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Volumn 4, Issue 1, 2014, Pages

Statistical physics of neural systems with nonadditive dendritic coupling

Author keywords

Biological physics; Complex systems; Statistical physics

Indexed keywords

ASSOCIATIVE PROCESSING; DYNAMICS; LARGE SCALE SYSTEMS; NEURAL NETWORKS; PHYSICS;

EID: 84900342920     PISSN: None     EISSN: 21603308     Source Type: Journal    
DOI: 10.1103/PhysRevX.4.011053     Document Type: Article
Times cited : (19)

References (67)
  • 1
    • 0033667243 scopus 로고    scopus 로고
    • The Role of Single Neurons in Information Processing
    • C. Koch and I. Segev, The Role of Single Neurons in Information Processing, Nat. Neurosci. 3, 1171 (2000).
    • (2000) Nat. Neurosci. , vol.3 , pp. 1171
    • Koch, C.1    Segev, I.2
  • 3
    • 0041319178 scopus 로고    scopus 로고
    • Submillisecond Precision of the Input-Output Transformation Function Mediated by Fast Sodium Dendritic Spikes in Basal Dendrites of CA1 Pyramidal Neurons
    • G. Ariav, A. Polsky, and J. Schiller, Submillisecond Precision of the Input-Output Transformation Function Mediated by Fast Sodium Dendritic Spikes in Basal Dendrites of CA1 Pyramidal Neurons, J. Neurosci. 23, 7750 (2003).
    • (2003) J. Neurosci. , vol.23 , pp. 7750
    • Ariav, G.1    Polsky, A.2    Schiller, J.3
  • 4
    • 10944234870 scopus 로고    scopus 로고
    • On the Initiation and Propagation of Dendritic Spikes in CA1 Pyramidal Neurons
    • S. Gasparini, M. Migliore, and J. C. Magee, On the Initiation and Propagation of Dendritic Spikes in CA1 Pyramidal Neurons, J. Neurosci. 24, 11046 (2004).
    • (2004) J. Neurosci. , vol.24 , pp. 11046
    • Gasparini, S.1    Migliore, M.2    Magee, J.C.3
  • 5
    • 2542476020 scopus 로고    scopus 로고
    • Computational Subunits in Thin Dendrites of Pyramidal Cells
    • A. Polsky, B.W. Mel, and J. Schiller, Computational Subunits in Thin Dendrites of Pyramidal Cells, Nat. Neurosci. 7, 621 (2004).
    • (2004) Nat. Neurosci. , vol.7 , pp. 621
    • Polsky, A.1    Mel, B.W.2    Schiller, J.3
  • 6
    • 33846628659 scopus 로고    scopus 로고
    • Properties of Basal Dendrites of Layer 5 Pyramidal Neurons: A Direct Patch-Clamp Recording Study
    • T. Nevian, M. E. Larkum, A. Polsky, and J. Schiller, Properties of Basal Dendrites of Layer 5 Pyramidal Neurons: A Direct Patch-Clamp Recording Study, Nat. Neurosci. 10, 206 (2007).
    • (2007) Nat. Neurosci. , vol.10 , pp. 206
    • Nevian, T.1    Larkum, M.E.2    Polsky, A.3    Schiller, J.4
  • 7
    • 53949085530 scopus 로고    scopus 로고
    • Synaptic Clustering by Dendritic Signalling Mechanisms
    • M. E. Larkum and T. Nevian, Synaptic Clustering by Dendritic Signalling Mechanisms, Curr. Opin. Neurobiol. 18, 321 (2008).
    • (2008) Curr. Opin. Neurobiol. , vol.18 , pp. 321
    • Larkum, M.E.1    Nevian, T.2
  • 8
    • 0037468832 scopus 로고    scopus 로고
    • Pyramidal Neuron as Two-Layer Neural Network
    • P. Poirazi, T. Brannon, and B.W. Mel, Pyramidal Neuron as Two-Layer Neural Network, Neuron 37, 989 (2003).
    • (2003) Neuron , vol.37 , pp. 989
    • Poirazi, P.1    Brannon, T.2    Mel, B.W.3
  • 10
    • 0037468840 scopus 로고    scopus 로고
    • Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell
    • P. Poirazi, T. Brannon, and B.W. Mel, Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell, Neuron 37, 977 (2003).
