Individuals can use information stored in episodic long-term memory (LTM) to optimize performance in a working memory (WM) task, and the WM system negotiates the exchange of information between WM and LTM depending on the current memory load. In this study, we assessed the ability of different accounts of interactions between LTM and WM to explain these findings, by investigating whether the position of pre-learnt information within a memory list encoded into WM affects the benefit it provides to immediate memory. In two experiments we varied the input position of previously learned word-word pairs within a set of four to-be-remembered pairs. We replicated previous findings of superior performance when these LTM pairs were included in the WM task and show that the position in the list in which these LTM pairs were included not seem to matter. These results are most consistent with the idea that having access to information in LTM reduces or removes the need to rely on WM for its storage, implying that people "offload" information in conditions containing LTM pairs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371913PMC
http://dx.doi.org/10.3758/s13414-022-02625-wDOI Listing

Publication Analysis

Top Keywords

ltm pairs
12
working memory
8
pairs included
8
ltm
7
memory
6
pairs
5
chunking boosting
4
boosting offloading?
4
offloading? serial
4
position
4

Similar Publications

Ethnopharmacological Relevance: Huanglian Ganjiang decoction (HGD), which is composed of Chinese medicines with cold, warm, and astringent properties, has demonstrated significant therapeutic efficacy in ulcerative colitis (UC). However, the underlying mechanisms remain unclear, highlighting the need for a multi-faceted investigation. Disassembling prescriptions is a crucial approach for investigating compatibility mechanisms.

View Article and Find Full Text PDF

Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. Artificial optoelectronic synapses, which can convert optical signals into electrical signals, play a crucial role in neuromorphic computing. In this study, we successfully fabricated a flexible artificial optoelectronic synapse device based on the ZnO/PDMS structure by utilizing the magnetron sputtering technique to deposit the ZnO film on a flexible substrate.

View Article and Find Full Text PDF

How long-term memory facilitates working memory: Evidence from flexible responses and neural oscillations.

J Exp Psychol Learn Mem Cogn

December 2024

Department of Psychology, Center for Brain and Mental Well-Being, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-sen University.

Historically, working memory (WM) and long-term memory (LTM) were viewed as distinct systems, operating independently. Recent research, however, has uncovered intricate interactions between these memory systems, revealing that LTM information can enhance the WM performance. This study investigates the mechanisms underlying such facilitation through a delayed color-recall task, adapted from Brady et al.

View Article and Find Full Text PDF

Individual differences in working memory capacity (WMC) are correlated with long-term memory (LTM) differences. Whether this is because high-WMC individuals encode more effectively, resulting in better LTM storage, or because they better retrieve information from LTM is debated. In two experiments, we used Bayesian-hierarchical multinomial modeling to correlate participant-level storage and retrieval processes from LTM recall to WMC abilities estimated from operation and symmetry complex span tasks.

View Article and Find Full Text PDF

Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe/PO Heterostructured Memristor.

J Phys Chem Lett

August 2024

Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.

Developing brain-inspired neuromorphic paradigms is imperative to breaking through the von Neumann bottleneck. The emulation of synaptic functionality has motivated the exploration of optoelectronic memristive devices as high-performance artificial synapses, yet the realization of such a modulatory terminal capable of full light-modulation, especially near-infrared stimuli, remains a challenge. Here, a fully light-modulated synaptic memristor is reported on a P-MoSe/PO heterostructure formed by a facile one-step selenization process.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!