scispace - formally typeset
Open AccessPosted ContentDOI

Mnemonic prediction errors promote detailed memories.

Reads0
Chats0
TLDR
Enhanced item memory in the absence of gist-based mistakes suggests that violations enhanced memory for items’ details, which could be mediated via distinct memory traces.
Abstract
When our experience violates our predictions, it is adaptive to update our knowledge to promote a more accurate representation of the world and facilitate future predictions. Theoretical models propose that these mnemonic prediction errors should be encoded into a distinct memory trace to prevent interference with previous, conflicting memories. We investigated this proposal by repeatedly exposing participants to pairs of sequentially presented objects (A → B), thus evoking expectations. Then, we violated participants' expectations by replacing the second object in the pairs with a novel object (A → C). The following item memory test required participants to discriminate between identical old items and similar lures, thus testing detailed and distinctive item memory representations. In two experiments, mnemonic prediction errors enhanced item memory: Participants correctly identified more old items as old when those items violated expectations during learning, compared with items that did not violate expectations. This memory enhancement for C items was only observed when participants later showed intact memory for the related A → B pairs, suggesting that strong predictions are required to facilitate memory for violations. Following up on this, a third experiment reduced prediction strength prior to violation and subsequently eliminated the memory advantage of violations. Interestingly, mnemonic prediction errors did not increase gist-based mistakes of identifying old items as similar lures or identifying similar lures as old. Enhanced item memory in the absence of gist-based mistakes suggests that violations enhanced memory for items' details, which could be mediated via distinct memory traces. Together, these results advance our knowledge of how mnemonic prediction errors promote memory formation.

read more

Content maybe subject to copyright    Report

1
Mnemonic prediction errors promote detailed memories
Oded Bein
1*
, Natalie A. Plotkin
2
, Lila Davachi
2,3
Affiliations
1
Princeton Neuroscience Institute, Princeton University
Princeton, NJ, 08540,
2
Department of Psychology, Columbia University
New York, NY, 10027, United States
3
Center for Clinical Research,
The Nathan S. Kline Institute for Psychiatric Research,
Orangeburg, NY, 10962, United States
*Correspondence: oded.bein@princeton.edu
Key words
Prediction error, memory, distinctiveness, pattern separation, mnemonic discrimination,
learning
Running title: prediction errors promote detailed memories
31 pages, 2 figures, 1 Supplementary Information.
Word count, abstract: 254
Word count, main text (excluding abstract, Methods and References): 7,703

2
Abstract
When our experience violates our predictions, it is adaptive to update our knowledge to promote
a more accurate representation of the world and facilitate future predictions. Theoretical models
propose that these mnemonic prediction errors should be encoded into a distinct memory trace to
prevent interference with previous, conflicting memories. We investigated this proposal by
repeatedly exposing participants to pairs of sequentially presented objects (A->B), thus evoking
expectations. Then, we violated participants’ expectations by replacing the second object in the
pairs with a novel object (A->C). The following item memory test required participants to
discriminate between identical old items and similar lures, thus testing detailed and distinctive
item memory representations. In two experiments, mnemonic prediction errors enhanced item
memory: participants correctly identified more old items as old when those items violated
expectations during learning, compared to items that did not violate expectations. This memory
enhancement for C items was only observed when participants later showed intact memory for
the related A->B pairs, suggesting that strong predictions are required to facilitate memory for
violations. Following up on this, a third experiment reduced prediction strength prior to violation
and subsequently eliminated the memory advantage of violations. Interestingly, mnemonic
prediction errors did not increase gist-based mistakes of identifying old items as similar lures or
identifying similar lures as ‘old’. Enhanced item memory in the absence of gist-based mistakes
suggests that violations enhanced memory for items’ details, which could be mediated via
distinct memory traces. Together, these results advance our knowledge of how mnemonic
prediction errors promote memory formation.