    • (2003) Neuron , vol.37 , pp. 977
    • Poirazi, P.1    Brannon, T.2    Mel, B.W.3
  • 12
    • 0000745533 scopus 로고
    • Statistical Mechanics of a Multilayered Neural Network
    • E. Barkai, D. Hansel, and I. Kanter, Statistical Mechanics of a Multilayered Neural Network, Phys. Rev. Lett. 65, 2312 (1990).
    • (1990) Phys. Rev. Lett. , vol.65 , pp. 2312
    • Barkai, E.1    Hansel, D.2    Kanter, I.3
  • 14
    • 71049155010 scopus 로고    scopus 로고
    • Statistical Physics of Learning: Phase Transitions in Multilayered Neural Networks
    • Springer, Berlin
    • M. Biehl, M. Ahr, and E. Schlösser, Statistical Physics of Learning: Phase Transitions in Multilayered Neural Networks, Advances in Solid State Physics Vol. 40 (Springer, Berlin, 2000).
    • (2000) Advances in Solid State Physics , vol.40
    • Biehl, M.1    Ahr, M.2    Schlösser, E.3
  • 16
    • 0039325414 scopus 로고    scopus 로고
    • Storage Capacity of the Fully-Connected Committee Machine
    • R. Urbanczik, Storage Capacity of the Fully-Connected Committee Machine, J. Phys. A 30, L387 (1997).
    • (1997) J. Phys. A , vol.30
    • Urbanczik, R.1
  • 17
    • 70349690216 scopus 로고    scopus 로고
    • Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields
    • e1000500
    • B. Ujfalussy, T. Kiss, and P. Érdi, Parallel Computational Subunits in Dentate Granule Cells Generate Multiple Place Fields, PLoS Comput. Biol. 5, e1000500 (2009).
    • (2009) PLoS Comput. Biol. , vol.5
    • Ujfalussy, B.1    Kiss, T.2    Érdi, P.3
  • 18
    • 84856521457 scopus 로고    scopus 로고
    • Statistical Physics Approach to Dendritic Computation: The Excitable-Wave Mean-Field Approximation
    • 011911
    • L. L. Gollo, O. Kinouchi, and M. Copelli, Statistical Physics Approach to Dendritic Computation: The Excitable-Wave Mean-Field Approximation, Phys. Rev. E 85, 011911 (2012).
    • (2012) Phys. Rev. E , vol.85
    • Gollo, L.L.1    Kinouchi, O.2    Copelli, M.3
  • 19
    • 0035369543 scopus 로고    scopus 로고
    • NMDA Receptor-Mediated Dendritic Spikes and Coincident Signal Amplification
    • J. Schiller and Y. Schiller, NMDA Receptor-Mediated Dendritic Spikes and Coincident Signal Amplification, Curr. Opin. Neurobiol. 11, 343 (2001).
    • (2001) Curr. Opin. Neurobiol. , vol.11 , pp. 343
    • Schiller, J.1    Schiller, Y.2
  • 20
    • 41349096492 scopus 로고    scopus 로고
    • Compartmentalized Dendritic Plasticity and Input Feature Storage in Neurons
    • A. Losonczy, J. K. Makara, and J. C. Magee, Compartmentalized Dendritic Plasticity and Input Feature Storage in Neurons, Nature (London) 452, 436 (2008).
    • (2008) Nature (London) , vol.452 , pp. 436
    • Losonczy, A.1    Makara, J.K.2    Magee, J.C.3
  • 21
    • 0001374453 scopus 로고
    • NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron
    • B.W. Mel, NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron, Neural Comput. 4, 502 (1992).
    • (1992) Neural Comput. , vol.4 , pp. 502
    • Mel, B.W.1
  • 22
    • 0035053796 scopus 로고    scopus 로고
    • Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue
    • P. Poirazi and B.W. Mel, Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue, Neuron 29, 779 (2001).
    • (2001) Neuron , vol.29 , pp. 779
    • Poirazi, P.1    Mel, B.W.2
  • 23
    • 48249132065 scopus 로고    scopus 로고
    • Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees
    • P. A. Rhodes, Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees, Neural Comput. 20, 2000 (2008).
