Articles

Extended liquid state machines for speech recognition

in Neuromorphic Engineering

• Lucas Deckers
• Ing Jyh Tsang
• Werner Van Leekwijck
• Steven Latré

Feedback stabilization of probabilistic finite state machines based on deep Q-network

• Hui Tian
• Xin Su
• Yanfang Hou

Reinforcement Learning With Low-Complexity Liquid State Machines

in Neuromorphic Engineering

• Wachirawit Ponghiran
• Gopalakrishnan Srinivasan
• Kaushik Roy

Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition

in Neuromorphic Engineering

• Nicholas Soures
• Dhireesha Kudithipudi

Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines

in Neuromorphic Engineering

• Parami Wijesinghe
• Gopalakrishnan Srinivasan
• Priyadarshini Panda
• Kaushik Roy

Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements

• Dominik Krenzer
• Martin Bogdan

Compliant robotic behaviors for satellite servicing

in Space Robotics

• Joseph Cressman
• Rahul Pokharna
• Wyatt Newman

Architectural modelling for robotics: RoboArch and the CorteX example

in Field Robotics

• Will Barnett
• Ana Cavalcanti
• Alvaro Miyazawa

Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks

in Neuromorphic Engineering

• Alberto Patiño-Saucedo
• Horacio Rostro-González
• Teresa Serrano-Gotarredona
• Bernabé Linares-Barranco

An information theoretic score for learning hierarchical concepts

• Omid Madani

SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition

in Neuromorphic Engineering

• Gopalakrishnan Srinivasan
• Priyadarshini Panda
• Kaushik Roy

On the right track: decoding self-regulated learning in young students’ log data with the digital train track task

in Assessment, Testing and Applied Measurement

• Bernadette van Berk
• Ulf Kroehne
• Charlotte Dignath