no code implementations • 3 Oct 2023 • Zhao Kaiya, Michelangelo Naim, Jovana Kondic, Manuel Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, Andrew Ahn
Meanwhile, our techniques enabled Lyfe Agents to operate at a computational cost 10-100 times lower than existing alternatives.
no code implementations • 12 Aug 2023 • Gal Haspel, Edward S Boyden, Jeffrey Brown, George Church, Netta Cohen, Christopher Fang-Yen, Steven Flavell, Miriam B Goodman, Anne C Hart, Oliver Hobert, Eduardo J Izquierdo, Konstantinos Kagias, Shawn Lockery, Yangning Lu, Adam Marblestone, Jordan Matelsky, Hanspeter Pfister, Horacio G Rotstein, Monika Scholz, Eli Shlizerman, Quilee Simeon, Michael A Skuhersky, Vineet Tiruvadi, Vivek Venkatachalam, Guangyu Robert Yang, Eviatar Yemini, Manuel Zimmer, Konrad P Kording
More fundamentally, reconstructing or modeling a system is an important milestone in understanding it, and so, simulating an entire nervous system is in itself one of the goals, indeed dreams, of systems neuroscience.
no code implementations • 7 Jun 2023 • Jaesung Yoo, Fernanda De La Torre, Guangyu Robert Yang
In such dual-policy agents, a model-free policy and a distilled policy are used for model-free actions and planned actions, respectively.
1 code implementation • NeurIPS 2023 • Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang
In particular, we find that neural responses are currently best predicted by models trained to predict the future state of their environment in the latent space of pretrained foundation models optimized for dynamic scenes in a self-supervised manner.
no code implementations • NeurIPS 2021 • Danil Tyulmankov, Ching Fang, Annapurna Vadaparty, Guangyu Robert Yang
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 recall.
no code implementations • NeurIPS 2021 • Danil Tyulmankov, Ching Fang, Annapurna Vadaparty, Guangyu Robert Yang
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 recall.
1 code implementation • 1 Jun 2020 • Guangyu Robert Yang, Xiao-Jing Wang
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience.
no code implementations • 25 Sep 2019 • Sun Minni, Li Ji-An, Theodore Moskovitz, Grace Lindsay, Kenneth Miller, Mario Dipoppa, Guangyu Robert Yang
We found that neurons that project to higher-order areas will have greater stimulus selectivity, regardless of whether they are excitatory or not.
2 code implementations • ECCV 2018 • Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo
COG is much simpler than the general problem of video analysis, yet it addresses many of the problems relating to visual and logical reasoning and memory -- problems that remain challenging for modern deep learning architectures.