A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
Authors
Keywords
-
Journal
NEURAL PROCESSING LETTERS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-07-23
DOI
10.1007/s11063-021-10562-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding
- (2020) Alexander Sboev et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks
- (2019) Balint Petro et al. IEEE Transactions on Neural Networks and Learning Systems
- Spatial-Pooling Memristor Crossbar Converting Sensory Information to Sparse Distributed Representation of Cortical Neurons
- (2018) Son Ngoc Truong et al. IEEE TRANSACTIONS ON NANOTECHNOLOGY
- STDP-based spiking deep convolutional neural networks for object recognition
- (2018) Saeed Reza Kheradpisheh et al. NEURAL NETWORKS
- Deep neural networks with weighted spikes
- (2018) Jaehyun Kim et al. NEUROCOMPUTING
- A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors
- (2018) Lukas Paulun et al. Frontiers in Computational Neuroscience
- Neural Coding With Bursts—Current State and Future Perspectives
- (2018) Fleur Zeldenrust et al. Frontiers in Computational Neuroscience
- A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
- (2018) Zhenshan Bing et al. Frontiers in Neurorobotics
- Deep learning in spiking neural networks
- (2018) Amirhossein Tavanaei et al. NEURAL NETWORKS
- BP-STDP: Approximating backpropagation using spike timing dependent plasticity
- (2018) Amirhossein Tavanaei et al. NEUROCOMPUTING
- Spike-time encoding as a data compression technique for pattern recognition of temporal data
- (2017) Neelava Sengupta et al. INFORMATION SCIENCES
- Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity
- (2017) Daqi Liu et al. NEUROCOMPUTING
- Unsupervised real-time anomaly detection for streaming data
- (2017) Subutai Ahmad et al. NEUROCOMPUTING
- Neural Code—Neural Self-information Theory on How Cell-Assembly Code Rises from Spike Time and Neuronal Variability
- (2017) Meng Li et al. Frontiers in Cellular Neuroscience
- An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data
- (2017) Evangelos Stromatias et al. Frontiers in Neuroscience
- Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
- (2017) Bodo Rueckauer et al. Frontiers in Neuroscience
- Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System
- (2017) Moritz B. Milde et al. Frontiers in Neurorobotics
- Efficient codes and balanced networks
- (2016) Sophie Denève et al. NATURE NEUROSCIENCE
- Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
- (2016) Nikola Kasabov et al. NEURAL NETWORKS
- Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex
- (2016) Jeff Hawkins et al. Frontiers in Neural Circuits
- Unsupervised learning of digit recognition using spike-timing-dependent plasticity
- (2015) Peter U. Diehl et al. Frontiers in Computational Neuroscience
- Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades
- (2015) Garrick Orchard et al. Frontiers in Neuroscience
- Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details
- (2015) Teresa Serrano-Gotarredona et al. Frontiers in Neuroscience
- A brain-inspired spiking neural network model with temporal encoding and learning
- (2014) Qiang Yu et al. NEUROCOMPUTING
- Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets
- (2013) J. A. Perez-Carrasco et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons
- (2013) Qiang Yu et al. IEEE Transactions on Neural Networks and Learning Systems
- Comparison of latency and rate coding for the direction of whisker deflection in the subcortical somatosensory pathway
- (2012) Riccardo Storchi et al. JOURNAL OF NEUROPHYSIOLOGY
- A Large-Scale Model of the Functioning Brain
- (2012) C. Eliasmith et al. SCIENCE
- Spike Latency Coding in Biologically Inspired Microelectronic Nose
- (2011) Hung Tat Chen et al. IEEE Transactions on Biomedical Circuits and Systems
- Information about Complex Fingertip Parameters in Individual Human Tactile Afferent Neurons
- (2009) H. P. Saal et al. JOURNAL OF NEUROSCIENCE
- Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns
- (2009) Christoph Kayser et al. NEURON
- Place Cells, Grid Cells, and the Brain's Spatial Representation System
- (2008) Edvard I. Moser et al. Annual Review of Neuroscience
- Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex
- (2008) Marcelo A. Montemurro et al. CURRENT BIOLOGY
- A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
- (2008) Patrick Lichtsteiner et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Fast and adaptive network of spiking neurons for multi-view visual pattern recognition
- (2008) Simei Gomes Wysoski et al. NEUROCOMPUTING
- Rapid Neural Coding in the Retina with Relative Spike Latencies
- (2008) T. Gollisch et al. SCIENCE
- Compact hardware liquid state machines on FPGA for real-time speech recognition
- (2007) Benjamin Schrauwen et al. NEURAL NETWORKS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started