The memory systems of the human brain and generative artificial intelligence
ET Rolls - Heliyon, 2024 - cell.com
Abstract Generative Artificial Intelligence foundation models (for example Generative Pre-
trained Transformer–GPT–models) can generate the next token given a sequence of tokens …
trained Transformer–GPT–models) can generate the next token given a sequence of tokens …
RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments
Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly
required to study theoretical models of the brain's role in spatial navigation. This process can …
required to study theoretical models of the brain's role in spatial navigation. This process can …
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
This paper presents a novel approach leveraging Spiking Neural Networks (SNNs) to
construct a Variational Quantized Autoencoder (VQ-VAE) with a temporal codebook inspired …
construct a Variational Quantized Autoencoder (VQ-VAE) with a temporal codebook inspired …
Symmetry and Generalization in Local Learning of Predictive Representations
It is an increasingly accepted view that the representations which the brain generates are
not merely descriptive of the current state of the world; rather, representations serve a …
not merely descriptive of the current state of the world; rather, representations serve a …