401 citations · 404 across the 2 of their papers we have counts for
3 papers
Biological learning in key-value memory networks
Danil Tyulmankov, Ching Fang, Annapurna Vadaparty +1
In neuroscience, classical Hopfield networks are the standard biologically plausible model of long-term memory, relying on Hebbian plasticity for storage and attractor dynamics for…
Artificial neural networks for neuroscientists: A primer
Guangyu Robert Yang, Xiao-Jing Wang
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience. Besides offering powerful techniques for data analys…
A Dataset and Architecture for Visual Reasoning with a Working Memory
Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang +2
A vexing problem in artificial intelligence is reasoning about events that occur in complex, changing visual stimuli such as in video analysis or game play. Inspired by a rich trad…