Learning recurrent dynamics in spiking networks

Learning recurrent dynamics in spiking networks

Spiking activity of neurons engaged in learning and performing a task show complex spatiotemporal dynamics. While the output of recurrent network models can learn to perform various tasks, the possible range of recurrent dynamics that emerge after learning remains unknown. Here we show that modifyin...

Bibliográfalaš dieđut
Váldodahkkit:	Christopher M Kim, Carson C Chow
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	eLife Sciences Publications Ltd 2018-09-01
Ráidu:	eLife
Fáttát:	spiking network recurrent dynamics learning universal dynamics
Liŋkkat:	https://elifesciences.org/articles/37124

Geahča maid

A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks
Dahkki: Udaya B. Rongala, et al.
Almmustuhtton: (2021-05-01)

Temporal Spiking Recurrent Neural Network for Action Recognition
Dahkki: Wei Wang, et al.
Almmustuhtton: (2019-01-01)

Modified Elman Spike Neural Network for Identification and Control of Dynamic System
Dahkki: Nadia Adnan Shiltagh Al-Jamali, et al.
Almmustuhtton: (2020-01-01)

Identifying steady state in the network dynamics of spiking neural networks
Dahkki: Vivek Kurien George, et al.
Almmustuhtton: (2023-03-01)

Volatile Memory Motifs: Minimal Spiking Neural Networks
Dahkki: Fabio Schittler Neves, et al.
Almmustuhtton: (2023-01-01)

Spike-based computation using classical recurrent neural networks
Dahkki: Florent De Geeter, et al.
Almmustuhtton: (2024-01-01)

DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
Dahkki: Donghyung Yoo, et al.
Almmustuhtton: (2022-01-01)

Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks
Dahkki: Daniel ede Santos-Sierra, et al.
Almmustuhtton: (2015-11-01)

Temporally Dynamic Spiking Transformer Network for Speech Enhancement
Dahkki: Manal Abdullah Alohali, et al.
Almmustuhtton: (2024-01-01)

Stochastic Variational Learning in Recurrent Spiking Networks
Dahkki: Danilo eJimenez Rezende, et al.
Almmustuhtton: (2014-04-01)

Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
Dahkki: Georg Borner, et al.
Almmustuhtton: (2023-01-01)

How adaptation shapes spike rate oscillations in recurrent neuronal networks
Dahkki: Moritz eAugustin, et al.
Almmustuhtton: (2013-02-01)

Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks
Dahkki: Balázs Mészáros, et al.
Almmustuhtton: (2024-12-01)

An All-MRR-Based Photonic Spiking Neural Network for Spike Sequence Learning
Dahkki: Yanan Han, et al.
Almmustuhtton: (2022-02-01)

Reconfigurable Computation in Spiking Neural Networks
Dahkki: Fabio Schittler Neves, et al.
Almmustuhtton: (2020-01-01)

Spiking Neuron Mathematical Models: A Compact Overview
Dahkki: Luigi Fortuna, et al.
Almmustuhtton: (2023-01-01)

Implementation of Kalman Filtering with Spiking Neural Networks
Dahkki: Alejandro Juárez-Lora, et al.
Almmustuhtton: (2022-11-01)

Spiking representation learning for associative memories
Dahkki: Naresh Ravichandran, et al.
Almmustuhtton: (2024-09-01)

Recurrent coupling improves discrimination of temporal spike patterns
Dahkki: Chun-Wei eYuan, et al.
Almmustuhtton: (2012-05-01)

DYNAMIC HANDWRITTEN SIGNATURE IDENTIFICATION USING SPIKING NEURAL NETWORK
Dahkki: Vladislav Kutsman, et al.
Almmustuhtton: (2021-09-01)

Low‐Voltage Electrochemical LixWO3 Synapses with Temporal Dynamics for Spiking Neural Networks
Dahkki: Qingzhou Wan, et al.
Almmustuhtton: (2021-09-01)

Nonlinear transient amplification in recurrent neural networks with short-term plasticity
Dahkki: Yue Kris Wu, et al.
Almmustuhtton: (2021-12-01)

A Supervised Learning Algorithm for Spiking Neurons Using Spike Train Kernel Based on a Unit of Pair-Spike
Dahkki: Guojun Chen, et al.
Almmustuhtton: (2020-01-01)

Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns
Dahkki: Oleg Maslennikov, et al.
Almmustuhtton: (2024-02-01)

Feature Representations for Neuromorphic Audio Spike Streams
Dahkki: Jithendar Anumula, et al.
Almmustuhtton: (2018-02-01)

Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics
Dahkki: Chenglong Zou, et al.
Almmustuhtton: (2023-12-01)

Convolutional and Spiking Neural Network Models for Crop Yield Forecasting
Dahkki: Karuna G., et al.
Almmustuhtton: (2021-01-01)

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network
Dahkki: Maryam Doborjeh, et al.
Almmustuhtton: (2021-07-01)

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
Dahkki: Philippe Vincent-Lamarre, et al.
Almmustuhtton: (2020-09-01)

Composing recurrent spiking neural networks using locally-recurrent motifs and risk-mitigating architectural optimization
Dahkki: Wenrui Zhang, et al.
Almmustuhtton: (2024-06-01)

Reducing the spike rate of deep spiking neural networks based on time-encoding
Dahkki: Riccardo Fontanini, et al.
Almmustuhtton: (2024-01-01)

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
Dahkki: Geunbo Yang, et al.
Almmustuhtton: (2023-08-01)

Burst dynamics of a spiking neural network caused by the activity of the extracellular matrix of the brain
Dahkki: Stasenko, Sergey Victorovich
Almmustuhtton: (2024-06-01)

Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity
Dahkki: Jongseok Lee, et al.
Almmustuhtton: (2023-01-01)

A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System
Dahkki: Ahana Gangopadhyay, et al.
Almmustuhtton: (2020-05-01)

An all integer-based spiking neural network with dynamic threshold adaptation
Dahkki: Chenglong Zou, et al.
Almmustuhtton: (2024-12-01)

Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
Dahkki: Xianghong Lin, et al.
Almmustuhtton: (2023-01-01)

Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity
Dahkki: Benjamin eDummer, et al.
Almmustuhtton: (2014-09-01)

STDP in recurrent neuronal networks
Dahkki: Matthieu Gilson, et al.
Almmustuhtton: (2010-09-01)

Learning fast while changing slow in spiking neural networks
Dahkki: Cristiano Capone, et al.
Almmustuhtton: (2024-01-01)