Updating memories—The role of prediction errors in memory reconsolidation

2015 ◽  
Vol 278 ◽  
pp. 375-384 ◽  
Author(s):  
Marc T.J. Exton-McGuinness ◽  
Jonathan L.C. Lee ◽  
Amy C. Reichelt
Keyword(s):  
Memory Reconsolidation ◽  
Prediction Errors

Better, worse, or different than expected - On the role of value and identity prediction errors in fear memory reactivation

2021 ◽  
Author(s):  
Anna Gerlicher ◽  
Merel Kindt ◽  
Sjoerd A Verweij
Keyword(s):  
Adrenergic Receptors ◽  
Fear Memory ◽  
Memory Reconsolidation ◽  
Control Group ◽  
Prediction Errors ◽  
Future Directions ◽  
Memory Reactivation ◽  
A Value ◽  
Propranolol Hcl

Although reconsolidation-based interventions constitute a promising new avenue to treating fear and anxieties disorders, the success of the intervention is not guaranteed. The initiation of memory reconsolidation is dependent on whether a mismatch between the experienced and predicted outcome – a prediction error (PE) – occurs during fear memory reactivation. It remains, however, elusive whether any type of PE renders fear memories susceptible to reconsolidation disruption. Here, we investigated whether a value PE, elicited by an outcome that is better or worse than expected, is necessary to make fear memories susceptible to reconsolidation disruption or whether a model-based identity PE, i.e., a PE elicited by an outcome equally aversive but different than expected, would be sufficient. Blocking beta-adrenergic receptors with propranolol HCl after reactivation did, however, not reduce the expression of fear after either type of PE. Instead, we observed intact fear memory expression 24h after reactivation in the value-, identity- and a no-PE control group. The present results do not corroborate our earlier findings of reconsolidation disruption and point towards challenges that the field is currently facing in observing evidence for memory reconsolidation at all. We provide potential explanations for the unexpected failure of replicating reconsolidation disruption and discuss future directions.

Reward Prediction Errors Drive Declarative Learning Irrespective of Agency

2020 ◽  
Author(s):  
Kate Ergo ◽  
Luna De Vilder ◽  
Esther De Loof ◽  
Tom Verguts
Keyword(s):  
Learning Theory ◽  
Learning Effect ◽  
Steady Increase ◽  
Prediction Errors ◽  
Experimental Paradigm ◽  
Reward Prediction ◽  
Declarative Learning

Recent years have witnessed a steady increase in the number of studies investigating the role of reward prediction errors (RPEs) in declarative learning. Specifically, in several experimental paradigms RPEs drive declarative learning; with larger and more positive RPEs enhancing declarative learning. However, it is unknown whether this RPE must derive from the participant’s own response, or whether instead any RPE is sufficient to obtain the learning effect. To test this, we generated RPEs in the same experimental paradigm where we combined an agency and a non-agency condition. We observed no interaction between RPE and agency, suggesting that any RPE (irrespective of its source) can drive declarative learning. This result holds implications for declarative learning theory.

The Embodiment of Concepts

2018 ◽  
pp. 640-660
Author(s):  
Michiel Van Elk ◽  
Harold Bekkering
Keyword(s):  
Prediction Error ◽  
Predictive Processing ◽  
Prediction Errors ◽  
Conceptual Representation ◽  
Recurrent Processing ◽  
Different Dimensions ◽  
Prior Models ◽  
Processing Framework

We characterize theories of conceptual representation as embodied, disembodied, or hybrid according to their stance on a number of different dimensions: the nature of concepts, the relation between language and concepts, the function of concepts, the acquisition of concepts, the representation of concepts, and the role of context. We propose to extend an embodied view of concepts, by taking into account the importance of multimodal associations and predictive processing. We argue that concepts are dynamically acquired and updated, based on recurrent processing of prediction error signals in a hierarchically structured network. Concepts are thus used as prior models to generate multimodal expectations, thereby reducing surprise and enabling greater precision in the perception of exemplars. This view places embodied theories of concepts in a novel predictive processing framework, by highlighting the importance of concepts for prediction, learning and shaping categories on the basis of prediction errors.

scholarly journals Epilepsy and Ecstatic Experiences: The Role of the Insula

2021 ◽  
Vol 11 (11) ◽  
pp. 1384
Author(s):  
Fabienne Picard ◽  
Peter Bossaerts ◽  
Fabrice Bartolomei
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Mystical Experience ◽  
Focal Epilepsy ◽  
Anterior Insula ◽  
External Signal ◽  
Prediction Errors ◽  
Rare Form ◽  
The World

Ecstatic epilepsy is a rare form of focal epilepsy in which the aura (beginning of the seizures) consists of a blissful state of mental clarity/feeling of certainty. Such a state has also been described as a “religious” or mystical experience. While this form of epilepsy has long been recognized as a temporal lobe epilepsy, we have accumulated evidence converging toward the location of the symptomatogenic zone in the dorsal anterior insula during the 10 last years. The neurocognitive hypothesis for the genesis of a mental clarity is the suppression of the interoceptive prediction errors and of the unexpected surprise associated with any incoming internal or external signal, usually processed by the dorsal anterior insula. This mimics a perfect prediction of the world and induces a feeling of certainty. The ecstatic epilepsy is thus an amazing model for the role of anterior insula in uncertainty and surprise.

