Y. Fukushima, Y. yamaguti, S. Kuroda, T. Aihara,I. Tsuda, and M. Tsukada
Physiological properties of Cantor coding-like iterated function system in the hippocampal CA1 network.
I.Cognitive Neurodynamics, 15(4), (2021) 733-740; DOI 10. 1007/s11571-020-09648-9

Y. Yamaguchi and I. Tsuda
Functional differentiations in evolutionary reservoir computing networks
Chaos, 31(2021) 013137-1-14.

2020

J-H. Seo, I. Tsuda, Y.J.Lee, A. Ikeda, M. Matsuhashi, R. Matsumoto, T. Kikuchi, and H. Kang
Pattern recognition in epileptic EEG signals via dynamic mode decomposition
Mathematics 2020, 8, 481; doi:10.3390/math8040481

T. Namiki,I. Tsuda, S. Tadokoro, S. Kajikawa, T. Kunieda, R. matsumoto, M. Matsuhashi, A. Ikeda
Mathematical structures for epilepsy: High-frequency oscillation and interictal epileptic slow (red slow)
Neuroscience Research, 156 (2020) 178-187(Available online 20 November 2019).

H. Watanabe, T. Ito and I. Tsuda
A mathematical model for neuronal differentiation in terms of an evolved dynamical system
Neuroscience Research, 156 (2020)206-216.

S. Nara, K. Soma, Y. Yamaguti and I. Tsuda
Constrained chaos in three-module neural network enables to execute multiple tasks simultaneously
neuroscience research, 156 (2020) 217-224(Available online 28 December, 2019).

2019

S. Nara, H. Fujii, H. Tsukada and I. Tsuda
A three modules scenario in an interpretation of visual hallucination in dementia with Lewy bodies and preliminary results of computer experiments
Proceedings of International Joint Conference on Neural Networks, 2019.

2018

Ichiro Tsuda
Finding mathematics in dynamics of the brain: Walter Freeman as an outstanding applied mathematician
Journal of Consciousness Studies, 25, no.1-2 (2018) 121-130.

2017

Namiki T, Tsuda I
Mathematical Structures in the Brain Dynamics of Epilepsy.
Advances in Neuroinformatics 2017. doi: 10.14931/aini2017.osiv.4

Ichiro Tsuda
Computational theory for constrained self-organization in neural systems and its applications.
Advances in Neuroinformatics 2017. doi: 10.14931/aini2017.kl.3

2016

Daniel Collerton, John-Paul Taylor, Ichiro Tsuda, Hiroshi Fujii, Shigetoshi Nara, Kazuyuki Aihara and Yuichi Katori
How Can We See Things That Are Not There? Current Insights into Complex Visual Hallucinations
Journal of Consciousness Studies, 23, No.7-8, 2016 pp.195-227(PDF 2.9MB)

Ichiro Tsuda, Yutaka Yamaguti and Hiroshi Watanabe
Self-Organization with Constraints―A Mathematical Model for Functional Differentiation.
Entropy 2016, 18, 74; doi:10.3390/e18030074(PFD file 1.2MB)

2015

Hiromichi Tsukada, Hiroshi Fujii, Kazuyuki Aihara, Ichiro Tsuda
Computational model of visual hallucination in dementia with Lewy bodies
Neural Networks, 62, 73-82 (2015)
(PDF file 1.2MB)

Ichiro Tsuda
Chaotic itinerancy and its roles in cognitive neurodynamics
Current Opinion in Neurobiology, Vol.31, pp.67-71 (2015), DOI:10.1016/j.conb.2014.08.011
(PDF file 448KB)

Ichiro Tsuda
Logic dynamics for deductive inference ― Its stability and neural basis
Chaos, Information Processing and Paradoxical Games: The legacy of John S Nicolis (eds. G. Nicolis and V. Basions, World Scientific, 2015)pp 355-373.
(PDF file 178KB)

Rubin Wang, Ichiro Tsuda, Zhikang Zhang
Neuronal Activity. International Journal of Neural Systems 25:03. (2015) A New Work Mechanism on Online, publication date: 1-May-2015.

