메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Optimal synaptic learning in non-linear associative memory

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE STORAGE; BAYESIAN NETWORKS; BRAIN; HOPFIELD NEURAL NETWORKS; NEURONS;

EID: 79959456580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596604     Document Type: Conference Paper
Times cited : (9)

References (65)
  • 2
    • 0001453729 scopus 로고
    • Cell assemblies in the cerebral cortex
    • Theoretical approaches to complex systems., R. Heim and G. Palm, Eds. Berlin Heidelberg New York: Springer-Verlag
    • V. Braitenberg, "Cell assemblies in the cerebral cortex." in Lecture notes in biomathematics (21). Theoretical approaches to complex systems., R. Heim and G. Palm, Eds. Berlin Heidelberg New York: Springer-Verlag, 1978, pp. 171-188.
    • (1978) Lecture Notes in Biomathematics , Issue.21 , pp. 171-188
    • Braitenberg, V.1
  • 4
    • 0000513436 scopus 로고
    • Cell assemblies as a guideline for brain research
    • -, "Cell assemblies as a guideline for brain research." Concepts in Neuroscience, vol. 1, pp. 133-148, 1990.
    • (1990) Concepts in Neuroscience , vol.1 , pp. 133-148
    • Palm, G.1
  • 5
    • 26444492711 scopus 로고    scopus 로고
    • A model of cortical associative memory based on a horizontal network of connected columns
    • E. Fransen and A. Lansner, "A model of cortical associative memory based on a horizontal network of connected columns." Network: Computation in Neural Systems, vol. 9, pp. 235-264, 1998.
    • (1998) Network: Computation in Neural Systems , vol.9 , pp. 235-264
    • Fransen, E.1    Lansner, A.2
  • 6
    • 61649093252 scopus 로고    scopus 로고
    • Associative memory models: From the cell-assembly theory to biophysically detailed cortex simulations
    • A. Lansner, "Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations." Trends in Neuro-sciences, vol. 32(3), pp. 178-186, 2009.
    • (2009) Trends in Neuro-sciences , vol.32 , Issue.3 , pp. 178-186
    • Lansner, A.1
  • 8
    • 0030513563 scopus 로고    scopus 로고
    • A theory of hippocampal function in memory
    • E. Rolls, "A theory of hippocampal function in memory." Hippocam- pus, vol. 6, pp. 601-620, 1996.
    • (1996) Hippocam- Pus , vol.6 , pp. 601-620
    • Rolls, E.1
  • 10
    • 0014526073 scopus 로고
    • A theory of cerebellar cortex
    • D. Marr, "A theory of cerebellar cortex." Journal of Physiology, vol. 202(2), pp. 437-470, 1969.
    • (1969) Journal of Physiology , vol.202 , Issue.2 , pp. 437-470
    • Marr, D.1
  • 11
    • 49649148257 scopus 로고
    • A theory of cerebellar function
    • J. Albus, "A theory of cerebellar function." Mathematical Biosciences, vol. 10, pp. 25-61, 1971.
    • (1971) Mathematical Biosciences , vol.10 , pp. 25-61
    • Albus, J.1
  • 13
    • 0036832159 scopus 로고    scopus 로고
    • Olfactory network dynamics and the coding of multidimensional signals
    • G. Laurent, "Olfactory network dynamics and the coding of multidimensional signals." Nature Reviews Neuroscience, vol. 3, pp. 884-895, 2002.
    • (2002) Nature Reviews Neuroscience , vol.3 , pp. 884-895
    • Laurent, G.1
  • 15
    • 0024861151 scopus 로고
    • Information storage and effective data retrieval in sparse matrices
    • H. Bentz, M. Hagstroem, and G. Palm, "Information storage and effective data retrieval in sparse matrices." Neural Networks, vol. 2, pp. 289-293, 1989.
    • (1989) Neural Networks , vol.2 , pp. 289-293
    • Bentz, H.1    Hagstroem, M.2    Palm, G.3
  • 16
    • 2342593581 scopus 로고
    • The modified Kanerva model for automatic speech recognition
    • R. Prager and F. Fallside, "The modified Kanerva model for automatic speech recognition." Computer Speech and Language, vol. 3, pp. 61-81, 1989.
    • (1989) Computer Speech and Language , vol.3 , pp. 61-81
    • Prager, R.1    Fallside, F.2
  • 18
    • 23844451054 scopus 로고    scopus 로고
    • Neural associative memory for brain modeling and information retrieval
    • A. Knoblauch, "Neural associative memory for brain modeling and information retrieval." Information Processing Letters, vol. 95, pp. 537-544, 2005.
