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Publications

51
M. Katkov, M. Tsodyks & D. Sagi. "Inverse modeling of human contrast response" . Vision Research, 47, 2855-2867 (2007).

50
O. Barak & M. Tsodyks. "Persistent activity in neural networks with dynamic synapses" . PLoS Comput. Biol., 3, e35 (2007).

49
S. Preminger, D. Sagi & M. Tsodyks. "The effects of perceptual history on memory of visual objects" . Vision Research, 47, 965-973 (2007).

48
B. Blumenfeld, S. Preminger, D. Sagi & M. Tsodyks "Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity" . Neuron, 52, 383-394 (2006).

47
O. Barak & M. Tsodyks. "Recognition by Variance: Learning Rules for Spatiotemporal Patterns". Neural Computation, 18, 2343-2358 (2006).

46
D. Holcman & M. Tsodyks. "The Emergence of Up and Down States in Cortical Networks". PLOS Comp. Biology, 2, e23 (2006).

45
B. Blumenfeld, D. Bibitchkov & M. Tsodyks. "Neural network model of the primary visual cortex: from functional architecture to lateral connectivity and back". Journal of Comp. Neuroscience, 20, 219-241 (2006).

44
M. Tsodyks, Y. A. Adini & D. Sagi. "Associative learning in early vision". Neural Networks, 17, 823-832 (2004).

43
G. Silberberg, M. Bethge, H. Markram, K. Pawelzik & M. Tsodyks. "Dynamics of population rate codes in the ensembles of neocortical neurons". J. of Neurophysiology, 91, 704-709 (2004).

42
Y. Adini, D. Sagi & M. Tsodyks. "Context enabled learning in human visual system". Nature, 415, 790-794 (2002).

41
A. Loebel & M. Tsodyks. "Computation by ensemble synchronization in recurrent networks with synaptic depression". J. of Computational Neuroscience, 13, 111-124 (2002).

40
G. Fuhrmann, I. Segev, H. Markram & M. Tsodyks. "Coding of temporal information by activity dependent synapses". J. of Neurophysiology, 87, 140-148 (2002).

39
U. Ernst, K. Pawelzik, C. Sahar-Pikielny & M. Tsodyks. "Intracortical origin of visual maps". Nature Neuroscience, 4, 431-436 (2001).

38
W. Senn, H. Markram & M. Tsodyks. "An algorithm for modifying neurotransmitter release probability based on pre- and post-synaptic spike timing". Neural Computation, 13, 35-67 (2001).

37
M. Tsodyks, A. Uziel & H. Markram. "Synchrony generation in recurrent network with frequency-dependent synapses". J. of Neuroscience, 20, RC1 (1-5) (2000).

36
M. Tsodyks, T. Kenet, A. Grinvald & A. Arieli. "Linking spontaneous activity of single cortical neurons and the underlying functional architecture". Science, 286, 1943-1946 (1999).

35
U. Ernst, K. Pawelzik, M. Tsodyks, & T. Sejnowski. "Relation between retinotopical and orientation maps in visual cortex". Neural Computation, 11, 375-379 (1999).

34
H. Markram, Y. Wang & M. Tsodyks. "Differential signaling via the same axon from neocortical layer 5 pyramidal neurons". PNAS, 95, 5323-5328 (1998).

33
M. Tsodyks, K. Pawelzik & H. Markram. "Neural networks with dynamic synapses". Neural Computations, 10, 821-835 (1998).

32
Y. Adini, D. Sagi & M. Tsodyks. "Excitatory-inhibitory network in the visual cortex: Psychophysical evidence". PNAS, 94, 10426-10431 (1997).

31
M. Tsodyks, W. Skaggs, T.Sejnowski & B.McNaughton. "Paradoxical effects of external modulation of inhibitory interneurons". Journal of Neuroscience, 17, 4382-4388 (1997).

30
O. Hendin, D. Horn & M.V. Tsodyks "The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb". Journal of Computational Neuroscience, 4, 173-182 (1997).

29
M.V. Tsodyks & H. Markram "The Neural Code between Neocortical Pyramidal Neurons Depends on Neurotransmitter Release Probability". PNAS, 94, 719-723 (1997).

28
H. Markram & M. V. Tsodyks "Redistribution of synaptic efficacy: A mechanism to generate infinite synaptic input diversity from a homogeneous population of neurons without changing absolute synaptic efficacies". J. Physiology (Paris), 90, 229-232 (1996).

27
M.V. Tsodyks & H. Markram (1996) "Plasticity of Neocortical Synapses Enables Transitions Between Rate & Temporal Coding". Lecture Notes in Comp. Sci., eds C. von der Malsburg et al (Springer), 1112, 445-450.

