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20162026
most citedUnsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout

89 citations · 180 across the 28 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

q-bio.NC2021

Edelman's Steps Toward a Conscious Artifact

Jeffrey L. Krichmar

In 2006, during a meeting of a working group of scientists in La Jolla, California at The Neurosciences Institute (NSI), Gerald Edelman described a roadmap towards the creation of…

cs.NE2021★ 1 cited

Dynamic Reliability Management in Neuromorphic Computing

Shihao Song, Jui Hanamshet, Adarsha Balaji +5

Neuromorphic computing systems uses non-volatile memory (NVM) to implement high-density and low-energy synaptic storage. Elevated voltages and currents needed to operate NVMs cause…

cs.NE2021

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks

Adarsha Balaji, Shihao Song, Twisha Titirsha +6

Recently, both industry and academia have proposed many different neuromorphic architectures to execute applications that are designed with Spiking Neural Network (SNN). Consequent…

cs.NE2021

Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware

Twisha Titirsha, Shihao Song, Anup Das +4

Neuromorphic computing systems are embracing memristors to implement high density and low power synaptic storage as crossbar arrays in hardware. These systems are energy efficient…

cs.NE2021

Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment

Xinyun Zou, Eric O. Scott, Alexander B. Johnson +4

Animals ranging from rats to humans can demonstrate cognitive map capabilities. We evolved weights in a biologically plausible recurrent neural network (RNN) using an evolutionary…

cs.LG2021★ 5 cited

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

Jinwei Xing, Takashi Nagata, Kexin Chen +3

Despite the recent success of deep reinforcement learning (RL), domain adaptation remains an open problem. Although the generalization ability of RL agents is critical for the real…