    • (2005) Information Processing Letters , vol.95 , pp. 537-544
    • Knoblauch, A.1
  • 19
    • 33745714009 scopus 로고    scopus 로고
    • An RCE-based associative memory with application to human face recognition
    • X. Mu, M. Artiklar, P. Watta, and M. Hassoun, "An RCE-based associative memory with application to human face recognition." Neural Processing Letters, vol. 23, pp. 257-271, 2006.
    • (2006) Neural Processing Letters , vol.23 , pp. 257-271
    • Mu, X.1    Artiklar, M.2    Watta, P.3    Hassoun, M.4
  • 20
    • 32544433164 scopus 로고    scopus 로고
    • Cell assemblies for diagnostic problem-solving
    • A. Wichert, "Cell assemblies for diagnostic problem-solving." Neuro-computing, vol. 69, pp. 810-824, 2006.
    • (2006) Neuro-computing , vol.69 , pp. 810-824
    • Wichert, A.1
  • 21
    • 33646509186 scopus 로고    scopus 로고
    • Storing and restoring visual input with collaborative rank coding and associative memory
    • M. Rehn and F. Sommer, "Storing and restoring visual input with collaborative rank coding and associative memory." Neurocomputing, vol. 69, pp. 1219-1223, 2006.
    • (2006) Neurocomputing , vol.69 , pp. 1219-1223
    • Rehn, M.1    Sommer, F.2
  • 22
    • 0002460179 scopus 로고
    • Memory capacities of local rules for synaptic modification. A comparative review
    • G. Palm, "Memory capacities of local rules for synaptic modification. A comparative review." Concepts in Neuroscience, vol. 2, pp. 97-128, 1991.
    • (1991) Concepts in Neuroscience , vol.2 , pp. 97-128
    • Palm, G.1
  • 23
    • 34347131550 scopus 로고
    • Die Lernmatrix
    • K. Steinbuch, "Die Lernmatrix." Kybernetik, vol. 1, pp. 36-45, 1961.
    • (1961) Kybernetik , vol.1 , pp. 36-45
    • Steinbuch, K.1
  • 24
    • 0014666936 scopus 로고
    • Non-holographic associative memory
    • D. Willshaw, O. Buneman, and H. Longuet-Higgins, "Non-holographic associative memory." Nature, vol. 222, pp. 960-962, 1969.
    • (1969) Nature , vol.222 , pp. 960-962
    • Willshaw, D.1    Buneman, O.2    Longuet-Higgins, H.3
  • 25
    • 0019190366 scopus 로고
    • On associative memories
    • G. Palm, "On associative memories." Biological Cybernetics, vol. 36, pp. 19-31, 1980.
    • (1980) Biological Cybernetics , vol.36 , pp. 19-31
    • Palm, G.1
  • 26
    • 0347119409 scopus 로고
    • Associative memory: On the (puzzling) sparse coding limit
    • J.-P. Nadal, "Associative memory: on the (puzzling) sparse coding limit." J.Phys. A: Math. Gen., vol. 24, pp. 1093-1101, 1991.
    • (1991) J.Phys. A: Math. Gen. , vol.24 , pp. 1093-1101
    • Nadal, J.-P.1
  • 27
    • 0032122781 scopus 로고    scopus 로고
    • Bayesian retrieval in associative memories with storage errors
    • F. Sommer and P. Dayan, "Bayesian retrieval in associative memories with storage errors." IEEE Transactions on Neural Networks, vol. 9, pp. 705-713, 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 705-713
    • Sommer, F.1    Dayan, P.2
  • 28
    • 0033106142 scopus 로고    scopus 로고
    • Improved bidirectional retrieval of sparse patterns stored by Hebbian learning
    • F. Sommer and G. Palm, "Improved bidirectional retrieval of sparse patterns stored by Hebbian learning." Neural Networks, vol. 12, pp. 281-297, 1999.
    • (1999) Neural Networks , vol.12 , pp. 281-297
    • Sommer, F.1    Palm, G.2
  • 29
    • 77649298475 scopus 로고    scopus 로고
    • Memory capacities for synaptic and structural plasticity
    • A. Knoblauch, G. Palm, and F. Sommer, "Memory capacities for synaptic and structural plasticity." Neural Computation, vol. 22(2), pp. 289-341, 2010.
