A5035103871- Memory and Neural Mechanisms
- Sleep and Wakefulness Research
- Sleep and related disorders
- Memory Processes and Influences
- EEG and Brain-Computer Interfaces
- Cognitive Science and Mapping
- Neural dynamics and brain function
- Social and Intergroup Psychology
- Child and Animal Learning Development
- Cognitive Functions and Memory
- Neural and Behavioral Psychology Studies
- Identity, Memory, and Therapy
- Neuroscience and Neuropharmacology Research
- Advanced Neuroimaging Techniques and Applications
- Neural Networks and Applications
- Neuroscience, Education and Cognitive Function
- Sport Psychology and Performance
- Functional Brain Connectivity Studies
- Psychology of Moral and Emotional Judgment
- Stress Responses and Cortisol
- Action Observation and Synchronization
- Animal Vocal Communication and Behavior
- Generative Adversarial Networks and Image Synthesis
- Circadian rhythm and melatonin
- Distributed and Parallel Computing Systems
California Polytechnic State University
2022-2024
Princeton University
2015-2022
University of California, Davis
2021-2022
Neuroscience Institute
2019-2021
Northwestern University
2012-2018
University of Birmingham
2016
Consolidation makes it possible for memories of our daily experiences to be stored in an enduring way. We propose that memory consolidation depends on the covert reactivation previously learned material both during sleep and wakefulness. Here we tested whether operation influences fundamental selectivity storage—of all events experience each day, which will retained forgotten? systematically manipulated value information by 60 young subjects; they 72 object-location associations while...
When sounds associated with learning are presented again during slow-wave sleep, targeted memory reactivation (TMR) can produce improvements in subsequent location recall. Here we used TMR to investigate consolidation an afternoon nap as a function of prior learning. Twenty healthy individuals (8 male, 19–23 y old). Participants learned associate each 50 common objects unique screen location. object appeared, its characteristic sound was played. After electroencephalography (EEG) electrodes...
Although people may endorse egalitarianism and tolerance, social biases can remain operative drive harmful actions in an unconscious manner. Here, we investigated training to reduce implicit racial gender bias. Forty participants processed counterstereotype information paired with one sound for each type of Biases were reduced immediately after training. During subsequent slow-wave sleep, was unobtrusively presented participant, repeatedly, reactivate Corresponding bias reductions fortified...
Retrieval of learning-related neural activity patterns is thought to drive memory stabilization. However, finding reliable, noninvasive, content-specific indicators retrieval remains a central challenge. Here, we attempted decode the content retrieved memories in EEG during sleep. During encoding, male and female human subjects learned associate spatial locations visual objects with left- or right-hand movements, each object was accompanied by an inherently related sound. subsequent...
Abstract Memory consolidation involves the reactivation of memory traces during sleep. If different memories are reactivated each night, how much do they interfere with one another? We examined whether reactivating multiple incurs a cost to sleep-related benefits by contrasting versus single First, participants learned on-screen location objects. Each object was part semantically coherent group comprised either one, two, or six items (e.g., cats). During sleep, sounds were unobtrusively...
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
Memory reactivation during sleep is thought to facilitate memory consolidation. Most research has examined how of specific facts, objects, and associations benefits their overall retention. However, our memories are not unitary, all features a persist in tandem over time. Instead, transformed, with some strengthened others weakened. Does drive transformation? We leveraged the Targeted Reactivation technique an object category learning paradigm examine this question. Participants (20 female,...
EEG oscillations known as sleep spindles have been linked with various aspects of cognition, but the specific functions they signal remain controversial. Two types distinguished: slow at 11–13.5 Hz and fast 13.5–16 Hz. Slow exhibit a frontal scalp topography, whereas posterior topography preferentially memory consolidation during sleep. To advance understanding beyond that provided from correlative studies spindles, we aimed to develop new method systematically manipulate spindles. We...
Two fundamental issues in memory research concern when later experiences strengthen or weaken initial memories and the two become linked remain independent. A promising candidate for explaining these is semantic relatedness. Here, across five paired-associate learning experiments (N=1000), we systematically varied relatedness between cues, targets, both. We found that retroactively benefited long-term performance semantically related words (vs. unshown control words), benefits increased as a...
Understanding how individual memories are reactivated during sleep is essential in theorizing memory consolidation. Here, we employed the targeted reactivation (TMR) paradigm to unobtrusively replaying auditory cues human participants' slow-wave (SWS). Using representational similarity analysis (RSA) on cue-elicited electroencephalogram (EEG), found temporally segregated and functionally distinct item-specific neural representations: early post-cue EEG activity (within 0 2,000 ms) contained...
Some neural representations gradually change across multiple timescales. Here we argue that modeling this "drift" could help explain the spacing effect (the long-term benefit of distributed learning), whereby differences between stored and current temporal context activity patterns produce greater error-driven learning. We trained a neurobiologically realistic model entorhinal cortex hippocampus to learn paired associates alongside vectors drifted learning episodes and/or before final...
It has been postulated recently that the cerebellum contributes same prediction and learning functions to linguistic processing as it does towards motor control. For example, repetitive TMS over posterior-lateral caused a significant loss in predictive language processing, assessed by latency of saccades target items spoken sentences, using Visual World task. We aimed assess polarity-specific effects cerebellar TDCS, hypothesising cathodal TDCS should impair prediction, anodal facilitate it....
Competition between memories can cause weakening of those memories. Here we investigated memory competition during sleep in human participants by presenting auditory cues that had been linked to two distinct picture-location pairs wake. We manipulated learning requiring rehearse associated with the same sound either competitively (choosing one over other, leading greater competition) or separately; hypothesized would lead when were cued sleep. With separate-pair learning, found cueing...
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally-optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
Abstract To understand how memories are reactivated and consolidated during sleep, experimenters have employed the unobtrusive re‐presentation of memory cues from a variety pre‐sleep learning tasks. Using this procedure, known as targeted reactivation (TMR), we previously found that counter‐social‐bias training post‐training sleep could selectively enhance effects in reducing unintentional social biases. Here, describe re‐analyses electroencephalographic (EEG) data previous study to...
Recollecting painful or traumatic experiences can be deeply troubling. Sleep may offer an opportunity to reduce such suffering. We developed a procedure weaken older aversive memories by reactivating newer positive during sleep. Participants viewed 48 nonsense words each paired with unique image, followed overnight In the next evening, participants learned associations between half of and additional images, creating interference. During following non-rapid-eye-movement sleep, auditory memory...
Abstract While recounting an experience, one can employ multiple strategies to transition from part the next. For instance, if event was learned out of linear order, recall events according time they were (temporal), similar (semantic), occurring nearby in (chronological), or produced by current (causal). To disentangle importance these factors, we had participants watch nonlinear narrative, Memento, under different task instructions and presentation orders. each scene film, also separately...