    • (2008) Neural Comput. , vol.20 , pp. 2000
    • Rhodes, P.A.1
  • 24
    • 84859496500 scopus 로고    scopus 로고
    • Gradient Estimation in Dendritic Reinforcement Learning
    • M. Schiess, R. Urbanczik, and W. Senn, Gradient Estimation in Dendritic Reinforcement Learning, J. Math. Neurosci. 2, 1 (2012).
    • (2012) J. Math. Neurosci. , vol.2 , pp. 1
    • Schiess, M.1    Urbanczik, R.2    Senn, W.3
  • 25
    • 0020118274 scopus 로고
    • Neural Networks and Physical Systems with Emergent Collective Computational Abilities
    • J. J. Hopfield, Neural Networks and Physical Systems with Emergent Collective Computational Abilities, Proc. Natl. Acad. Sci. U.S.A. 79, 2554 (1982).
    • (1982) Proc. Natl. Acad. Sci. U.S.A. , vol.79 , pp. 2554
    • Hopfield, J.J.1
  • 27
    • 34447279459 scopus 로고    scopus 로고
    • Selectivity and Stability via Dendritic Nonlinearity
    • K. Morita, M. Okada, and K. Aihara, Selectivity and Stability via Dendritic Nonlinearity, Neural Comput. 19, 1798 (2007).
    • (2007) Neural Comput. , vol.19 , pp. 1798
    • Morita, K.1    Okada, M.2    Aihara, K.3
  • 28
    • 50549092533 scopus 로고    scopus 로고
    • Possible Role of Dendritic Compartmentalization in the Spatial Working Memory Circuit
    • K. Morita, Possible Role of Dendritic Compartmentalization in the Spatial Working Memory Circuit, J. Neurosci. 28, 7699 (2008).
    • (2008) J. Neurosci. , vol.28 , pp. 7699
    • Morita, K.1
  • 29
    • 0032129687 scopus 로고    scopus 로고
    • A Role for NMDA-Receptor Channels in Working Memory
    • J. E. Lisman, J. M. Fellous, and X. J. Wang, A Role for NMDA-Receptor Channels in Working Memory, Nat. Neurosci. 1, 273 (1998).
    • (1998) Nat. Neurosci. , vol.1 , pp. 273
    • Lisman, J.E.1    Fellous, J.M.2    Wang, X.J.3
  • 30
    • 0035426435 scopus 로고    scopus 로고
    • Synaptic Reverberation Underlying Mnemonic Persistent Activity
    • X. J. Wang, Synaptic Reverberation Underlying Mnemonic Persistent Activity, Trends Neurosci. 24, 455 (2001).
    • (2001) Trends Neurosci. , vol.24 , pp. 455
    • Wang, X.J.1
  • 31
    • 84876590797 scopus 로고    scopus 로고
    • Nonlinear Multiplicative Dendritic Integration in Neuron and Network Models
    • D. Zhang, Y. Li, M. J. Rasch, and S. Wu, Nonlinear Multiplicative Dendritic Integration in Neuron and Network Models, Front. Comput. Neurosci. 7 (2013).
    • (2013) Front. Comput. Neurosci. , vol.7
    • Zhang, D.1    Li, Y.2    Rasch, M.J.3    Wu, S.4
  • 32
    • 37849037775 scopus 로고    scopus 로고
    • Coincidence Detection of Place and Temporal Context in a Network Model of Spiking Hippocampal Neurons
    • Y. Katz, W. L. Kath, N. Spruston, and M. E. Hasselmo, Coincidence Detection of Place and Temporal Context in a Network Model of Spiking Hippocampal Neurons, PLoS Comput. Biol. 3, e234 (2007).
    • (2007) PLoS Comput. Biol. , vol.3
    • Katz, Y.1    Kath, W.L.2    Spruston, N.3    Hasselmo, M.E.4
  • 33
    • 0035155356 scopus 로고    scopus 로고
    • Dendritic Coincidence Detection of EPSPs and Action Potentials
    • G. J. Stuart and M. Häusser, Dendritic Coincidence Detection of EPSPs and Action Potentials, Nat. Neurosci. 4, 63 (2001).
