401 citations · 411 across the 5 of their papers we have counts for
6 papers
The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions
Gal Haspel, Ben Baker, Isabel Beets +34
Just like electrical engineers understand how microprocessors execute programs in terms of how transistor currents are affected by their inputs, neuroscientists want to understand…
Dual policy as self-model for planning
Jaesung Yoo, Fernanda de la Torre, Guangyu Robert Yang
Planning is a data efficient decision-making strategy where an agent selects candidate actions by exploring possible future states. To simulate future states when there is a high-d…
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri +1
Humans and animals have a rich and flexible understanding of the physical world, which enables them to infer the underlying dynamical trajectories of objects and events, plausible…
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…