Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

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Qualitative-Modeling-Based Silicon Neurons and Their Networks Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.

P2860

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P2860

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

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http://www.wikidata.org/entity/Q36158706

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

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2015年論文

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name

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@ast

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@en

type

Item

label

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@ast

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@en

prefLabel

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@ast

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@en

P1476

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

@en

P2093

Federico Corradi

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

Massimiliano Giulioni

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

Paolo del Giudice

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

Vittorio Dante

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

P2860

Neural networks and physical systems with emergent collective computational abilities

Synthesizing cognition in neuromorphic electronic systems.

A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.

Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses.

Attractors and noise: twin drivers of decisions and multistability.

Neuromorphic sensory systems.

STDP and STDP variations with memristors for spiking neuromorphic learning systems.

Synaptic electronics: materials, devices and applications.

A learning-enabled neuron array IC based upon transistor channel models of biological phenomena.

A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.

P2888

srep14730

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14730

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scholarly article

P356

10.1038/SREP14730

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English

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

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2015-10-14T00:00:00Z

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278733696

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26463272

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1506.05427

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4604465

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Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

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P2860

P2860

Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P478

P577

P5875

P698

P818

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P478

P577

P5875

P698

P818

P932