(Q47420671)

16 January 2018

title

Learning may need only a few bits of synaptic precision. (English)

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16 January 2018

author

Carlo Baldassi

1

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16 January 2018

Carlo Lucibello

object named as

Carlo Lucibello

3

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Riccardo Zecchina

object named as

Riccardo Zecchina

5

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author name string

Federica Gerace

2

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16 January 2018

Luca Saglietti

4

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16 January 2018

language of work or name

English

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publication date

27 May 2016

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16 January 2018

published in

Physical Review E

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16 January 2018

volume

93

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16 January 2018

issue

5

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16 January 2018

page(s)

052313

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16 January 2018

Graded bidirectional synaptic plasticity is composed of switch-like unitary events

cites work

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https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Learning by message passing in networks of discrete synapses.

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Efficient supervised learning in networks with binary synapses

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Origin of the computational hardness for learning with binary synapses.

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Learning from examples in large neural networks.

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Gibbs states and the set of solutions of random constraint satisfaction problems.

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms

21 January 2018

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.93.052313

10.1103/PHYSREVE.93.052313

21 January 2018

Identifiers

DOI

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16 January 2018

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16 January 2018