Yutaka Yamaguti, Ichiro Tsuda
Mathematical Modeling for Evolution of Heterogeneous Modules in the Brain,
Neural Networks, 62, 3-10 (2015) DOI:10.1016/j.neunet.2014.07.013

2014

Ichiro Tsuda, Yoko Yamaguchi, Takashi Hashimoto, Jiro Okuda, Masahiro Kawasaki, Yasuo Nagasaka
Study of the neural dynamics for understanding communication in terms of complex hetero systems
Neuroscience Research, 90, pp.51-55 (2014),
doi:10.1016/j.neures.2014.10.007

Xiaochuan Pan, Hongwei Fan, Kosuke Sawa, Ichiro Tsuda, Minoru Tsukada, Masamichi Sakagami
Reward inference by primate prefrontal and striatal neurons
The Journal of Neuroscience, Vol. 34(4), pp.1380-1396 (2014), DOI: 10.1523/JNEUROSCI.2263-13.2014

Yutaka Yamaguti, Ichiro Tsuda, Yoichiro Takahashi
Information flow in heterogeneously interacting systems,
Cognitive Neurodynamics, 8(1), pp 17-26 (2014), DOI: 10.1007/s11571-013-9259-8

2013

Toshi Nakajima, Ryosuke Hosaka, Ichiro Tsuda, Jun Tanji, Hajime Mushiake
Two-dimensional representation of action and arm-use sequences in the presupplementary and supplementary motor areas
The Journal of Neuroscience, Vol. 33(39), 15533-44 (2013) , DOI: 10.1523/JNEUROSCI.0855-13.2013

Hiromichi Tsukada, Yutaka Yamaguti, Ichiro Tsuda
Transitory memory retrieval in a biologically plausible neural network model,
Cognitive Neurodynamics, 7:(5), pp. 409-416 (2013) , DOI: 10.1007/s11571-013-9244-2

Yongtao Li and Ichiro Tsuda
Novelty-induced memory transmission between two nonequilibrium neural networks
Cognitive Neurodynamics 7(3), pp225–236 (2013)
DOI: 10.1007/s11571-012-9231-z

Yasuhiro Fukushima, Yoshikazu Isomura, Yutaka Yamaguti, Shigeru Kuroda, Ichiro Tsuda
Inhibitory Network Dependency in Cantor Coding
Advances in Cognitive Neurodynamics (III), Proceedings of the Third International Conference on Cognitive Neurodynamics – 2011, 635-640 (2013),
DOI: 10.1007/978-94-007-4792-0_85

Yongtao Li, Ichiro Tsuda
A Communicative Model: Can We Interpret Neural Dynamics of Understanding?
Advances in Cognitive Neurodynamics (III), Proceedings of the Third International Conference on Cognitive Neurodynamics – 2011, 551-558 (2013),
DOI: 10.1007/978-94-007-4792-0_74

Hiroshi Fujii, Takashi Kanamaru, Kazuyuki Aihara, Ichiro Tsuda
Attentional Cholinergic Projections May Induce Transitions of Attractor Landscape via Presynaptic Modulations of Connectivity
Advances in Cognitive Neurodynamics (III), Proceedings of the Third International Conference on Cognitive Neurodynamics – 2011, 97-103 (2013),
DOI: 10.1007/978-94-007-4792-0_14

Ichiro Tsuda
Towards Understanding of Neural Dynamics in Communicating Brains
Advances in Cognitive Neurodynamics (III), Proceedings of the Third International Conference on Cognitive Neurodynamics – 2011, 415-420 (2013),
DOI: 10.1007/978-94-007-4792-0_56

Hiromichi Tsukada, Yutaka Yamaguti, Hiroshi Fujii, Ichiro Tsuda
Transitory Memory Retrieval in the Neural Networks Composed of Pinsky-Rinzel Model Neurons
Advances in Cognitive Neurodynamics (III), Proceedings of the Third International Conference on Cognitive Neurodynamics – 2011, 683-689 (2013),
DOI: 10.1007/978-94-007-4792-0_91

Ichiro Tsuda
Chaotic itinerancy.
Scholarpedia, 8(1):4459 (2013), DOI: 10.4249/scholarpedia.4459