scholarly journals Skipping a Beat: Heartbeat-Evoked Potentials Reflect Predictions during Interoceptive-Exteroceptive Integration

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Leah Banellis ◽  
Damian Cruse
Keyword(s):  
Predictive Coding ◽  
Auditory Stimuli ◽  
Prediction Errors ◽  
Self Awareness ◽  
Early Effect ◽  
Temporal Cues ◽  
Heartbeat Evoked Potential ◽  
External Signals ◽  
Potential Tool

Abstract Several theories propose that emotions and self-awareness arise from the integration of internal and external signals and their respective precision-weighted expectations. Supporting these mechanisms, research indicates that the brain uses temporal cues from cardiac signals to predict auditory stimuli and that these predictions and their prediction errors can be observed in the scalp heartbeat-evoked potential (HEP). We investigated the effect of precision modulations on these cross-modal predictive mechanisms, via attention and interoceptive ability. We presented auditory sequences at short (perceived synchronous) or long (perceived asynchronous) cardio-audio delays, with half of the trials including an omission. Participants attended to the cardio-audio synchronicity of the tones (internal attention) or the auditory stimuli alone (external attention). Comparing HEPs during omissions allowed for the observation of pure predictive signals, without contaminating auditory input. We observed an early effect of cardio-audio delay, reflecting a difference in heartbeat-driven expectations. We also observed a larger positivity to the omissions of sounds perceived as synchronous than to the omissions of sounds perceived as asynchronous when attending internally only, consistent with the role of attentional precision for enhancing predictions. These results provide support for attentionally modulated cross-modal predictive coding and suggest a potential tool for investigating its role in emotion and self-awareness.

scholarly journals Beyond reward prediction errors: the role of dopamine in movement kinematics

2015 ◽  
Vol 9 ◽  
Author(s):  
Joseph W. Barter ◽  
Suellen Li ◽  
Dongye Lu ◽  
Ryan A. Bartholomew ◽  
Mark A. Rossi ◽  
...  
Keyword(s):  
Prediction Errors ◽  
Movement Kinematics ◽  
Reward Prediction

Therapeutic affect reduction, emotion regulation, and emotional memory reconsolidation: A neuroscientific quandary

2015 ◽  
Vol 38 ◽  
Author(s):  
Kevin S. LaBar
Keyword(s):  
Emotion Regulation ◽  
Therapeutic Process ◽  
Emotional Arousal ◽  
Emotional Memory ◽  
Memory Reconsolidation ◽  
Neural Pathways ◽  
Precipitating Factor

AbstractLane et al. emphasize the role of emotional arousal as a precipitating factor for successful psychotherapy. However, as therapy ensues, the arousal diminishes. How can the unfolding therapeutic process generate long-term memories for reconsolidated emotional material without the benefit of arousal? Studies investigating memory for emotionally regulated material provide some clues regarding the neural pathways that may underlie therapy-based memory reconsolidation.

The role of arousal in predictive coding

2016 ◽  
Vol 39 ◽  
Author(s):  
Fernando Ferreira-Santos
Keyword(s):  
Predictive Models ◽  
Predictive Coding ◽  
Prediction Errors

AbstractWithin a predictive coding approach, the arousal/norepinephrine effects described by the GANE (glutamate amplifies noradrenergic effects) model seem to modulate the precision attributed to prediction errors, favoring the selective updating of predictive models with larger prediction errors. However, to explain how arousal effects are triggered, it is likely that different kinds of prediction errors (including interoceptive/affective) need to be considered.

scholarly journals Associative learning and animal cognition

2012 ◽  
Vol 367 (1603) ◽  
pp. 2733-2742 ◽  
Author(s):  
Anthony Dickinson
Keyword(s):  
Associative Learning ◽  
Practical Reasoning ◽  
Animal Cognition ◽  
Prediction Errors ◽  
Associative Processes ◽  
Directed Action ◽  
Processing Architectures ◽  
The Relationship ◽  
Theoretical Component

Associative learning plays a variety of roles in the study of animal cognition from a core theoretical component to a null hypothesis against which the contribution of cognitive processes is assessed. Two developments in contemporary associative learning have enhanced its relevance to animal cognition. The first concerns the role of associatively activated representations, whereas the second is the development of hybrid theories in which learning is determined by prediction errors, both directly and indirectly through associability processes. However, it remains unclear whether these developments allow associative theory to capture the psychological rationality of cognition. I argue that embodying associative processes within specific processing architectures provides mechanisms that can mediate psychological rationality and illustrate such embodiment by discussing the relationship between practical reasoning and the associative-cybernetic model of goal-directed action.

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