26
H. Markram & M. Tsodyks. "Redistribution of synaptic efficacy between pyramidal neurons". Nature, 382, 807-810 (1996).

25
M. Tsodyks, W. Skaggs, T.Sejnowski & B.McNaughton. "Population dynamics and theta rhythm phase precession of hippocampal place cell firing: a spiking neuron model". Hippocampus, 6, 271-280 (1996).

24
M. Tsodyks, T. Sejnowski. "Associative memory and hippocampal place cells". Int. Journal of Neural Systems, 6(supp. 1995), 81-86 (1995).

23
M. Tsodyks, T. Sejnowski. "Rapid switching in Balanced Cortical Network Models". Network, 6, 1-14 (1995)

22
A. Bell, Z. Mainen, M. Tsodyks & T. Sejnowski 'Balancing of conductances may explain irregular cortical spiking', INC Technical Report no. INC-9502, Institute for Neural Computation, UCSD, San Diego, CA 92093-0523 (1994).

21
D. Amit, N. Brunel, M. Tsodyks. "Correlations of cortical Hebbian reverberations: experiment versus theory". J. Neuroscience, 14, 6435-6445 (1994).

20
H. Sompolinsky, M. Tsodyks. "Segmentation by a Network of Oscillators". Neural Computation, 6, 642-657 (1994).

19
L. Cugliandolo, M. Tsodyks. "Capacity of Networks with Correlated Attractors". Journal of Phys. A, 27, 741-756 (1994).

18
M. Tsodyks, I. Mit'kov, H. Sompolinsky. "Synchrony in Integrate-and-Fire Networks". Proceedings of the International Conference on Artificial Neural Networks (Amsterdam 1993), 622-627. Springer-Verlag London Limited 1993.

17
M. Tsodyks, I. Mit'kov, H. Sompolinsky. "Pattern of Synchrony in Inhomogeneous Networks of Oscillators with Pulse Interactions". Phys. Rev. Lett., 71 , 1280-1283 (1993)

16
M. Griniasty, M. Tsodyks, D. Amit. "Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors". Neural Computations, 5, 1-17 (1993).

15
H. Sompolinsky, M. Tsodyks. "Segmentation by a Network of Oscillators with Memory". Proceedings of IJCNN-92(Baltimore), Vol. III, 66-71,

14
D. Amit, M. Tsodyks. " Effective Neurons and Attractor Neural Networks in Cortical Environment". Network, 3, 121-137 (1992).

13
M. Herrmann, M. Tsodyks. "Destruction of Hierarchy in Non-linear Neural Networks". Neural Networks: from Biology to High Energy Physics, ETS Editrice, Pisa, 1991.

12
D. Amit, M. Tsodyks. "Quantitative Study of Attractor Neural Networks Retrieving at Low Spike Rates II: Low Rate Retrieval in Symmetric Networks". Network, 2, 275-294 (1991).

11
D. Amit, M. Tsodyks. "Quantitative Study of Attractor Neural Networks Retrieving at Low Spike Rates I: Substrate - Spikes, Rates and Neuronal gain". Network, 2, 259-273 (1991).

10
B. Tirozzi, M. Tsodyks. "Chaos in Highly Diluted Neural Networks". Europhysics Letters, 14, 727-732 (1991).

9
M. Tsodyks. "Associative Memory in Neural Networks with Binary Synapses". Modern Physics Letters B, 4, 713 (1990).

8
M. Tsodyks. "Hierarchical Associative Memory in Neural Networks with Low Activity Level". Modern Physics Letters B, 4, 259 (1990).

7
M. Tsodyks. "Associative Memory in Neural Networks with the Hebbian Learning Rule". Modern Physics Letters B, 3, 555 (1989).

6
M. Tsodyks. "Associative Memory in Asymmetrically Diluted Networks with Low Level of Activity". Europhysics Letters, 7, 203 (1988).

5
M. Tsodyks, M. Feigelman. "Enhanced Storage Capacity in Neural Networks with Low Level of Activity". Europhysics Letters, 6, 101 (1988).

4
M. Feigelman, M. Tsodyks. "Dipolar Forces in Amorphous Magnets with Random Anisotropy". Landau Institute Preprint (1987).

3
M. Tsodyks. "Dynamics of Amorphous Magnets with Strong Random Anisotropy". Sov.Phys.JETP, (1), 124 (1987).

2
M. Feigelman, M. Tsodyks."Amorphous Magnets with Strong Random Anisotropy". Sov.Phys.JETP, (3), 562 (1986).

1
M.Tsodyks. "Fluctuative Appearance of Incommensurability in Two-dimentional Crystals". Poverhnost, 1983 (in russian).

Tsodyks Misha
Mon Jan 3 13:45:29 IST 2000