3
Introduction
Most of our daily experiences are highly repetitive and predictable. We typically take the same
route to work every day, or we enjoy our favorite soup at the neighborhood restaurant over and
over again. Through repetition, we develop predictions and expectations of what will happen
within a specific context. Once in a while, however, we encounter surprising events that violate
these expectations. For example, we might enter our neighborhood restaurant expecting to have
our favorite soup, but we find out on that evening that the restaurant is offering brussels sprouts
as an appetizer, instead. We term such surprising events “mnemonic prediction errors”: situations
where we expect one thing based on our memory, but the reality is different.
When we encounter a mnemonic prediction error, it is adaptive to update our memories
in order to make better and more accurate predictions in the future. How does memory updating
happen? Interestingly, despite the proposed beneficial role that novelty and prediction errors play
in learning and memory (Ergo et al., 2020; Frank and Kafkas, 2021; Friston, 2018; Henson &
Gagnepain, 2010; Niv & Schoenbaum, 2008; Quent et al., 2021; Reichardt et al., 2020; Rescorla
& Wagner, 1972; Schomaker & Meeter, 2015; Schultz et al., 1997), very little is known about
how mnemonic prediction errors modulate memory encoding. Theoretical models propose that
mnemonic prediction errors should be encoded as distinct memory traces (Frank et al., 2020;
Gershman et al., 2014; Love et al., 2004; McClelland et al., 1995). That is, events that violate our
expectations should be allocated a unique memory representation distinct from prior memories.
This may facilitate memory for the unexpected event, while also mitigating interference with
existing memories that may still be relevant. Indeed, the complementary learning systems
framework shows computationally that the absence of a separated memory trace for mnemonic
prediction errors results in catastrophic interference – incorrectly erasing previous memories
(Kumaran et al., 2016; McClelland et al., 1995). In the restaurant example, this would mean that
immediate integration of the evening that the restaurant served the brussels sprouts instead of
your favorite soup could lead to updating your memory to hold that the restaurant no longer
serves the soup. This might be maladaptive, as the restaurant may still serve the soup on other
nights. Thus, theoretically, memory enhancement of mnemonic prediction errors via a distinct
and separated memory trace enables remembering the event that violated our expectations, while
also protecting previous, potentially relevant memories.

4
However, empirical evidence that mnemonic prediction errors facilitate encoding of
distinct memory traces is scarce. Previous studies provide some evidence that novel and
potentially unexpected events enhance memory (Tulving & Kroll, 1995; von Restorff, 1933).
Most notable is the “von Restorff effect”, or, more broadly, oddball manipulations, whereby a
rarely occurring item that is clearly distinct from the rest of the items in a list (e.g., a dog in a list
of fruits) is better remembered later on (Hunt, 1995; Ranganath & Rainer, 2003; Schomaker &
Meeter, 2015; von Restorff, 1933). One potential account for this effect is that such isolated
items are remembered better because they are unexpected and thus salient (e.g., Axmacher et al.,
2010; Green, 1956; Murty et al., 2016). However, alternative accounts that do not involve
violation of expectations posit that isolation per se can facilitate memory, perhaps because
isolated items elicit less interference during retrieval (Hunt, 2006; Waddill & McDaniel, 1998).
These accounts rely on repeated observations that enhanced memory for isolated items is also
obtained when the isolated item is the second item in the list, before any expectations can be
formed (e.g., Hunt, 1995; Schmidt & Schmidt, 2017). Hence, it is likely that enhanced memory
for oddballs need not result from violation of prior expectations.
Recent studies have directly manipulated violation of expectations and found enhanced
memory for such violations (Antony et al., 2020; Brod et al., 2018; Greve et al., 2017; Kafkas &
Montaldi, 2018a). In one study, Greve et al. (2017) taught participants through repeated exposure
that different scene categories predict either positive or negative valence words, and then
violated this expectation by altering the valence of the words. Memory of the word-scene
association was higher for words that violated prior contingencies (Greve et al., 2017). Similarly,
Kafkas and Montaldi (2018a) taught participants that a specific symbol-cue is followed by either
a man-made object or natural object, and later switched the contingency in some of the trials to
violate participants’ predictions. Recollection rates were higher for objects that violated
participants’ prior expectations, suggesting that mnemonic prediction errors did indeed enhance
memory for unexpected items (Kafkas & Montaldi, 2018a).
Nonetheless, this prior work cannot speak to whether encountering a mnemonic
prediction error results in a detailed memory representation that is potentially distinct from other
memories. This is because enhanced memory can result from either having a distinct
representation of a specific event, or from integrating across memories (e.g., Clewett et al., 2019;
DuBrow & Davachi, 2017; Favila et al., 2016; LaRocque et al., 2013; Schlichting & Preston,