    • (2001) Nat. Neurosci. , vol.4 , pp. 63
    • Stuart, G.J.1    Häusser, M.2
  • 34
    • 78549267109 scopus 로고    scopus 로고
    • Support for a Synaptic Chain Model of Neuronal Sequence Generation
    • M. A. Long, D. Z. Jin, and M. S. Fee, Support for a Synaptic Chain Model of Neuronal Sequence Generation, Nature (London) 468, 394 (2010).
    • (2010) Nature (London) , vol.468 , pp. 394
    • Long, M.A.1    Jin, D.Z.2    Fee, M.S.3
  • 35
    • 0020079720 scopus 로고
    • Cellular Mechanism of Neuronal Synchronization in Epilepsy
    • R. D. Traub and R. K. S. Wong, Cellular Mechanism of Neuronal Synchronization in Epilepsy, Science 216, 745 (1982).
    • (1982) Science , vol.216 , pp. 745
    • Traub, R.D.1    Wong, R.K.S.2
  • 36
  • 37
    • 84861143516 scopus 로고    scopus 로고
    • Non-additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
    • e1002384
    • R. M. Memmesheimer and M. Timme, Non-additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks, PLoS Comput. Biol. 8, e1002384 (2012).
    • (2012) PLoS Comput. Biol. , vol.8
    • Memmesheimer, R.M.1    Timme, M.2
  • 38
    • 77954655447 scopus 로고    scopus 로고
    • Quantitative Prediction of Intermittent High-Frequency Oscillations in Neural Networks with Supralinear Dendritic Interactions
    • R. M. Memmesheimer, Quantitative Prediction of Intermittent High-Frequency Oscillations in Neural Networks with Supralinear Dendritic Interactions, Proc. Natl. Acad. Sci. U.S.A. 107, 11 092 (2010).
    • (2010) Proc. Natl. Acad. Sci. U.S.A. , vol.107 , Issue.11 , pp. 092
    • Memmesheimer, R.M.1
  • 39
    • 0004469897 scopus 로고
    • Neurons with Graded Response Have Collective Computational Properties Like Those of Two-State Neurons
    • J. J. Hopfield, Neurons with Graded Response Have Collective Computational Properties Like Those of Two-State Neurons, Proc. Natl. Acad. Sci. U.S.A. 81, 3088 (1984).
    • (1984) Proc. Natl. Acad. Sci. U.S.A. , vol.81 , pp. 3088
    • Hopfield, J.J.1
  • 40
    • 0342655766 scopus 로고
    • Stochastic Analyses of the Dynamics of Generalized Little-Hopfield-Hemmen Type Neural Networks
    • M. Shiino, Stochastic Analyses of the Dynamics of Generalized Little-Hopfield-Hemmen Type Neural Networks, J. Stat. Phys. 59, 1051 (1990).
    • (1990) J. Stat. Phys. , vol.59 , pp. 1051
    • Shiino, M.1
  • 41
    • 0027148066 scopus 로고
    • Associative Memory with Nonmonotone Dynamics
    • M. Morita, Associative Memory with Nonmonotone Dynamics, Neural Netw. 6, 115 (1993).
    • (1993) Neural Netw. , vol.6 , pp. 115
    • Morita, M.1
  • 42
    • 0000639431 scopus 로고    scopus 로고
    • Retrieval Phase Diagrams of Non-monotonic Hopfield Networks
    • J. Inoue, Retrieval Phase Diagrams of Non-monotonic Hopfield Networks, J. Phys. A 29, 4815 (1996).
    • (1996) J. Phys. A , vol.29 , pp. 4815
    • Inoue, J.1
  • 43
    • 0035272372 scopus 로고    scopus 로고
    • Nonlinear Measures: A New Approach to Exponential Stability Analysis for Hopfield-Type Neural Networks
    • H. Qiao, J. Peng, and Z. B. Xu, Nonlinear Measures: A New Approach to Exponential Stability Analysis for Hopfield-Type Neural Networks, Neural Netw. 12, 360 (2001).
    • (2001) Neural Netw. , vol.12 , pp. 360
    • Qiao, H.1    Peng, J.2    Xu, Z.B.3
  • 44
    • 0034673758 scopus 로고    scopus 로고
    • NMDA Spikes in Basal Dendrites of Cortical Pyramidal Neurons
    • J. Schiller, G. Major, H. J. Koester, and Y. Schiller, NMDA Spikes in Basal Dendrites of Cortical Pyramidal Neurons, Nature (London) 404, 285 (2000).