    • (2010) Neural Computation , vol.22 , Issue.2 , pp. 289-341
    • Knoblauch, A.1    Palm, G.2    Sommer, F.3
  • 30
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities." Proceedings of the National Academy of Science, USA, vol. 79, pp. 2554-2558, 1982.
    • (1982) Proceedings of the National Academy of Science, USA , vol.79 , pp. 2554-2558
    • Hopfield, J.1
  • 31
    • 0011833609 scopus 로고
    • On the asymptotic information storage capacity of neural networks
    • ser. NATO ASI Series F41, R. Eckmiller and C. von der Malsburg, Eds. Berlin, Heidelberg, New York: Springer Verlag
    • G. Palm, "On the asymptotic information storage capacity of neural networks." in Neural Computers, ser. NATO ASI Series F41, R. Eckmiller and C. von der Malsburg, Eds. Berlin, Heidelberg, New York: Springer Verlag, 1988, pp. 271-280.
    • (1988) Neural Computers , pp. 271-280
    • Palm, G.1
  • 32
    • 84956108236 scopus 로고
    • The enhanced storage capacity in neural networks with low activity level
    • M. Tsodyks and M. Feigel'man, "The enhanced storage capacity in neural networks with low activity level." Europhysics Letters, vol. 6, pp. 101-105, 1988.
    • (1988) Europhysics Letters , vol.6 , pp. 101-105
    • Tsodyks, M.1    Feigel'Man, M.2
  • 33
    • 0025985528 scopus 로고
    • Optimising synaptic learning rules in linear associative memory
    • P. Dayan and D. Willshaw, "Optimising synaptic learning rules in linear associative memory." Biological Cybernetics, vol. 65, pp. 253-265, 1991.
    • (1991) Biological Cybernetics , vol.65 , pp. 253-265
    • Dayan, P.1    Willshaw, D.2
  • 34
    • 61449109115 scopus 로고
    • The variance of covariance rules for associative matrix memories and reinforcement learning
    • P. Dayan and T. Sejnowski, "The variance of covariance rules for associative matrix memories and reinforcement learning." Neural Computation, vol. 5, pp. 205-209, 1993.
    • (1993) Neural Computation , vol.5 , pp. 205-209
    • Dayan, P.1    Sejnowski, T.2
  • 35
    • 0002293651 scopus 로고    scopus 로고
    • Associative data storage and retrieval in neural nets
    • E. Domany, J. van Hemmen, and K. Schulten, Eds. New York: Springer-Verlag
    • G. Palm and F. Sommer, "Associative data storage and retrieval in neural nets." in Models of Neural Networks III, E. Domany, J. van Hemmen, and K. Schulten, Eds. New York: Springer-Verlag, 1996, pp. 79-118.
    • (1996) Models of Neural Networks III , pp. 79-118
    • Palm, G.1    Sommer, F.2
  • 36
    • 0035315796 scopus 로고    scopus 로고
    • Effective neuronal learning with ineffective hebbian learning rules
    • G. Chechik, I. Meilijson, and E. Ruppin, "Effective neuronal learning with ineffective hebbian learning rules." Neural Computation, vol. 13, pp. 817-840, 2001.
    • (2001) Neural Computation , vol.13 , pp. 817-840
    • Chechik, G.1    Meilijson, I.2    Ruppin, E.3
  • 37
    • 38649129810 scopus 로고    scopus 로고
    • Inhomogeneities in heteroassociative memories with linear learning rules
    • D. Sterratt and D. Willshaw, "Inhomogeneities in heteroassociative memories with linear learning rules." Neural Computation, vol. 20, pp. 311-344, 2008.
    • (2008) Neural Computation , vol.20 , pp. 311-344
    • Sterratt, D.1    Willshaw, D.2
  • 39
    • 0002037186 scopus 로고
    • A one-layer feedback artificial neural network with a Bayesian learning rule
    • -, "A one-layer feedback artificial neural network with a Bayesian learning rule." International Journal of Neural Systems, vol. 1(1), pp. 77-87, 1989.
    • (1989) International Journal of Neural Systems , vol.1 , Issue.1 , pp. 77-87
    • Lansner, A.1    Ekeberg, O.2
  • 40
    • 0024363909 scopus 로고
    • Bayesian neural networks
    • I. Kononenko, "Bayesian neural networks." Biological Cybernetics, vol. 61(5), pp. 361-370, 1989.