2012

H. Kang and I. Tsuda
Dynamical analysis on duplicating-and-assimilating process: Toward the understanding of mirror-neuron systems
J. of Integrative Neuroscience Vol.11, No.4 (2012) 363-384, DOI: 10.1142/S0219635212500240

2011

Hiroshi Fujii, Takashi Kanamaru, Kazuyuki Aihara, and Ichiro Tsuda
A New Role for Attentional Corticopetal Acetylcholine in Cortical Memory Dynamics,
AIP Conference Proceedings Vol. 1389 “International Conference on Numerical Analysis and Applied Mathematics 2011″, eds T. E. Simos et al., American Institute of Physics (2011) pp. 1340-1343
DOI: 10.1063/1.3637868

Minoru Tsukada, Yasuhiro Fukushima, Makoto Yoneyama, Takeshi Aihara, Yutaka Yamaguti, Ichiro Tsuda
Spatiotemporal Coding Mechanisms in the Hippocampal CA1
AIP Conference Proceedings Vol. 1389 “International Conference on Numerical Analysis and Applied Mathematics 2011″, eds T. E. Simos et al., American Institute of Physics (2011) pp. 1358-1360, DOI: 10.1063/1.3637872

Yutaka Yamaguti, Ichiro Tsuda, and Yoichiro Takahashi
Information Theoretic Approach to Dynamical Systems of Heterogeneously Interacting Chaotic Oscillators,
AIP Conference Proceedings Vol. 1389 “International Conference on Numerical Analysis and Applied Mathematics 2011″, eds T. E. Simos et al., American Institute of Physics (2011) pp. 1361-1364,
DOI: 10.1063/1.3637873

Hiroshi Fujii, Kazuyuki Aihara and Ichiro Tsuda
Top-down Mechanism of Perception: A Scenario on the Role for Layer 1 and 2/3 Projections Viewed from Dynamical Systems Theory
in Advances in Cognitive Neurodynamics(II): Proceedings of the Second International Conference on Cognitive Neurodynamics – 2009, eds. R. Wang and F. Gu, Springer (2011) pp. 79-84,
DOI: 10.1007/978-90-481-9695-1_11

I. Tsuda
Chaotic Dynamics, Episodic Memory, and Self-identity,
in Advances in Cognitive Neurodynamics(II): Proceedings of the Second International Conference on Cognitive Neurodynamics – 2009, eds. R. Wang and F. Gu, Springer (2011) pp. 11-18,
DOI: 10.1007/978-90-481-9695-1_2

S. Kuroda, Y. Fukushima, Y. Yamaguti, M. Tsukada and I. Tsuda
Emergence of Iterated Function Systems in the Hippocampal CA1,
in Advances in Cognitive Neurodynamics(II): Proceedings of the Second International Conference on Cognitive Neurodynamics – 2009, eds. R. Wang and F. Gu, Springer (2011) pp. 103-106,
DOI: 10.1007/978-90-481-9695-1_15

Y. Yamaguti, S. Kuroda, and I. Tsuda
Representation of Time-series by a Self-similar Set in a Model of Hippocampal CA1,
in Advances in Cognitive Neurodynamics(II): Proceedings of the Second International Conference on Cognitive Neurodynamics – 2009, eds. R. Wang and F. Gu, Springer (2011) pp. 97-101,
DOI: 10.1007/978-90-481-9695-1_14

S. Tadokoro, Y. Yamaguti, H. Fujii, and I. Tsuda,
Transitory Behaviors in Diffusively Coupled Nonlinear Oscillators,
Cognitive Neurodynamics 5, 1-12 (2011)
DOI: 10.1007/s11571-010-9130-0

Y. Yamaguti, S. Kuroda, Y. Fukushima, M. Tsukada, and I. Tsuda
A Mathematical Model for Cantor Coding in the Hippocampus,
Neural Networks 24, 43-53 (2011),
DOI: 10.1016/j.neunet.2010.08.006

2009

I. Tsuda
Hypotheses on the functional roles of chaotic transitory dynamics
CHAOS 19, 015113-1 – 015113-10 (2009),
DOI: 10.1063/1.3076393
(PDF file 172 KB)