5
2015). For example, it has been shown that items that were later remembered were less similar to
each other (more distinct) in their hippocampal multivoxel activity patterns, compared to items
that were later forgotten (LaRocque et al., 2013), suggesting that distinct item representations
promote memory (see also Favila et al., 2016; Jenkins & Ranganath, 2016). Other studies,
however, have shown that integration across experiences can benefit memory (e.g., Richter et al.,
2016) and that similarity between multivoxel representations of items mediated accurate
temporal memory (DuBrow & Davachi, 2014; see also Schlichting et al., 2015). Thus, it is
currently unknown whether mnemonic prediction errors promote detailed and distinct memories.
In the current behavioral study, we addressed this question by violating participants’
predictions and then conducting a memory test that gauges memory distinctiveness (Bakker et
al., 2008; Stark et al., 2019). To evoke expectations, we employed a statistical learning paradigm
in which participants were repeatedly presented with a stream of objects. Unbeknownst to the
participants, we embedded neighboring pairs of objects within the stream that always appeared in
the same order (Figure 1A). Past work has established that through repetition and learning,
participants come to predict the second object in the pair upon seeing the first object (G. Kim et
al., 2014, 2017; Kok et al., 2017; Schapiro et al., 2012). Following the prediction learning phase,
we violated expectations in half of the pairs by replacing the second object in the pair with a
novel object (Figure 1B). The other half of the pairs were presented intact, thus, no violations
occurred. We scattered novel objects after these intact pairs to serve as a no-violation baseline
condition where no sequential predictions were violated.
Critically, the violation phase was followed by a memory test that targets memory
distinctiveness. We presented the participants with either old items from the violation phase,
similar lures (a different exemplar of an object presented during the violation phase, e.g., a
different pair of scissors than the scissors presented in the violation phase, Figure 1C), or novel
foils that were only presented during the memory test (Figure 1C; Bakker et al., 2008; Lacy et
al., 2011; Stark et al., 2019). The participants indicated whether an item was identical to an item
they had seen before (‘old’), ‘similar’, or ’new’. It is thought that such a fine-grained memory
discrimination requires retrieval of perceptual details of the learned items, to know whether the
item presented during the memory test is identical or, rather, only similar, to the item seen during
learning. Successful discrimination therefore potentially indicates a distinct memory of the
learned items, and can manifest in two ways. The first way is specifically endorsing an old item

Figures
Citations
More filters
Posted ContentDOI

Statistical prediction of the future impairs episodic encoding of the present

TL;DR: This article found that items allowing for prediction of what will appear next based on learned regularities were less likely to be encoded into memory, while the hippocampus was responsible for this interference between statistical learning and episodic memory.
Posted ContentDOI

Prediction Errors Disrupt Hippocampal Representations and Update Episodic Memories

TL;DR: This article found that predicting mnemonic prediction errors by interrupting familiar narrative videos immediately before the expected endings reversed the relationship between univariate hippocampal activation and memory: greater activation predicted memory preservation after expected endings, but memory updating after surprising endings.
Posted ContentDOI

Temporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex

TL;DR: This paper used human intracranial EEG as a time-resolved method to quantify prediction in visual cortex during a statistical learning task and link the strength of these predictions to subsequent episodic memory behavior.
Journal ArticleDOI

Temporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex

TL;DR: The authors used human intracranial EEG as a time-resolved method to quantify prediction in visual cortex during a statistical learning task and link the strength of these predictions to subsequent episodic memory behavior.
Journal ArticleDOI

Explicitly predicting outcomes enhances learning of expectancy-violating information

TL;DR: This paper showed that making explicit predictions before seeing numerical facts boosts learning of expectancy-violating information relative to doing so post hoc, leading to a U-shaped relation between expectedness and memory.
References
More filters
Journal ArticleDOI

The Psychophysics Toolbox.

