A Long Short-Term Memory for AI Applications in Spike-based...

Main
A Long Short-Term Memory for AI...

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware

Arjun Rao, Philipp Plank, Andreas Wild, Wolfgang Maass

0 / 0

How much do you like this book?

What’s the quality of the file?

Download the book for quality assessment

What’s the quality of the downloaded files?

Language:

english

File:

PDF, 8.50 MB

IPFS:

,

english0

Read Online

Conversion to is in progress

Conversion to is failed

You may be interested in

Scientific American — (2005-05) Neuromorphic Chips

Eugene M. Izhikevich — Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)

Topic Editors Julie Wall and Cornelius Glackin — Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding

unknown — IEEE Signal Processing Magazine

Wulfram Gerstner; Werner M. Kistler; Richard Naud; Liam Paninski — Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

Hesham Hamed Amin AbuElhassan — Spiking Neural Networks. Learning, Applications and Analysis [diss.]

Nuttapod Nuntalid — Evolving Probabilistic Spiking Neural Networks

Gerstner W., Kistler W.M. — Spiking Neuron Models

Sabina Spiga (editor), Abu Sebastian (editor), Damien Querlioz (editor), Bipin Rajendran (editor) — Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials)

Eugene M. Izhikevich — Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)

MIT Press, Wolfgang Maass, Christopher M. Bishop — Pulsed Neural Networks

Elishai Ezra Tsur — Neuromorphic Engineering: The Scientist’s, Algorithms Designer’s and Computer Architect’s Perspectives on Brain-Inspired Computing

Wulfram Gerstner, J. Leo van Hemmen (auth.), Professor Eytan Domany, Professor Dr. J. Leo van Hemmen, Professor Klaus Schulten (eds.) — Models of Neural Networks: Temporal Aspects of Coding and Information Processing in Biological Systems

Shih-Chii Liu, Tobi Delbruck, Giacomo Indiveri, Adrian Whatley, Rodney Douglas — Event-Based Neuromorphic Systems

Wulfram Gerstner, Werner M. Kistler — Spiking Neuron Models

Wulfram Gerstner, Werner M. Kistler — Spiking neuron models: single neurons, populations, plasticity

Mark Humphries; — The Spike

Mark Humphries; — The Spike

Robert B. Northrop — Introduction to Dynamic Modeling of Neuro-Sensory Systems (Biomedical Engineering Series (Crc Press).)

Alex James & Bhaskar Choubey — Selected Topics in Intelligent Chips with Emerging Devices, Circuits and Systems

Hojjat Adeli, Samanwoy Ghosh-Dastidar — Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology

Michael A. Schwemmer, Timothy J. Lewis (auth.), Nathan W. Schultheiss, Astrid A. Prinz, Robert J. Butera (eds.) — Phase Response Curves in Neuroscience: Theory, Experiment, and Analysis

Michael Nielsen — Neural networks and deep learning

Paul R. Prucnal, Bhavin J. Shastri — Neuromorphic photonics

Doug Alexander — Neural Networks: History and Applications

Dhanasekar S. — Neuromorphic Computing Systems for Industry 4.0

Alain Cappy — Neuro-inspired Information Processing

Michele Giugliano, Mario Negrello, Daniele Linaro — Computational Modelling of the Brain: Modelling Approaches to Cells, Circuits and Networks

Jordi Suñé (editor) — Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Jordi Suñé — Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Qing Wan, Yi Shi — Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception and Robotics

Ranu Jung — Biohybrid Systems: Nerves, Interfaces, and Machines

Claire Gerrard, John McCall, George M. Coghill, Christopher Macleod (auth.), Alessandro E. P. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm (eds.) — Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

Amir Zjajo, Rene van Leuken — Real-Time Multi-Chip Neural Network for Cognitive Systems

Alex James, Bhaskar Choubey — Selected Topics in Intelligent Chips with Emerging Devices, Circuits and Systems

Kohei Nakajima, Ingo Fischer — Reservoir Computing: Theory, Physical Implementations, and Applications

Most frequently terms