Literature DB >> 28530716

Neuromorphic computation: Sparse codes from memristor grids.

Bruno A Olshausen1, Christopher J Rozell2.   

Abstract

Year:  2017        PMID： 28530716     DOI： 10.1038/nnano.2017.112

Source DB:  PubMed          Journal:  Nat Nanotechnol        ISSN： 1748-3387            Impact factor:   39.213


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  5 in total

1.  Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Authors:  M Prezioso; F Merrikh-Bayat; B D Hoskins; G C Adam; K K Likharev; D B Strukov
Journal:  Nature       Date:  2015-05-07       Impact factor: 49.962

2.  Sparse coding via thresholding and local competition in neural circuits.

Authors:  Christopher J Rozell; Don H Johnson; Richard G Baraniuk; Bruno A Olshausen
Journal:  Neural Comput       Date:  2008-10       Impact factor: 2.026

3.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images.

Authors:  B A Olshausen; D J Field
Journal:  Nature       Date:  1996-06-13       Impact factor: 49.962

4.  Single units and sensation: a neuron doctrine for perceptual psychology?

Authors:  H B Barlow
Journal:  Perception       Date:  1972       Impact factor: 1.490

5.  A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields.

Authors:  Joel Zylberberg; Jason Timothy Murphy; Michael Robert DeWeese
Journal:  PLoS Comput Biol       Date:  2011-10-27       Impact factor: 4.475
  5 in total
  2 in total

1.  Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System.

Authors:  Kaitlin L Fair; Daniel R Mendat; Andreas G Andreou; Christopher J Rozell; Justin Romberg; David V Anderson
Journal:  Front Neurosci       Date:  2019-07-23       Impact factor: 4.677

Review 2.  Nanosystems, Edge Computing, and the Next Generation Computing Systems.

Authors:  Ali Passian; Neena Imam
Journal:  Sensors (Basel)       Date:  2019-09-19       Impact factor: 3.576
  2 in total

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