Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Ila R. Fiete, Max Tegmark | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the grid cells of the mammalian cortex, […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the mammalian cortex, analog error correction codes […]
Kavli Affiliate: Michael Nitabach | Authors: Evripidis Gkanias, Li Yan McCurdy, Michael N Nitabach and Barbara Webb | Summary: Insects adapt their response to stimuli, such as odours, according to their pairing with positive or negative reinforcements, such as sugar or shock. Recent electrophysiological and imaging findings in Drosophila melanogaster allow detailed examination of the […]
Kavli Affiliate: Loren Frank | Authors: Abhilasha Joshi, Eric L. Denovellis, Abhijith Mankili, Yagiz Meneksedag, Thomas Davidson, Anna K Gillespie, Jennifer Ann Guidera, Demetris Roumis and Loren M. Frank | Summary: The hippocampus is a vertebrate brain structure that expresses spatial representations1 and is critical for navigation2,3. Navigation in turn intricately depends on locomotion; however, […]
Kavli Affiliate: Sridevi Sarma | Authors: Adam G Rouse, Marc H Schieber and Sridevi V Sarma | Summary: Reaching movements are known to have large condition-independent neural activity and cyclic neural dynamics. A new precision center-out task was performed by rhesus macaques to test the hypothesis that cyclic, condition-independent neural activity in the primary motor […]
Kavli Affiliate: Henry Abarbanel | Authors: Randall E Clark, Lawson Fuller, Jason A Platt and Henry Abarbanel | Summary: Using methods from nonlinear dynamics and interpolation techniques from applied mathematics, we show how to use data alone to construct discrete time dynamical rules that forecast observed neuron properties. These data may come from from simulations […]
Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, David Hsu, Wee Sun Lee, , | Summary: An inverse reinforcement learning (IRL) agent learns to act intelligently by observing expert demonstrations and learning the expert’s underlying reward function. Although learning the reward functions from demonstrations has achieved great success in various tasks, several other […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jinyang Guo, Chao Li, , | Summary: FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and development cost of algorithm design. However, accelerator-specific development requires certain technical expertise and significant effort […]