메뉴 건너뛰기




Volumn 10, Issue 4, 1999, Pages 285-301

Pre-synaptic lateral inhibition provides a better architecture for self-organizing neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN; LEARNING; NERVE CELL NETWORK; PHYSIOLOGY; SYNAPTOSOME;

EID: 0042263581     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X_10_4_301     Document Type: Article
Times cited : (13)

References (38)
  • 2
    • 0001471775 scopus 로고
    • Unsupervised learning
    • Barlow H B 1989 Unsupervised learning Neural Comput. 1 295-311
    • (1989) Neural Comput. , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 3
    • 0030197052 scopus 로고    scopus 로고
    • Unsupervised neural network learning procedures for feature extraction and classification
    • Becker S and Plumbley M 1996 Unsupervised neural network learning procedures for feature extraction and classification Int. J. Appl. Intell. 6 185-203
    • (1996) Int. J. Appl. Intell. , vol.6 , pp. 185-203
    • Becker, S.1    Plumbley, M.2
  • 6
    • 0005819124 scopus 로고    scopus 로고
    • Modelling multiple cause structure using rectification constraints
    • Charles D and Fyfe C 1998 Modelling multiple cause structure using rectification constraints Network 9 167-82
    • (1998) Network , vol.9 , pp. 167-182
    • Charles, D.1    Fyfe, C.2
  • 7
    • 0024123145 scopus 로고
    • Adding a conscience to competitive learning
    • New York: IEEE
    • Desieno D 1988 Adding a conscience to competitive learning Int. Conf. on Neural Networks (New York: IEEE) pp 117-24
    • (1988) Int. Conf. on Neural Networks , pp. 117-124
    • Desieno, D.1
  • 8
    • 0024936898 scopus 로고
    • Adaptive network for optimal linear feature extraction
    • New York: IEEE
    • Földiák P 1989 Adaptive network for optimal linear feature extraction Int. Joint Conf. on Neural Networks (New York: IEEE) pp 401-5
    • (1989) Int. Joint Conf. on Neural Networks , pp. 401-405
    • Földiák, P.1
  • 9
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-Hebbian learning
    • _1990 Forming sparse representations by local anti-Hebbian learning Biol. Cybernet. 64 165-70
    • (1990) Biol. Cybernet. , vol.64 , pp. 165-170
  • 11
    • 4644343524 scopus 로고    scopus 로고
    • A scale-invariant feature map
    • Fyfe C 1996 A scale-invariant feature map Network 7 269-75
    • (1996) Network , vol.7 , pp. 269-275
    • Fyfe, C.1
  • 12
    • 0031207174 scopus 로고    scopus 로고
    • A neural net for PCA and beyond
    • _1997 A neural net for PCA and beyond Neural Process. Lett. 6 33-41
    • (1997) Neural Process. Lett. , vol.6 , pp. 33-41
  • 13
    • 0000435426 scopus 로고
    • Finding compact and sparse-distributed representations of visual images
    • Fyfe C and Baddeley R 1995 Finding compact and sparse-distributed representations of visual images Network 6 333-44
    • (1995) Network , vol.6 , pp. 333-344
    • Fyfe, C.1    Baddeley, R.2
  • 14
    • 0000852458 scopus 로고    scopus 로고
    • Development of low entropy coding in a recurrent network
    • Harpur G and Prager R 1996 Development of low entropy coding in a recurrent network Network 7 277-84
    • (1996) Network , vol.7 , pp. 277-284
    • Harpur, G.1    Prager, R.2
  • 15
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton G E, Dayan P, Frey B J and Neal R M 1995 The wake-sleep algorithm for unsupervised neural networks Science 268 1158-61
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 16
    • 0031590130 scopus 로고    scopus 로고
    • Generative models for discovering sparse distributed representations
    • Hinton G E and Ghahramani Z 1997 Generative models for discovering sparse distributed representations Phil. Trans. R. Soc. B 352 1177-90
    • (1997) Phil. Trans. R. Soc. B , vol.352 , pp. 1177-1190
    • Hinton, G.E.1    Ghahramani, Z.2
  • 17
    • 0026436313 scopus 로고
    • Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions
    • Intrator N and Cooper L N 1992 Objective function formulation of the BCM theory of visual cortical plasticity: statistical connections, stability conditions Neural Networks 53-17
    • (1992) Neural Networks , pp. 53-117
    • Intrator, N.1    Cooper, L.N.2
  • 20
    • 0042858029 scopus 로고
    • Computational maps in the brain
    • ed J A Anderson et al (Cambridge, MA: MIT Press) ch 22
