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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...
What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...
This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...
In 2017, the emergence of the Transformer model pressed the "accelerator button" in the field of artificial intelligence. This model did not appear out of nowhere; it was an inevitable product of deep ...
Language generators such as ChatGPT are gaining attention for their ability to reshape how we use search engines and change the way we interact with artificial intelligence. However, these algorithms ...
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