    • (1989) Biological Cybernetics , vol.61 , Issue.5 , pp. 361-370
    • Kononenko, I.1
  • 41
    • 79958252396 scopus 로고
    • On Bayesian neural networks
    • -, "On Bayesian neural networks." Informatica (Slovenia), vol. 18(2), pp. 183-195, 1994.
    • (1994) Informatica (Slovenia) , vol.18 , Issue.2 , pp. 183-195
    • Kononenko, I.1
  • 42
    • 0030135411 scopus 로고    scopus 로고
    • A higher order Bayesian neural network with spiking units
    • A. Lansner and A. Holst, "A higher order Bayesian neural network with spiking units." International Journal of Neural Systems, vol. 7(2), pp. 115-128, 1996.
    • (1996) International Journal of Neural Systems , vol.7 , Issue.2 , pp. 115-128
    • Lansner, A.1    Holst, A.2
  • 43
    • 0033912896 scopus 로고    scopus 로고
    • A palimpsest memory based on an incremental Bayesian learning rule
    • A. Sandberg, A. Lansner, K. Petersson, and O. Ekeberg, "A palimpsest memory based on an incremental Bayesian learning rule." Neurocomputing, vol. 32-33, pp. 987-994, 2000.
    • (2000) Neurocomputing , vol.32-33 , pp. 987-994
    • Sandberg, A.1    Lansner, A.2    Petersson, K.3    Ekeberg, O.4
  • 44
    • 79958263491 scopus 로고    scopus 로고
    • Neural associative networks with optimal bayesian learning
    • Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, May
    • A. Knoblauch, "Neural associative networks with optimal bayesian learning." Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, HRI-EU Report 09-02, May 2009.
    • (2009) HRI-EU Report 09-02
    • Knoblauch, A.1
  • 45
    • 33749519839 scopus 로고    scopus 로고
    • Sparse representation in the human medial temporal lobe
    • S. Waydo, A. Kraskov, R. Quiroga, I. Fried, and C. Koch, "Sparse representation in the human medial temporal lobe." Journal of Neuroscience, vol. 26(40), pp. 10 232-10 234, 2006.
    • (2006) Journal of Neuroscience , vol.26 , Issue.40 , pp. 10232-10234
    • Waydo, S.1    Kraskov, A.2    Quiroga, R.3    Fried, I.4    Koch, C.5
  • 46
    • 79958245024 scopus 로고    scopus 로고
    • Comparison of the lansner/ekeberg rule to optimal bayesian learning in neural associative memory
    • Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, April
    • A. Knoblauch, "Comparison of the lansner/ekeberg rule to optimal bayesian learning in neural associative memory." Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, HRI-EU Report 10-06, April 2010.
    • (2010) HRI-EU Report 10-06
    • Knoblauch, A.1
  • 48
    • 79958252769 scopus 로고    scopus 로고
    • On the computational benefits of inhibitory neural associative networks
    • Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, May
    • -, "On the computational benefits of inhibitory neural associative networks." Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, HRI-EU Report 07-05, May 2007.
    • (2007) HRI-EU Report 07-05
    • Knoblauch, A.1
  • 49
    • 0034760661 scopus 로고    scopus 로고
    • Pattern separation and synchronization in spiking associative memories and visual areas
    • A. Knoblauch and G. Palm, "Pattern separation and synchronization in spiking associative memories and visual areas." Neural Networks, vol. 14, pp. 763-780, 2001.
    • (2001) Neural Networks , vol.14 , pp. 763-780
    • Knoblauch, A.1    Palm, G.2
  • 50
    • 0017745276 scopus 로고
    • Storing covariance with nonlinearly interacting neurons
    • T. Sejnowski, "Storing covariance with nonlinearly interacting neurons." Journal of Mathematical Biology, vol. 4, pp. 303-321, 1977.
    • (1977) Journal of Mathematical Biology , vol.4 , pp. 303-321
    • Sejnowski, T.1
  • 51
    • 0017780904 scopus 로고
    • Statistical constraints on synaptic plasticity
    • -, "Statistical constraints on synaptic plasticity." Journal of Theoretical Biology, vol. 69, pp. 385-389, 1977.
    • (1977) Journal of Theoretical Biology , vol.69 , pp. 385-389
    • Sejnowski, T.1
  • 52
    • 0001032906 scopus 로고
    • Optimal plasticity in matrix memories: What goes up must come down
    • D. Willshaw and P. Dayan, "Optimal plasticity in matrix memories: what goes up must come down." Neural Computation, vol. 2, pp. 85-93, 1990.