    • Knudsen E I, du Lac S and Esterly S D 1990 Computational maps in the brain Neurocomputing 2 ed J A Anderson et al (Cambridge, MA: MIT Press) ch 22
    • (1990) Neurocomputing , vol.2
    • Knudsen, E.I.1    Du Lac, S.2    Esterly, S.D.3
  • 22
    • 0029041060 scopus 로고
    • Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
    • Marshall J A 1995 Adaptive perceptual pattern recognition by self-organizing neural networks: context, uncertainty, multiplicity, and scale Neural Networks 8 335-62
    • (1995) Neural Networks , vol.8 , pp. 335-362
    • Marshall, J.A.1
  • 23
    • 26444442529 scopus 로고    scopus 로고
    • Generalization and exclusive allocation of credit in unsupervised category learning
    • Marshall J A and Gupta V S 1998 Generalization and exclusive allocation of credit in unsupervised category learning Network 9 279-302
    • (1998) Network , vol.9 , pp. 279-302
    • Marshall, J.A.1    Gupta, V.S.2
  • 27
    • 0009362053 scopus 로고
    • Do cortical areas emerge from a protocortex?
    • ed M H Johnson (Oxford: Blackwell)
    • O'Leary DDM 1993 Do cortical areas emerge from a protocortex? Brain Development and Cognition: a Reader ed M H Johnson (Oxford: Blackwell) pp 323-37
    • (1993) Brain Development and Cognition: A Reader , pp. 323-337
    • O'Leary, D.D.M.1
  • 28
    • 26444447071 scopus 로고    scopus 로고
    • Natural image statistics and efficient coding
    • Olshausen B A and Field D J 1996 Natural image statistics and efficient coding Network 7 333-9
    • (1996) Network , vol.7 , pp. 333-339
    • Olshausen, B.A.1    Field, D.J.2
  • 30
    • 0002656190 scopus 로고
    • Feature discovery by competitive learning
    • Rumelhart D E and Zipser D 1985 Feature discovery by competitive learning Cogn. Sci. 9 75-112
    • (1985) Cogn. Sci. , vol.9 , pp. 75-112
    • Rumelhart, D.E.1    Zipser, D.2
  • 32
    • 34249766055 scopus 로고
    • Cooperative self-organization of afferent and lateral connections in cortical maps
    • Sirosh J and Miikkulainen R 1994 Cooperative self-organization of afferent and lateral connections in cortical maps Biol. Cybernet. 71 66-78
    • (1994) Biol. Cybernet. , vol.71 , pp. 66-78
    • Sirosh, J.1    Miikkulainen, R.2
  • 33
    • 0041721671 scopus 로고
    • Cortical circuitry underlying inhibitory processes in cat area 17
    • ed D Rose and V G Dobson (Chichester: Wiley) ch 54
    • Somogyi P and Martin K A C 1985 Cortical circuitry underlying inhibitory processes in cat area 17 Models of the Visual Cortex ed D Rose and V G Dobson (Chichester: Wiley) ch 54
    • (1985) Models of the Visual Cortex
    • Somogyi, P.1    Martin, K.A.C.2
  • 34
    • 0041855985 scopus 로고
    • Visual plasticity in the auditory pathway: Visual inputs induced into auditory thalamus and cortex illustrate principles of adaptive organisation in sensory systems
    • ed M A Arbib and S Amari (Berlin: Springer)
    • Sur M 1989 Visual plasticity in the auditory pathway: visual inputs induced into auditory thalamus and cortex illustrate principles of adaptive organisation in sensory systems Dynamic Interactions in Neural Networks: Models and Data ed M A Arbib and S Amari (Berlin: Springer) pp 35-51
    • (1989) Dynamic Interactions in Neural Networks: Models and Data , pp. 35-51
    • Sur, M.1
  • 35
    • 0000558113 scopus 로고    scopus 로고
    • The development of topography in the visual cortex: A review of models
    • Swindale N V 1996 The development of topography in the visual cortex: a review of models Network 7 161-247
    • (1996) Network , vol.7 , pp. 161-247
    • Swindale, N.V.1
  • 36
    • 0141660479 scopus 로고
    • Localized versus distributed representations
    • ed M A Arbib (Cambridge, MA: MIT Press)
    • Thorpe S J 1995 Localized versus distributed representations The Handbook of Brain Theory and Neural Networks ed M A Arbib (Cambridge, MA: MIT Press) pp 549-52
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 549-552
    • Thorpe, S.J.1
  • 38
    • 0000306457 scopus 로고
    • A winner-take-all mechanism based on presynaptic inhibition feedback
    • Yuille A L and Greynacz N M 1989 A winner-take-all mechanism based on presynaptic inhibition feedback Neural Comput. 1 334-47
    • (1989) Neural Comput. , vol.1 , pp. 334-347
    • Yuille, A.L.1    Greynacz, N.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.