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 ...

Neural activity during the performance of a stereotyped behavioral task is often described as low-dimensional, occupying only a limited region in the space of all firing-rate patterns. This region has ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...

Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons. If ...

Ever since OpenAI launched its ChatGPT model about four years ago, the technology lexicon has witnessed a sea change. Gone ...