Shigeru Kuroda, Yasuhiro Fukushima, Yutaka Yamaguti, Minoru Tsukada and Ichiro Tsuda
Iterated function systems in the hippocampal CA1
Cognitive Neurodynamics 3(3), 205-222, (2009) DOI:10.1007/s11571-009-9086-0
(PDF file 1.95 MB)

Hunseok Kang and Ichiro Tsuda
On embedded bifurcation structure in some discretized vector fields
CHAOS 19, 033132-1 – 033132-12 (2009) DOI: 10.1063/1.3212934
(PDF file 1.52 MB)

I. Tsuda,
Chaotic itinerancy reality in the dynamic brain – episodic memory formation,
ICIAM 07: 6th International Congress on Industrial and Applied Mathematics (Zurich, Switzerland, 16-20 July 2007): Invited Lectures (Eds. R. Jeltsch and G. Wanner, European Mathematical Society, 2009) pp. 365-380,
DOI: 10.4171/056-1/17

Kazuhiro Matsumoto, Ichiro Tsuda, Yukiharu Hosoi
Controlling engine system from the perspectives of chaos theory
JSAE Transaction, Vol. 40(1), 93-98 (2009)

2008

X. Pan, K. Sawa, I. Tsuda, M. Tsukada and M. Sakagami
Reward prediction based on stimulus categorization in primate lateral prefrontal cortex
Nature Neuroscience 11, 703-712 (2008). published online 25 May 2008; doi:10.1038/nn.2128

K. Matsumoto, H. Diebner, I. Tsuda and Y. Hosoi
Application of chaos theory to engine systems
In Proc. of Small Engine Technology Conference, Society of Automotive Engineers, 2008-32-0010(SAE)/20084710(JSAE), 2008
(PDF file 712 KB)

I. Tsuda
Number Created by the Interaction Between Consciousness and Memory: A Mathematical Basis for Preafference
Integrative Psychological and Behavioral Science 42(2), 153-156(2008). published online 25 May 2008; doi:10.1007/s12124-008-9062-y
(PDF file 254 KB)

I. Tsuda, Y. Yamaguti, S. Kuroda, Y. Fukushima and M. Tsukada
A Mathematical Model for the Hippocampus: Towards the Understanding of Episodic Memory and Imagination
Prog. Theor. Phys. Suppl. 173 (2008) 99-108

Y. Fukushima, M. Yoneyama, M. Tsukada, I. Tsuda, Y. Yamaguti, and S. Kuroda,
Physiological evidence for Cantor coding output in Hippocampal CA1,
“Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics – 2007″ (Eds. R. Wang, F. Gu, and E. Shen, Springer Science+Business Media B. V., 2008) pp.43-46.

H. Fujii, K. Aihara, and I. Tsuda,
Corticopetal acetylcholine: A role in attentional state transitions and the genesis of quasi-attractors during perception,
“Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics – 2007″ (Eds. R. Wang, F. Gu, and E. Shen, Springer Science+Business Media B. V., 2008) pp. 249-254.

2007

T. Ito and I. Tsuda,
Propagation and storage of input information in the network with feedback (in Japanese) , in “Rhythm in life and oscillatory networks”,
Bussei Kenkyu vol.87, no.4 (2007) pp588-589.

M.Hatakeyama, I.Tsuda
Internal logic viewed from observation space: Theory and a case study
BioSystems 90(1)(2007) pp.273-286. DOI:10.1016/j.biosystems.2006.09.031
(PDF file 254 KB)

Kazuhiro Matsumoto, Ichiro Tsuda and Yuki Hosoi
Controlling Engine System: a Low-Dimensional Dynamics in a Spark Ignition Engine of a Motorcycle
Z. Naturforsch. 62a (2007) pp.587-595
(PDF file 536KB)

I.Tsuda and H. Fujii
Chaos Reality in the Brain
J. of Integrative Neuroscience, 6 (2007) pp.309-326,
DOI: 10.1142/S0219635207001507

