious point: As humans, we can flexibly generate and comprehend an unbounded number of complex ideas. Little is known, however, about how our brains accomplish this. Here we assemble clues from disparate areas of cognitive neuroscience, integrating recent research on language, memory, episodic simulation, and computational models of high-level cognition. Our review is framed by Fodor's classic language of thought hypothesis, according to which our minds employ an amodal, language-like system for combining and recombining simple concepts to form more complex thoughts. Here, we highlight emerging work on combinatorial processes in the brain and consider this work's relation to the language of thought. We review evidence for distinct, but complementary, contributions of map-like representations in subregions of the default mode network and sentence-like representations of conceptual relations in regions of the temporal and prefrontal cortex.

The psychology of verbal reasoning initially compared performance with classical logic. In the last 25 years, a new paradigm has arisen, which focuses on knowledge-rich reasoning for communication and persuasion and is typically modeled using Bayesian probability theory rather than logic. This paradigm provides a new perspective on argumentation, explaining the rational persuasiveness of arguments that are logical fallacies. It also helps explain how and why people stray from logic when given deductive reasoning tasks. What appear to be erroneous responses, when compared against logic, often turn out to be rationally justified when seen in the richer rational framework of the new paradigm. Moreover, the same approach extends naturally to inductive reasoning tasks, in which people extrapolate beyond the data they are given and logic does not readily apply. We outline links between social and individual reasoning and set recent developments in the psychology of reasoning in the wider context of Bayesian cognitive science.

The science of judgment and decision making involves three interrelated forms of research: analysis of the decisions people face, description of their natural responses, and interventions meant to help them do better. After briefly introducing the field's intellectual foundations, we review recent basic research into the three core elements of decision making: judgment, or how people predict the outcomes that will follow possible choices; preference, or how people weigh those outcomes; and choice, or how people combine judgments and preferences to reach a decision. We then review research into two potential sources of behavioral heterogeneity: individual differences in decision-making competence and developmental changes across the life span. Next, we illustrate applications intended to improve individual and organizational decision making in health, public policy, intelligence analysis, and risk management. We emphasize the potential value of coupling analytical and behavioral research and having basic and applied research inform one another.

Regions of the prefrontal and cingulate cortices play important roles in the regulation of behaviors elicited by threat. Dissecting out their differential involvement will greatly increase our understanding of the varied etiology of symptoms of anxiety. I review evidence for altered activity within the major divisions of the prefrontal cortex, including orbitofrontal, ventrolateral, dorsolateral, and ventromedial sectors, along with the anterior cingulate cortex in patients with clinical anxiety. This review is integrated with a discussion of current knowledge about the causal role of these different prefrontal and cingulate regions in threat-elicited behaviors from experimental studies in rodents and monkeys. I highlight commonalities and inconsistencies between species and discuss the current state of our translational success in relating findings across species. Finally, I identify key issues that, if addressed, may improve that success in the future.

Developmental disorders of language include developmental language disorder, dyslexia, and motor-speech disorders such as articulation disorder and stuttering. These disorders have generally been explained by accounts that focus on their behavioral rather than neural characteristics; their processing rather than learning impairments; and each disorder separately rather than together, despite their commonalities and comorbidities. Here we update and review a unifying neurocognitive account—the Procedural circuit Deficit Hypothesis (PDH). The PDH posits that abnormalities of brain structures underlying procedural memory (learning and memory that rely on the basal ganglia and associated circuitry) can explain numerous brain and behavioral characteristics across learning and processing, in multiple disorders, including both commonalities and differences. We describe procedural memory, examine its role in various aspects of language, and then present the PDH and relevant evidence across language-related disorders. The PDH has substantial explanatory power, and both basic research and translational implications.

In the last 20 years, research on implicit social cognition has established that social judgments and behavior are guided by attitudes and stereotypes of which the actor may lack awareness. Research using the methods of implicit social cognition has produced the concept of implicit bias, which has generated wide attention not only in social, clinical, and developmental psychology, but also in disciplines outside of psychology, including business, law, criminal justice, medicine, education, and political science. Although this rapidly growing body of research offers prospects of useful societal applications, the theory needed to confidently guide those applications remains insufficiently developed. This article describes the methods that have been developed, the findings that have been obtained, and the theoretical questions that remain to be answered.

Research has demonstrated that adolescence is an important time for self- and other-oriented development that underlies many skills vital for becoming a contributing member of society with healthy intergroup relations. It is often assumed that these two processes, thinking about self and thinking about others, are pitted against each other when adolescents engage in social decision making such as giving or sharing. Recent evidence from social neuroscience, however, does not support this notion of conflicting motives, suggesting instead that thinking about self and others relies on a common network of social-affective brain regions, with the medial prefrontal cortex playing a central role in the integration of perspectives related to self and others. Here, we argue that self- and other-oriented thinking are intertwined processes that rely on an overlapping neural network. Adolescents’ motivation to contribute to society can be fostered most when self- and other-oriented motives align.

