Cargando…

Spiking Autoencoders With Temporal Coding

Spiking neural networks with temporal coding schemes process information based on the relative timing of neuronal spikes. In supervised learning tasks, temporal coding allows learning through backpropagation with exact derivatives, and achieves accuracies on par with conventional artificial neural n...

Descripción completa

Detalles Bibliográficos
Autores principales:	Comşa, Iulia-Maria, Versari, Luca, Fischbacher, Thomas, Alakuijala, Jyrki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414972/ https://www.ncbi.nlm.nih.gov/pubmed/34483829 http://dx.doi.org/10.3389/fnins.2021.712667

Ejemplares similares

The Fast Spiking Subpopulation of Striatal Neurons Coding for Temporal Cognition of Movements
por: Shen, Bo, et al.
Publicado: (2017)

First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures
por: Liu, Siying, et al.
Publicado: (2023)

Training Spiking Neural Networks for Reinforcement Learning Tasks With Temporal Coding Method
por: Wu, Guanlin, et al.
Publicado: (2022)

Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity
por: Humble, James, et al.
Publicado: (2012)

Heart Rate Variability in Head-Up Tilt Tests in Adolescent Postural Tachycardia Syndrome Patients
por: Orjatsalo, Maija, et al.
Publicado: (2020)

Coding of multisensory temporal patterns in human superior temporal sulcus
por: Noesselt, Tömme, et al.
Publicado: (2012)

Spiking network simulation code for petascale computers
por: Kunkel, Susanne, et al.
Publicado: (2014)

Stacked Autoencoders for the P300 Component Detection
por: Vařeka, Lukáš, et al.
Publicado: (2017)

Temporal Modulation of Spike-Timing-Dependent Plasticity
por: Froemke, Robert C., et al.
Publicado: (2010)

Spike Rate and Spike Timing Contributions to Coding Taste Quality Information in Rat Periphery
por: Lawhern, Vernon, et al.
Publicado: (2011)

Interactions between the spike code and the epigenetic code during information processing in the brain
por: Smythies, John, et al.
Publicado: (2013)

Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks
por: Kugele, Alexander, et al.
Publicado: (2020)

A memristive spiking neuron with firing rate coding
por: Ignatov, Marina, et al.
Publicado: (2015)

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE
por: Quaglio, Pietro, et al.
Publicado: (2017)

An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing
por: Soman, Karthik, et al.
Publicado: (2018)

Inferring the basis of binaural detection with a modified autoencoder
por: Smith, Samuel S., et al.
Publicado: (2023)

A study of autoencoders as a feature extraction technique for spike sorting
por: Ardelean, Eugen-Richard, et al.
Publicado: (2023)

Recurrent Coupling Improves Discrimination of Temporal Spike Patterns
por: Yuan, Chun-Wei, et al.
Publicado: (2012)

Detecting Multineuronal Temporal Patterns in Parallel Spike Trains
por: Gansel, Kai S., et al.
Publicado: (2012)

VTSNN: a virtual temporal spiking neural network
por: Qiu, Xue-Rui, et al.
Publicado: (2023)

The contribution of temporal coding to odor coding and odor perception in humans
por: Perl, Ofer, et al.
Publicado: (2020)

Bursts Generate a Non-Reducible Spike-Pattern Code
por: Eyherabide, Hugo G., et al.
Publicado: (2009)

STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
por: Yu, Chengting, et al.
Publicado: (2022)

Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder
por: Choi, Hongyoon, et al.
Publicado: (2018)

Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns
por: Van Bussel, Frank, et al.
Publicado: (2011)

Heterogeneous recurrent spiking neural network for spatio-temporal classification
por: Chakraborty, Biswadeep, et al.
Publicado: (2023)

Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators Using Time Compression Supporting Multiple Spike Codes
por: Xu, Changqing, et al.
Publicado: (2020)

Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons
por: Burbank, Kendra S.
Publicado: (2015)

Spike Dynamic and Epigenetic Malfunctions in Epilepsy: A Tale of Two Codes
por: Smythies, John, et al.
Publicado: (2013)

Memristive LIF Spiking Neuron Model and Its Application in Morse Code
por: Fang, Xiaoyan, et al.
Publicado: (2022)

Analyzing time-to-first-spike coding schemes: A theoretical approach
por: Bonilla, Lina, et al.
Publicado: (2022)

Spike frequency adaptation supports network computations on temporally dispersed information
por: Salaj, Darjan, et al.
Publicado: (2021)

Identification of Pre-Spike Network in Patients with Mesial Temporal Lobe Epilepsy
por: Faizo, Nahla L., et al.
Publicado: (2014)

Synthesis of neural networks for spatio-temporal spike pattern recognition and processing
por: Tapson, Jonathan C., et al.
Publicado: (2013)

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
por: Wu, Yujie, et al.
Publicado: (2018)

Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization
por: Zirkle, Joel, et al.
Publicado: (2020)

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
por: Vincent-Lamarre, Philippe, et al.
Publicado: (2020)

Efficient human activity recognition with spatio-temporal spiking neural networks
por: Li, Yuhang, et al.
Publicado: (2023)

Temporal Coding at the Immature Depolarizing GABAergic Synapse
por: Valeeva, Guzel, et al.
Publicado: (2010)

A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents
por: Ouyang, Qiangqiang, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_hefiosc9ub5ld9grckhpoh0mgi