Y. Fukushima, M. Tsukada, I. Tsuda, Y. Yamaguti and S. Kuroda
Spatial clustering property and its self-similarity in membrane potentials of hippocampal CA1 pyramidal neurons for a spatio-temporal input sequence
Cogn. Neurodyn. (2007) 1: 305-316,
DOI: 10.1007/s11571-007-9026-9

2006

S. Tadokoro, Y. Yamaguti, I. Tsuda and H. Fujii,
Chaotic itinerancy in gap junction-coupled class I* neurons, Abstracts: The 8th RIES-Hokudai International Symposium on [bi], (2006) pp.112-113
(PDF file 44 KB)

K. Matsumoto and I. Tsuda,
Controlling engine data: Nonperiodic fluctuations in a spark ignition engine of motorcycle and its stabilization,
Abstaracts:The 8th RIES-Hokudai International Symposium on [bi], (2006)pp.110-111
(PDF file 152 KB)

Y. Yamaguti, S. Kuroda and I. Tsuda,
A mathematical model for the hippocampus: Toward the understanding of episodic memory
Abstracts: The 8th RIES-Hokudai International Symposium on [bi], (2006)pp.108-109
(PDF file 61 KB)

2005

H. Fujii and I. Tsuda,
Interneurons: their cognitive roles – A perspective from dynamical systems view,
ICDL2005 – The Fourth IEEE International Conference in Development and Learning – from Interaction to Cognition.
(PDF file 512 KB)

Hans H. Diebner and Ichiro Tsuda,
Fundamental Interfaciology: Indistinguishability and Time’s arrow
Proceedings of FIS2005, MDPI (2005)
(PDF file 194KB)

2004

H. Fujii and I. Tsuda,
Neocortical gap junction-coupled interneuron systems may induce chaotic behavior itinerant among quasi-attractors exhibiting transient synchrony
Neurocomputing, 58-60 (2004), 151-157.
(PDF file 82 KB)

K. Aihara, I. Tsuda, and H. Fujii,
Prologue – The Work of the Late Professor Gen Matsumoto
J. of Integrative Neuroscience, 3 (2004), 111-113.
(PDF file 163 KB)

H. Fujii, K. Aihara, and I. Tsuda,
Functional Relevance of ‘Excitatory’ GABA Actions in Cortical Interneurons:a Dynamical Systems Approach
J. of Integrative Neuroscience, 3 (2004), 183-205.
(PDF file 359 KB)

I. Tsuda,
Chaotic itinerancy is a key to mental diversity.
Response paper to Continuing Commentary by G. Kampis, “Complexity is a cue to the mind”, Behavioral and Brain
Sciences, vol.27 (2004), 586-588.
(PDF file 30.8 KB)

I. Tsuda and S. Kuroda,
A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: Does Cantor coding provide a dynamic model for the formation of episodic memory?
Lecture Notes in Computer Science, vol.3146, 129-139
(PDF file 253 KB)

H. Fujii and I. Tsuda,
Itinerant Dynamics of Class I* Neurons Coupled by Gap Junctions
Lecture Notes in Computer Science, vol.3146, 140-160 (Springer-Verlag, 2004)
(PDF file 955 KB)

I. Tsuda and H. Fujii,
A Complex Systems Approach to an Interpretation of Dynamic Brain Activity I: Chaotic itinerancy can provide a mathematical basis for information processing in cortical transitory and nonstationary dynamics
Lecture Notes in Computer Science, vol. 3146, 109-128 (Springer-Verlag, 2004)
(PDF file 185 KB)

I. Tsuda, H. Fujii, S. Tadokoro, T. Yasuoka, and Y. Yamaguti,
Chaotic Itinerancy as a Mechanism of Irregular Changes between Synchronization and Desynchronization in a Neural Network,
J. of Integrative Neuroscience, 3(2004), 159-182.
(PDF file 1.86 MB)

2003

K. Kaneko and I. Tsuda,
Chaotic Itinerancy
Chaos: Focus Issue on Chaotic Itinerancy, Chaos, 13(3)(2003), 926-936.
(PDF file 296 KB)

I. Tsuda and T. Umemura,
Chaotic itinerancy generated by coupling of Milnor attractors
Chaos, 13 (3) (2003), 937-946.
(PDF file 1,272 KB)

2002

P. Erdi and I. Tsuda,
Hermeneutic approach to the brain: Process versus device
Theoria et Historia Scientiarum, VI(2) (2002), 307-321.