This review delineates core components of the social media ecosystem, specifying how online platforms complicate established social psychological effects. We assess four pairs of social media elements and effects: profiles and self-presentation; networks and social mobilization; streams and social comparison; and messages and social connectedness. In the process, we describe features and affordances that comprise each element, underscoring the complexity of social media contexts as they shift to a central topic within psychology. Reflecting on this transitional state, we discuss how researchers will struggle to replicate the effects of dynamic social environments. Consequently, we outline the obstacles in isolating effects that reoccur across platforms, as well as the challenges and opportunities that come with measuring contexts across periods. By centering on the elements that define the online ecosystem, psychological research can establish a more durable foundation for replicating the effects of social media and chronicling the evolution of social interaction.

Deceptive claims surround us, embedded in fake news, advertisements, political propaganda, and rumors. How do people know what to believe? Truth judgments reflect inferences drawn from three types of information: base rates, feelings, and consistency with information retrieved from memory. First, people exhibit a bias to accept incoming information, because most claims in our environments are true. Second, people interpret feelings, like ease of processing, as evidence of truth. And third, people can (but do not always) consider whether assertions match facts and source information stored in memory. This three-part framework predicts specific illusions (e.g., truthiness, illusory truth), offers ways to correct stubborn misconceptions, and suggests the importance of converging cues in a post-truth world, where falsehoods travel further and faster than the truth.

When individuals experience empathy, they often seek to bolster others’ well-being. But what do empathizers want others to feel? Though psychologists have studied empathy and prosociality for decades, this question has yet to be clearly addressed. This is because virtually all existing research focuses on cases in which improving others’ well-being also comprises heightening their positive affect or decreasing their negative affect and helping them reach their own emotional goals. In this review, I argue that real-life empathic goals encompass a broader range—including sometimes worsening targets’ affect or contravening their wishes in order to improve their well-being—that can be productively integrated into the framework of interpersonal emotion regulation (IER). I review the empathic IER spectrum in a number of contexts, including close relationships, professional caregiving, and group-based emotions. Integrating empathy and IER provides a synthetic and generative way to ask new questions about how social emotions produce prosocial actions.

Contemporary inquiries in psychology and law increasingly cross disciplinary boundaries for inspiration. Our focus is on whether such research is substantive in both directions and whether interdisciplinary psychology-and-law author teams produce more meaningful interdisciplinary work, specifically in decision-making research conducted between 2004 and 2017. We found that interdisciplinary psychology-and-law author teams (a) produce publications that show more cross-disciplinary integration in methods than single-discipline teams, (b) produce publications with more conceptual integration in the introduction and discussion than only law author teams, and (c) elicit more citations than only law or only psychology author teams. When considering a collaborative team approach, we suggest that the disciplinary background of the collaborators is a meaningful indicator of the type of interdisciplinary research to be conducted. We also suggest that it would be beneficial for both psychology and law journals to be more open to publishing scholarship from mixed disciplinary teams.

This article reviews the relationship between people's perceptions of unfairness and their tendencies to think, feel, and act in radicalizing ways. Various theories of radicalization processes are reviewed that examine key aspects of the psychology of perceived unfairness. The review shows that experienced group deprivation and perceived immorality are among the core judgments that can drive Muslim radicalization, right-wing radicalization, and left-wing radicalization. Symbols of injustice, the legitimization of revolutionary thought, and the experience of unfair treatment can also increase radicalization. The review also examines core moderators (e.g., uncertainty and insufficient self-correction) and mediators (e.g., externally oriented emotions) of the linkage between perceived unfairness and core components of radicalization (e.g., rigidity of thoughts, hot-cognitive defense of cultural worldviews, and violent rejection of democratic principles and the rule of law). The review discusses how the study of unfairness and radicalization contributes to a robust and meaningful science of psychology.

This article reviews recent empirical research on collective choice and collaborative problem solving. Much of the collective choice research focuses on hidden profiles. A hidden profile exists when group members individually have information favoring suboptimal choices but the group collectively has information favoring an optimal choice. Groups are notoriously bad at discovering optimal choices when information is distributed to create a hidden profile. Reviewed work identifies informational structures, individual processing biases, and social motivations that inhibit and facilitate the discovery of hidden profiles. The review of collaborative problem-solving research is framed by Larson's concept of synergy. Synergy refers to performance gains that are attributable to collaboration. Recent research has addressed factors that result in groups performing as well as their best member (weak synergy) and better than their best member (strong synergy). Communication dynamics underlying both collective choice and collaborative problem solving are discussed.

How do we learn what we know about others? Answering this question requires understanding the perceptual mechanisms with which we recognize individuals and their actions, and the processes by which the resulting perceptual representations lead to inferences about people's mental states and traits. This review discusses recent behavioral, neural, and computational studies that have contributed to this broad research program, encompassing both social perception and social cognition.

Family members are the primary source of support for older adults with chronic illness and disability. Thousands of published empirical studies and dozens of reviews have documented the psychological and physical health effects of caregiving, identified caregivers at risk for adverse outcomes, and evaluated a wide range of intervention strategies to support caregivers. Caregiving as chronic stress exposure is the conceptual driver for much of this research. We review and synthesize the literature on the impact of caregiving and intervention strategies for supporting caregivers. The impact of caregiving is highly variable, driven largely by the intensity of care provided and the suffering of the care recipient. The intervention literature is littered with many failures and some successes. Successful interventions address both the pragmatics of care and the emotional toll of caregiving. We conclude with both research and policy recommendations that address a national agenda for caregiving.