David H. Brainard
- 01 Jan 1997 - 
TL;DR: The Psychophysics Toolbox is a software package that supports visual psychophysics and its routines provide an interface between a high-level interpreted language and the video display hardware.
Journal ArticleDOI

The VideoToolbox software for visual psychophysics: transforming numbers into movies.

TL;DR: The VideoToolbox is a free collection of two hundred C subroutines for Macintosh computers that calibrates and controls the computer-display interface to create accurately specified visual stimuli.
Journal ArticleDOI

A Neural Substrate of Prediction and Reward

TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.
Journal ArticleDOI

Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

TL;DR: The account presented here suggests that memories are first stored via synaptic changes in the hippocampal system, that these changes support reinstatement of recent memories in the neocortex, that neocortical synapses change a little on each reinstatement, and that remote memory is based on accumulated neocorticals changes.
Related Papers (5)
Frequently Asked Questions (11)
Q1. What are the contributions in this paper?

This paper found that mnemonic prediction errors can be encoded as distinct memory traces, which can be used to protect previous, potentially relevant memories. 

When the authors encounter a surprising event that violates their expectations, it is adaptive to update their memory in order to facilitate more accurate predictions in the future ( Ergo et al., 2020 ; Friston, 2018 ; Henson & Gagnepain, 2010 ; Niv & Schoenbaum, 2008 ; Rescorla & Wagner, 1972 ; Sinclair & Barense, 2019 ). Future research could further explore how attention and goals interact with memory in the processing of prediction errors ( Garlitch & Wahlheim, 2020 ; Kafkas et al., 2018b ; Ortiz-Tudela et al., 2018 ). Future research, potentially using fMRI, could evaluate predictions in the moment to better elucidate the conditions by which pruning of violated predictions occurs. Future research, potentially with additional measures ( e. g., memory dependency, Horner & Burgess, 2013, 2014 ), could better elucidate the specific relationship between memory for new events and prior memories ( see also Bein, Reggev, et al. 

In Experiment 3 the authors reduced prediction strength by lowering associative binding during encoding and found that while item memory remained intact overall, the memory advantage for violations was diminished. 

To evoke expectations, the authors employed a statistical learning paradigm in which participants were repeatedly presented with a stream of objects. 

Of the total number of images, 180 images were allocated as images to compose the original predictive pairs, later to be violated or not violated (of these, 90 were classified as big objects and 90 were classified as small objects for the learning task, see below). 

because this experiment aimed to examine item memory for the violation of weaklyencoded predictions, the authors did not exclude participants based on low memory of the original pairs (also note that on average, memory rates were approximately .4, which was their exclusion criterion in the previous experiments, see below). 

These studies suggest that generating a memory prediction may reduce processing of external details as long as these predictions are met, and thus impair memory of external details like the specific item presented (see also Bein, Duncan, et al., 2020). 

Another study found that mnemonic prediction errors enhanced recollection judgements for the violation item— perhaps reflecting additional details that were remembered from encoding—but did not enhance familiarity judgements that would reflect only item recognition (Kafkas & Montaldi, 2018a). 

the complementary learning systems framework shows computationally that the absence of a separated memory trace for mnemonic prediction errors results in catastrophic interference – incorrectly erasing previous memories (Kumaran et al., 2016; McClelland et al., 1995). 

An interesting result by Kim et al. (2020) suggests that the memory advantage for violations might be attributed (at least in part) to reduced memory of prediction-consistent items. 

Memory rates for identical old items were entered to a repeated-measures ANOVA with Original-Pair Memory (remembered or forgotten) and Response (‘old’ or ’similar’), which revealed a significant interaction (Exp 1.: F(1,26) = 5.58, p = .026; ηp2 = 0.18; Exp. 2: F(1,26) = 6.12, p = .020; ηp2 = 0.19). 

Trending Questions (2)
How is mnemonics related to memory?

Mnemonic prediction errors enhance detailed item memory by creating distinct memory traces when expectations are violated, promoting accurate memory formation and preventing interference with conflicting memories.

How do mnemonic prediction errors influence the formation and later modification of episodic memory?

The provided paper does not directly address how mnemonic prediction errors influence the formation and later modification of episodic memory.