2001

J. K. Ryeu, K. Aihara, and I. Tsuda,
Fractal encoding in a chaotic neural network
Physical Review E, 64 (2001) 046202:, 1-6.

I. Tsuda,
Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
Behavioral and Brain Sciences, 24(5) (2001), 793-847.

I. Tsuda and S. Kuroda,
Cantor coding in the hippocampus
Japan Journal of Industrial and Applied Mathematics, 18(2)(2001), 249-258.

I. Tsuda and M. Hatakeyama,
Making sense of internal logic
In The Sciences of Interface (eds. H. H. Diebner, T. Druckrey and P. Weibel, Genista Verlag, Tubingen,2001), 131-135.

1999

J.S. Nicolis and I. Tsuda,
Mathematical description of brain dynamics in perception and action
J. of Consciousness Studies, 6(1999), 215-228.

1998

I. Tsuda and A. Yamaguchi,
Singular-continuous nowhere-differentiable attractors in neural systems
Neural Networks, 11 (1998), 927-937; 12(1999), 203.

1997

Kentaro Goto, Akihiro Yamaguchi, Ichiro Tsuda
Examining the robustness of coupled map lattices against discretization
Int. J. Bifurcation Chaos, Vol. 7(7), 1679-1690 (1997)

I. Tsuda and K. Tadaki,
A logic-based dynamical theory for a genesis of biological threshold
BioSystems, 42(1997), 45-64.

I. Tsuda,
On the complexity of logic-dynamics in brain
in “Complexity and Diversity” (eds. E. R. Nakamura, K. Kudo, O. Yamakawa, and Y. Tamagawa, Springer-Verlag, Tokyo 1997), 37-45.

1996

I. Tsuda,
The form of chaos in the noisy brain can manifest function
Behavioral and Brain Sciences, 19(1996), 309.

I. Tsuda,
Linear Demon
in the Proc. of the 4th Int. Conf. on Soft Computing (Eds. T. Yamakawa and G. Matsumoto, World Scientific, 1996), 13-14.

I. Tsuda,
A new type of self-organization associated with chaotic dynamics in neural networks
Int. J. of Neural Systems, 7(1996), 451-459.

1995

O.E.Roessler, J.L.Hudson, C.Knudsen and I.Tsuda,
Nowhere-differentiable attractors
Int. J. of Intelligent Systems, 10(1995), 15-23.

1994

H.Okuda and I.Tsuda,
A coupled chaotic system with different time scales: Possible implications of observations by dynamical systems
Intl. J. of Bifurcation and Chaos, 4(1994), 1011-1022.

I.Tsuda, T.Hashimoto, A.Yamaguchi and K.Goto,
Some function of chaos in the cortex
in the Proc. of the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing, 1994)

I.Tsuda,
From micro-chaos to macro-chaos:chaos can survive even in macroscopic states of neural activities
PSYCOLOQUY, 5(12), eeg-chaos.3.tsuda.

K.Kaneko and I.Tsuda,
Constructive complexity and artificial reality: an introduction
Physica D, 75(1994), 1-10.

I.Tsuda,
Can stochastic renewal of maps be a model for cerebral cortex?
Physica D, 75(1994), 165-178.

I.Tsuda and G.Barna,
How can chaos be a cognitive processor?
“Towards the Harnessing of chaos”(ed. M.Yamaguti, Elsevier Science B.V., 1994), 47-61.

1993

I.Tsuda,
Dynamic binding theory is not plausible without chaotic oscillations
Behavioral and Brain Sciences, vol.6,no.3(1993), 475-476.

G.Barna and I.Tsuda,
A New Method for Computing the Lyapunov Exponents
Physics Letters A, 175(1993), 421-427.

1992

György Barna, Ichiro Tsuda
Chaos in the olfactory bulb
Proc. 4th Int. Symp. on Bioelectronic and Molecular Devices, R&D Association for Future Electron Devices, 19-20 (1992)

T.Ikegami and I.Tsuda,
Measuring complexity: a relative aspects of pattern recognition
International Journal of Modern Physics, 3(1992), 447-458.

