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 ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
The outstanding results achieved by large language models (LLMs) 1,2 and by their even more recent multi-modal variants 3, rely on attention-based neural architectures with several analogies to the ...
Recent technological advances have enabled measurement of the synaptic wiring diagram, or ‘connectome’, of large neural circuits or entire brains. However, the extent to which such data constrain ...