    • (1990) Neural Computation , vol.2 , pp. 85-93
    • Willshaw, D.1    Dayan, P.2
  • 53
    • 0042325229 scopus 로고
    • Information capacity in recurrent McCulloch-Pitts networks with sparsely coded memory states
    • G. Palm and F. Sommer, "Information capacity in recurrent McCulloch-Pitts networks with sparsely coded memory states." Network, vol. 3, pp. 177-186, 1992.
    • (1992) Network , vol.3 , pp. 177-186
    • Palm, G.1    Sommer, F.2
  • 54
    • 0000193495 scopus 로고
    • Improving recall from an associative memory
    • B. Graham and D. Willshaw, "Improving recall from an associative memory." Biological Cybernetics, vol. 72, pp. 337-346, 1995.
    • (1995) Biological Cybernetics , vol.72 , pp. 337-346
    • Graham, B.1    Willshaw, D.2
  • 57
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • P. Domingos and M. Pazzani, "On the optimality of the simple Bayesian classifier under zero-one loss." Machine Learning, vol. 29, pp. 103-130, 1997.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 58
    • 79958246336 scopus 로고
    • Local synaptic rules with maximal information storage capacity
    • ser. Springer Series in Synergetics, H. Haken, Ed. Berlin, Heidelberg, New York: Springer Verlag
    • G. Palm, "Local synaptic rules with maximal information storage capacity." in Neural and synergetic computers, ser. Springer Series in Synergetics, H. Haken, Ed. Berlin, Heidelberg, New York: Springer Verlag, 1988, vol. 42, pp. 100-110.
    • (1988) Neural and Synergetic Computers , vol.42 , pp. 100-110
    • Palm, G.1
  • 59
    • 0001670336 scopus 로고
    • Willshaw model: Associative memory with sparse coding and low firing rates
    • D. Golomb, N. Rubin, and H. Sompolinsky, "Willshaw model: Associative memory with sparse coding and low firing rates." Phys. Rev. A, vol. 41, pp. 1843-1854, 1990.
    • (1990) Phys. Rev. A , vol.41 , pp. 1843-1854
    • Golomb, D.1    Rubin, N.2    Sompolinsky, H.3
  • 60
    • 69249100460 scopus 로고    scopus 로고
    • Experience-dependent structural synaptic plasticity in the mammalian brain
    • A. Holtmaat and K. Svoboda, "Experience-dependent structural synaptic plasticity in the mammalian brain." Nature Reviews Neuroscience, vol. 10, pp. 647-658, 2009.
    • (2009) Nature Reviews Neuroscience , vol.10 , pp. 647-658
    • Holtmaat, A.1    Svoboda, K.2
  • 62
    • 55149098386 scopus 로고    scopus 로고
    • On compressing the memory structures of binary neural associative networks
    • Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, April
    • -, "On compressing the memory structures of binary neural associative networks," Honda Research Institute Europe GmbH, D-63073 Offenbach/Main, Germany, HRI-EU Report 06-02, April 2006.
    • (2006) HRI-EU Report 06-02
    • Knoblauch, A.1
  • 63
    • 55149088346 scopus 로고    scopus 로고
    • Neural associative memory and the Willshaw-Palm probability distribution
    • -, "Neural associative memory and the Willshaw-Palm probability distribution." SIAM Journal on Applied Mathematics, vol. 69(1), pp. 169-196, 2008.
    • (2008) SIAM Journal on Applied Mathematics , vol.69 , Issue.1 , pp. 169-196
    • Knoblauch, A.1
  • 64
    • 77950345048 scopus 로고    scopus 로고
    • The role of structural plasticity and synaptic consolidation for memory and amnesia in a model of cortico-hippocampal interplay
    • J. Mayor, N. Ruh, and K. Plunkett, Eds. Singapore: World Scientific Publishing
    • -, "The role of structural plasticity and synaptic consolidation for memory and amnesia in a model of cortico-hippocampal interplay." in Connectionist Models of Behavior and Cognition II: Proceedings of the 11th Neural Computation and Psychology Workshop, J. Mayor, N. Ruh, and K. Plunkett, Eds. Singapore: World Scientific Publishing, 2009, pp. 79-90.
    • (2009) Connectionist Models of Behavior and Cognition II: Proceedings of the 11th Neural Computation and Psychology Workshop , pp. 79-90
    • Knoblauch, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.