I.Tsuda,
Chaotic Hermeneutics for understanding the Brain
Proc. of the International Symposium on Endophysics(eds. O.E.Roessler & G. Kampis, Ars Electronica, Austria, Linz, 1992).

I.Tsuda,
Nonlinear Dynamical Systems Theory and Engineering Neural Network: Can Each Afford Plausible Interpretation of ‘How’ and ‘What’?
(Open Peer Commentary on Robinson’s Paper) Behavioral and Brain sciences, 15(1992), 802-803.

I.Tsuda,
Dynamic link of memory– chaotic memory map in nonequilibrium neural networks
Neural Networks, 5(1992), 313-326; 5(1992), 857 (Errata).

I.Tsuda, T. Tahara and H.Iwanaga,
Chaotic pulsation in human capillary vessels and its dependence on mental and physical conditions
International J. of Bifurcation and Chaos, 2(1992), 313-324.

1991

I.Tsuda,
Chaotic itinerancy as a dynamical basis of Hermeneutics in brain and mind
World Futures, 32(1991), 167-184.

E.Koerner, K.Schichoff, I.Tsuda and H.Shimizu,
Dynamic inhibitory masking by means of compensation learning in neural networks
Neurocomputers and Attention”(eds. A.V. Holden and V.I. Kryukov Poc. of the International conference on Neurocomputers and attention, Manchester University Press), 309-317.

I.Tsuda,
Chaotic Neural Networks and Thesaurus
“Neurocomputers and Attention”(eds. A.V.Holden and V.I. Kryukov Poc.of the International conference on Neurocomputers and attention, Manchester University Press), 405-424.

1990

I.Tsuda,
Possible Biological and Cognitive Functions of Neural Networks Probabilistically Driven by an Influence of Probabilistic Release of Synaptic Vesicles
in the Proc. of the 12th Annual Int. IEEE/EMBS Conf.(1990.11, IEEE).

1989

John s. Nicolis and I.Tsuda,
On the parallel between Zipf’s law and 1/f processes in chaotic systems possessing coexisting attractors – a possible mechanism for language formation in the cerebral cortex
Prog.Theor.Phys., 82(1989), 254-274.

I.Tsuda and H.Nomura
‘Construction of the concept space by means of chaotic neural networks and its application to the natural language understanding (in Japanese, abstract in English),
Natural Language Processing 71- 5(1989)1-8

1988

I.Tsuda,
Chaotic dynamics in hifghly connected and fully plastic neural networks
in “Abstracts on the Int.Symposium on Fluctuation and Relaxation on Condenced Phase- disordered systems, fractals, and biological materials”(Kyoto,1988), 35-38.

I.Tsuda, E.Koerner, K.Scikkof and H.Shimizu
‘Compensation learning’ (in Japanese),
Technical Reports of Japan Society for Information and Electronics, NLP88-56(1988)15-19.

K.Matsumoto and I.Tsuda,
Calculation of information flow rate from mutual information
J.Phys.A:Math.Gen., 21(1988), 1405-1414.

S.Nakamura, H.Tanaka, H.Shimizu and I.Tsuda
‘A study of the process of pattern recognition with the experiment of eye movements ‘ (in Japanese),
Technical Reports of Japan Society for Information and Electronics MBE87-129 (1988)205-212.

1987

E.Koerner, I.Tsuda and H.Shimizu,
Parallel in sequence —towards the architecture of an elementary cortical processor
“Parallel Algorithms and Architectures”
(eds. A.Albrecht, H.Jung and H.Melhorn, Akademie Verlag, Berlin, 1987), 38-49.

I.Tsuda, E.Koerner and H.Shimizu,
Memory dynamics in asynchronous neural networks
Prog.Theor.Phys., 78(1987), 51-71.

K.Matsumoto and I.Tsuda,
Extended information in one-dimensional maps
Physica, 26D(1987), 347-357.

