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Liquid Time-constant Recurrent Neural Networks as Universal Approximators


Nov 01, 2018
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

* This short report introduces the universal approximation capabilities of liquid time-constant (LTC) recurrent neural networks, and provides theoretical bounds for its dynamics 

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Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks


Sep 11, 2018
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

* arXiv admin note: substantial text overlap with arXiv:1803.08554 

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Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks


Sep 11, 2018
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus


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Neuronal Circuit Policies


Mar 22, 2018
Mathias Lechner, Ramin M. Hasani, Radu Grosu


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Worm-level Control through Search-based Reinforcement Learning


Nov 09, 2017
Mathias Lechner, Radu Grosu, Ramin M. Hasani


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Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording


Nov 04, 2017
Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani


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Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans


Mar 25, 2017
Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu


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SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans


Mar 25, 2017
Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu


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An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings


Mar 18, 2017
Ramin M. Hasani, Guodong Wang, Radu Grosu


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Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits


Feb 24, 2017
Ramin M. Hasani, Giorgio Ferrari, Hideaki Yamamoto, Sho Kono, Koji Ishihara, Soya Fujimori, Takashi Tanii, Enrico Prati


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