Lmst

Orb2, the fly homolog of CPEB, forms #prion-like oligomers involved in maintenance of #LongTermMemory. This study identifies #Hsp40 family chaperone Mrj as a regulator of #Orb2 oligomerization and its association with translating ribosomes #PLOSBiology https://plos.io/4aRba2j

Who knew bite-sized learning could be so filling? 😉

https://learnlever.com/maximize-learning-potential-with-microlearning/

#Microlearning #LongTermMemory

In forming long-term memories, vascular cells are crucial
https://www.sciencedaily.com/releases/2023/10/231002124239.htm

Neuronal activity drives IGF2 expression from pericytes to form long-term memory
https://www.cell.com/neuron/fulltext/S0896-6273(23)00664-5

#LTM #memory #IGF# #MolecularBiology #LongTermMemory #neuroscience

[thread] LLM, memorization, long-term memory, forgetting

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
https://arxiv.org/abs/2308.15022
Discussion: https://news.ycombinator.com/item?id=37363362

* recursively gen. summaries to enhance long-term memory
* LLM memorize small dialogue contexts
* then recursively produce new memories using previous memory + following contexts
* LLM can then generate highly consistent response w. help of latest memory

#LLM #LargeLanguageModels #LongTermMemory

Title: Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Figure 1: A long-term conversation example from the Multi-Session Dataset (Xu et al., 2022a). In this dialogue, when the user refers back to previous subjects, even the strong pre-trained language model, i.e. Chat-GPT, generates an inconsistent response.

Source: https://arxiv.org/abs/2308.15022

Very excited that my first paper with Alessandra Souza and Klaus Oberauer is now published in @PNASNews

We investigated the mechanisms underlying repetition learning as a model system for the interaction between #workingMemory and #longTermMemory. By using a Bayesian hierarchical mixture modeling approach to model learning curves on the individual level, we reveal misconceptions in current theories which resulted from aggregating data over individuals.

https://www.pnas.org/doi/full/10.1073/pnas.2218042120