    • (2000) Nature (London) , vol.404 , pp. 285
    • Schiller, J.1    Major, G.2    Koester, H.J.3    Schiller, Y.4
  • 46
    • 0038503056 scopus 로고
    • On Cumulative Sums of Random Variables
    • A. Wald, On Cumulative Sums of Random Variables, Ann. Math. Stat. 15, 283 (1944).
    • (1944) Ann. Math. Stat. , vol.15 , pp. 283
    • Wald, A.1
  • 47
    • 84900336509 scopus 로고
    • On Functions of Sequences of Independent Chance Vectors with Applications to the Problem of the "Random Walk" in k Dimensions
    • D. Blackwell and M. A. Girshick, On Functions of Sequences of Independent Chance Vectors with Applications to the Problem of the "Random Walk" in k Dimensions, Ann. Math. Stat. 17, 310 (1946).
    • (1946) Ann. Math. Stat. , vol.17 , pp. 310
    • Blackwell, D.1    Girshick, M.A.2
  • 49
    • 0028892346 scopus 로고
    • Inhibitory Control of Excitable Dendrites in Neocortex
    • H. G. Kim, M. Beierlein, and B.W. Connors, Inhibitory Control of Excitable Dendrites in Neocortex, J. Neurophysiol. 74, 1810 (1995).
    • (1995) J. Neurophysiol. , vol.74 , pp. 1810
    • Kim, H.G.1    Beierlein, M.2    Connors, B.W.3
  • 50
    • 0343362706 scopus 로고    scopus 로고
    • Total Number and Ratio of Excitatory and Inhibitory Synapses Converging onto Single Interneurons of Different Types in the CA1 Area of the Rat Hippocampus
    • A. I. Gulyás, M. Megias, Z. Emri, and T. F. Freund, Total Number and Ratio of Excitatory and Inhibitory Synapses Converging onto Single Interneurons of Different Types in the CA1 Area of the Rat Hippocampus, J. Neurosci. 19, 10 082 (1999).
    • (1999) J. Neurosci. , vol.19 , pp. 10082
    • Gulyás, A.I.1    Megias, M.2    Emri, Z.3    Freund, T.F.4
  • 52
    • 84956108236 scopus 로고
    • The Enhanced Storage Capacity in Neural Networks with Low Activity Level
    • M. V. Tsodyks and M. V. Feigel'man, The Enhanced Storage Capacity in Neural Networks with Low Activity Level, Europhys. Lett. 6, 101 (1988).
    • (1988) Europhys. Lett. , vol.6 , pp. 101
    • Tsodyks, M.V.1    Feigel'man, M.V.2
  • 53
    • 4244216476 scopus 로고
    • Storing Infinite Numbers of Patterns in a Spin Glass Model of Neural Networks
    • D. J. Amit, H. Gutfreund, and H. Sompolinsky, Storing Infinite Numbers of Patterns in a Spin Glass Model of Neural Networks, Phys. Rev. Lett. 55, 1530 (1985).
    • (1985) Phys. Rev. Lett. , vol.55 , pp. 1530
    • Amit, D.J.1    Gutfreund, H.2    Sompolinsky, H.3
  • 54
    • 84857926538 scopus 로고    scopus 로고
    • Calcium-Based Plasticity Model Explains Sensitivity of Synaptic Changes to Spike Pattern, Rate, and Dendritic Location
    • M. Graupner and N. Brunel, Calcium-Based Plasticity Model Explains Sensitivity of Synaptic Changes to Spike Pattern, Rate, and Dendritic Location, Proc. Natl. Acad. Sci. U.S.A. 109, 3991 (2012).
    • (2012) Proc. Natl. Acad. Sci. U.S.A. , vol.109 , pp. 3991
    • Graupner, M.1    Brunel, N.2
  • 55
    • 0024909476 scopus 로고
    • Convergent Activation Dynamics in Continuous Time Networks
    • M.W. Hirsch, Convergent Activation Dynamics in Continuous Time Networks, Neural Netw. 2, 331 (1989).
