An Online Structural Plasticity Rule for Generating Better Reservoirs.

about

Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model.SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition

P2860

Q52649870-FD696040-AC3A-40CC-8396-5442BA8EC34C Q58712234-B5EB9969-53C9-4281-9E92-02414CEBDE8E

P2860

An Online Structural Plasticity Rule for Generating Better Reservoirs.

Item

http://www.wikidata.org/entity/Q50488185

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年学术文章

@wuu

2016年学术文章

@zh

2016年学术文章

@zh-cn

2016年学术文章

@zh-hans

2016年学术文章

@zh-my

2016年学术文章

@zh-sg

2016年學術文章

@yue

2016年學術文章

@zh-hant

name

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@en

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@nl

type

Item

label

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@en

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@nl

prefLabel

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@en

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@nl

P1476

An Online Structural Plasticity Rule for Generating Better Reservoirs.

@en

P2093

Arindam Basu

http://www.w3.org/2001/XMLSchema#string

Subhrajit Roy

http://www.w3.org/2001/XMLSchema#string

P2860

Real-time computing without stable states: a new framework for neural computation based on perturbations

Impact of active dendrites and structural plasticity on the memory capacity of neural tissue.

The chronotron: a neuron that learns to fire temporally precise spike patterns.

All-or-none potentiation at CA3-CA1 synapses.

Asynchronous decoding of dexterous finger movements using M1 neurons

Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

Supervised learning in multilayer spiking neural networks.

A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing.

Modeling the interplay between structural plasticity and spike-timing-dependent plasticity.

Approximate, computationally efficient online learning in Bayesian spiking neurons.

P304

1-28

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1162/NECO_A_00886

http://www.w3.org/2001/XMLSchema#string

P577

2016-09-14T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27626967

http://www.w3.org/2001/XMLSchema#string

P818

1604.05459

http://www.w3.org/2001/XMLSchema#string

An Online Structural Plasticity Rule for Generating Better Reservoirs.

about

P2860

P2860

An Online Structural Plasticity Rule for Generating Better Reservoirs.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P577

P698

P818

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P577

P698

P818