I.Tsuda, E.Koerner and H.Shimizu,
Towards memory dynamics in cortical neural circuits of mammalian brain – searchlight process and consolidation mechanism of memory
in Proceedings of seventh international conference on cybernetics, 7(1987), 480-483.

I.Tsuda, E.Koerner and H.Shimizu
‘Towards memory dynamics in cortical neural circuits of mammalian brain- searchlight process and consolidation mechanism of memory’,
in Proceedings of seventh international conference on cybernetics 7 (1987)480-483.

1986

I.Tsuda and H.Shimizu
‘Towards the network representation of the Hermeneutic process’(in Japanese),
Technical Reports of Japan Society for Electronics and Communications MBE85-110(1986) 253-259.

1985

K.Matsumoto and I.Tsuda,
Information theoretical approach to noisy dynamics
J.Phys.A:Math.Gen., 18(1985), 3561-3566.

I.Tsuda and H.Shimizu,
Self-organization of the dynamical channel
in “Complex Systems- Operational Approaches”(ed. H.Haken,Proceedings of the International Symposium on Synergetics, Springer-Verlag, 1985), 240-251.

H.Shimizu, Y.Yamaguchi, M.Yano and I.Tsuda,
Pattern recognition based on holonic information dynamics: Towards synergetic computers
in “Complex Systems- Operational Approaches” (ed. H.Haken, Proceedings of the International Symposium on Synergetics, Springer-Verlag, 1985), 225-239.

John S.Nicolis and I.Tsuda,
Chaotic dynamics of information processing: The magic number seven plus-minus two revisited
Bulletin of Mathematical Biology, 47(1985), 343-365.

1984

K.Matsumoto and I.Tsuda,
Noise-induced order -The information mixing-
in “The Theory of Dynamical Systems and Its Applications to Nonlinear Problems”
(ed. H.Kawakami, Proceedings of the International Symposium, World Scientific, 1984), 170-180.

I.Tsuda and K.Matsumoto,
Noise-induced order-Complexity theoretical digression
Chaos and Statistical Methods(ed. Y.Kuramoto, Proceedings of the Sixth Kyoto Summer Institute, Springer-Verlag, 1984), pp.102-108.

I.Tsuda and H.Shimizu
Chaos and information in living systems (in Japanese),
Technical Reports of Japan Society for Electronics and Communications CAS84-163 (1984)9-16.

I.Tsuda,
A hermeneutic process of the brain
Prog.Theor.Phys., suppl.79(1984), 241-259.

1983

K.Matsumoto and I.Tsuda,
Noise-induced order,
J.Stat.Phys., 31(1983), 87-106.

1982

I.Tsuda
Chaos and Bifurcation Structures in Nonlinear and Nonequilibrium Systems’(in Japanese),
(PhD Thesis, Kyoto University,1982.11.24) 213 pages.

1981

I.Tsuda,
On the abnormality of period doubling bifurcations – in connection with the bifurcation structure in the Belousov-Zhabotinsky reaction system -
Prog.Theor.Phys., 66(1981), 1985-2002.

I.Tsuda,
Self-similarity in the Belousov-Zhabotinsky reaction
Phy.Lett., 85A(1981), 4-8.

I.Tsuda,
Multi-time expansion and universality in one- dimensional difference equation
Prog.Theor.Phys., 66(1981), 1086-1088.

I.Tsuda and K.Tomita,
Chaos in the Belousov-Zhabotinsky reaction
“Nonequilibrium Statistical Physics Problems in Fusion Plasmas-stochasticity and chaos-” (Proceedings of the US-Japan Workshop, 1981), 131-137.

1980

K.Tomita and I.Tsuda,
Towards the interpretation of the global bifurcation structure of the Lorenz system
Prog.Theor.Phys., Suppl.69(1980), 185-199.

K.Tomita and I.Tsuda,
Towards the interpretation of Hudson’s experiment on the Belousov-Zhabotinsky reaction – chaos due to delocalization
Prog.Theor.Phys., 64(1980), 1138-1160.

1979

K.Tomita and I.Tsuda,
Chaos in the Belousov-Zhabotinsky reaction in a flow system,
Phys.Lett., 71A(1979), 489-492.