    • (1989) Neural Netw. , vol.2 , pp. 331
    • Hirsch, M.W.1
  • 56
    • 0030266758 scopus 로고    scopus 로고
    • Synaptic Transmission: Noisy Synapses and Noisy Neurons
    • D. K. Smetters and A. Zador, Synaptic Transmission: Noisy Synapses and Noisy Neurons, Curr. Biol. 6, 1217 (1996).
    • (1996) Curr. Biol. , vol.6 , pp. 1217
    • Smetters, D.K.1    Zador, A.2
  • 57
    • 11644279337 scopus 로고
    • Time-Dependent Statistics of the Ising Model
    • R. J. Glauber, Time-Dependent Statistics of the Ising Model, J. Math. Phys. (N.Y.) 4, 294 (1963).
    • (1963) J. Math. Phys. (N.Y.) , vol.4 , pp. 294
    • Glauber, R.J.1
  • 59
    • 0031979829 scopus 로고    scopus 로고
    • Morphological Variation of Layer III Pyramidal Neurones in the Occipitotemporal Pathway of the Macaque Monkey Visual Cortex
    • G. N. Elston and M. G. Rosa, Morphological Variation of Layer III Pyramidal Neurones in the Occipitotemporal Pathway of the Macaque Monkey Visual Cortex, Cereb. Cortex 8, 278 (1998).
    • (1998) Cereb. Cortex , vol.8 , pp. 278
    • Elston, G.N.1    Rosa, M.G.2
  • 60
    • 0034755818 scopus 로고    scopus 로고
    • Associative Memory in Networks of Spiking Neurons
    • F. T. Sommer and T. Wennekers, Associative Memory in Networks of Spiking Neurons, Neural Netw. 14, 825 (2001).
    • (2001) Neural Netw. , vol.14 , pp. 825
    • Sommer, F.T.1    Wennekers, T.2
  • 61
    • 13844319430 scopus 로고    scopus 로고
    • Memory Capacity of Balanced Networks
    • Y. Aviel, D. Horn, and M. Abeles, Memory Capacity of Balanced Networks, Neural Comput. 17, 691 (2005).
    • (2005) Neural Comput. , vol.17 , pp. 691
    • Aviel, Y.1    Horn, D.2    Abeles, M.3
  • 62
    • 0037130208 scopus 로고    scopus 로고
    • Dendritic Spikes as a Mechanism for Cooperative Long-Term Potentiation
    • N. L. Golding, N. P. Staff, and N. Spruston, Dendritic Spikes as a Mechanism for Cooperative Long-Term Potentiation, Nature (London) 418, 326 (2002).
    • (2002) Nature (London) , vol.418 , pp. 326
    • Golding, N.L.1    Staff, N.P.2    Spruston, N.3
  • 63
    • 0027485141 scopus 로고
    • Noise Enhancement of Information Transfer in Crayfish Mechanoreceptors by Stochastic Resonance
    • J. K. Douglass, L. Wilkens, E. Pantazelou, and F. Moss, Noise Enhancement of Information Transfer in Crayfish Mechanoreceptors by Stochastic Resonance, Nature (London) 365, 337 (1993).
    • (1993) Nature (London) , vol.365 , pp. 337
    • Douglass, J.K.1    Wilkens, L.2    Pantazelou, E.3    Moss, F.4
  • 64
    • 0032545931 scopus 로고    scopus 로고
    • Noise-Supported Travelling Waves in Sub-excitable Media
    • S. Kadar, J. Wang, and K. Showalter, Noise-Supported Travelling Waves in Sub-excitable Media, Nature (London) 391, 770 (1998).
    • (1998) Nature (London) , vol.391 , pp. 770
    • Kadar, S.1    Wang, J.2    Showalter, K.3
  • 65
    • 0033485893 scopus 로고    scopus 로고
    • Storage Capacity of Non-monotonic Neurons
    • B. Crespi, Storage Capacity of Non-monotonic Neurons, Neural Netw. 12, 1377 (1999).
    • (1999) Neural Netw. , vol.12 , pp. 1377
    • Crespi, B.1
  • 66
    • 79960955023 scopus 로고    scopus 로고
    • Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons
    • R. Legenstein and W. Maass, Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons, J. Neurosci. 31, 10 787 (2011).
    • (2011) J. Neurosci. , vol.31 , Issue.10 , pp. 787
    • Legenstein, R.1    Maass, W.2


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