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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Christopher M Kim, Carson C Chow
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	eLife Sciences Publications Ltd 2018-09-01
Σειρά:	eLife
Θέματα:	spiking network recurrent dynamics learning universal dynamics
Διαθέσιμο Online:	https://elifesciences.org/articles/37124

Παρόμοια τεκμήρια

A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks
ανά: Udaya B. Rongala, κ.ά.
Έκδοση: (2021-05-01)

Temporal Spiking Recurrent Neural Network for Action Recognition
ανά: Wei Wang, κ.ά.
Έκδοση: (2019-01-01)

Modified Elman Spike Neural Network for Identification and Control of Dynamic System
ανά: Nadia Adnan Shiltagh Al-Jamali, κ.ά.
Έκδοση: (2020-01-01)

Identifying steady state in the network dynamics of spiking neural networks
ανά: Vivek Kurien George, κ.ά.
Έκδοση: (2023-03-01)

Volatile Memory Motifs: Minimal Spiking Neural Networks
ανά: Fabio Schittler Neves, κ.ά.
Έκδοση: (2023-01-01)

Spike-based computation using classical recurrent neural networks
ανά: Florent De Geeter, κ.ά.
Έκδοση: (2024-01-01)

DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
ανά: Donghyung Yoo, κ.ά.
Έκδοση: (2022-01-01)

Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks
ανά: Daniel ede Santos-Sierra, κ.ά.
Έκδοση: (2015-11-01)

Temporally Dynamic Spiking Transformer Network for Speech Enhancement
ανά: Manal Abdullah Alohali, κ.ά.
Έκδοση: (2024-01-01)

Stochastic Variational Learning in Recurrent Spiking Networks
ανά: Danilo eJimenez Rezende, κ.ά.
Έκδοση: (2014-04-01)

Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
ανά: Georg Borner, κ.ά.
Έκδοση: (2023-01-01)

How adaptation shapes spike rate oscillations in recurrent neuronal networks
ανά: Moritz eAugustin, κ.ά.
Έκδοση: (2013-02-01)

Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks
ανά: Balázs Mészáros, κ.ά.
Έκδοση: (2024-12-01)

An All-MRR-Based Photonic Spiking Neural Network for Spike Sequence Learning
ανά: Yanan Han, κ.ά.
Έκδοση: (2022-02-01)

Reconfigurable Computation in Spiking Neural Networks
ανά: Fabio Schittler Neves, κ.ά.
Έκδοση: (2020-01-01)

Spiking Neuron Mathematical Models: A Compact Overview
ανά: Luigi Fortuna, κ.ά.
Έκδοση: (2023-01-01)

Implementation of Kalman Filtering with Spiking Neural Networks
ανά: Alejandro Juárez-Lora, κ.ά.
Έκδοση: (2022-11-01)

Spiking representation learning for associative memories
ανά: Naresh Ravichandran, κ.ά.
Έκδοση: (2024-09-01)

Recurrent coupling improves discrimination of temporal spike patterns
ανά: Chun-Wei eYuan, κ.ά.
Έκδοση: (2012-05-01)

DYNAMIC HANDWRITTEN SIGNATURE IDENTIFICATION USING SPIKING NEURAL NETWORK
ανά: Vladislav Kutsman, κ.ά.
Έκδοση: (2021-09-01)

Low‐Voltage Electrochemical LixWO3 Synapses with Temporal Dynamics for Spiking Neural Networks
ανά: Qingzhou Wan, κ.ά.
Έκδοση: (2021-09-01)

Nonlinear transient amplification in recurrent neural networks with short-term plasticity
ανά: Yue Kris Wu, κ.ά.
Έκδοση: (2021-12-01)

A Supervised Learning Algorithm for Spiking Neurons Using Spike Train Kernel Based on a Unit of Pair-Spike
ανά: Guojun Chen, κ.ά.
Έκδοση: (2020-01-01)

Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns
ανά: Oleg Maslennikov, κ.ά.
Έκδοση: (2024-02-01)

Feature Representations for Neuromorphic Audio Spike Streams
ανά: Jithendar Anumula, κ.ά.
Έκδοση: (2018-02-01)

Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics
ανά: Chenglong Zou, κ.ά.
Έκδοση: (2023-12-01)

Convolutional and Spiking Neural Network Models for Crop Yield Forecasting
ανά: Karuna G., κ.ά.
Έκδοση: (2021-01-01)

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network
ανά: Maryam Doborjeh, κ.ά.
Έκδοση: (2021-07-01)

Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
ανά: Philippe Vincent-Lamarre, κ.ά.
Έκδοση: (2020-09-01)

Composing recurrent spiking neural networks using locally-recurrent motifs and risk-mitigating architectural optimization
ανά: Wenrui Zhang, κ.ά.
Έκδοση: (2024-06-01)

Reducing the spike rate of deep spiking neural networks based on time-encoding
ανά: Riccardo Fontanini, κ.ά.
Έκδοση: (2024-01-01)

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
ανά: Geunbo Yang, κ.ά.
Έκδοση: (2023-08-01)

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

Semi-Supervised Learning for Spiking Neural Networks Based on Spike-Timing-Dependent Plasticity
ανά: Jongseok Lee, κ.ά.
Έκδοση: (2023-01-01)

A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System
ανά: Ahana Gangopadhyay, κ.ά.
Έκδοση: (2020-05-01)

An all integer-based spiking neural network with dynamic threshold adaptation
ανά: Chenglong Zou, κ.ά.
Έκδοση: (2024-12-01)

Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks
ανά: Xianghong Lin, κ.ά.
Έκδοση: (2023-01-01)

Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity
ανά: Benjamin eDummer, κ.ά.
Έκδοση: (2014-09-01)

STDP in recurrent neuronal networks
ανά: Matthieu Gilson, κ.ά.
Έκδοση: (2010-09-01)

Learning fast while changing slow in spiking neural networks
ανά: Cristiano Capone, κ.ά.
Έκδοση: (2024-01-01)