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’Ë“c@–«@i‹Êì‘åŠwEHŠw•”j
  1. Aihara T, Tsukada M, Matsuda H: Two dynamic processes for the induction of long-term potentiation in hippocampal CA1 area. Biol Cybern 82: 189-195, 2000


  2. Matsuda H, Tsukada M: Chaotic stimulus dependent long-term potentiation in the hippocampal CA1 area. Biosystems 58: 273-279, 2000


  3. Takahashi S, Kobayashi Y, Aihara T, Tsukada M: Blind separation of neural activity from optical imaging data. Brain Neural Netw 8: 3-12, 2001


  4. Kobayashi Y, Shimazaki H, Aihara T, Tsukada M: Spatial distributions of hippocampal LTP/LTD induced electrically from schaffercollaterals and stratum oriens with relative timing. Brain Neural Netw 8: 57-64, 2001


  5. Takahashi S, Sakurai Y, Tsukada M, Anzai Y: Classification of neuronal activities from tetrode recordings using independent component analysis. Neurocomputing 49: 289-298, 2002


  6. Aihara T, Abiru Y, Kashiwagi Y, Yamazaki Y, Tsukada M: Ca2+ influx during the induction of the spike-timing dependent plasticity in the hippocampal CA1 network. Neurosci Res 46(s-1): 165, 2003


  7. Tsukada M: The Spatiotemporal learning rule and its efficiency in separating spatiotemporal patterns. Biol Cybern 92: 139-146, 2005


  8. Aihara T, Kobayasi Y, Tsukada M: Spatiotemporal visualization of long-term potentiation and depression in the hippocampal CA1 area. Hippocampus 15: 68-78, 2005


  9. Tsukada M: Spatial analisis of spike-timing-dependent LTP and LTD in the CA1 area of hippocampal slices using optional imaging. Hippocampus 15: 104-109, 2005


  10. Miyazaki T, Okanda M, Yamamoto J, Sasaki H, Tsukada M, Anzai Y: Optical recording of classical conditioning induced plastic changes in the auditory cortex. Brain Neural Netw 12: 11-16, 2005


  11. Miyazaki T, Suzuki R, Sandner G, Tsukada M, Anzai Y: Optical recording of hippocampal stimulus intensity dependent responses to a sound in the auditory cortex. Brain Neural Netw 12: 32-38, 2005


‡Œ´ˆêKi“Œ‹ž‘åŠwE¶ŽY‹ZpŒ¤‹†Šj
  1. Masuda N, Aihara K: Self-organizing dual coding based on spike-time-dependent plasticity. Neural Comput 16: 627-663, 2004


  2. Masuda N, Aihara K: Global and local synchrony of coupled neurons in small-world networks. Biol Cybern 90: 302-309, 2004


  3. Hamaguchi K, Aihara K: Quantitative information transfer through layers of spiking neurons connected by Mexican-Hat-type connectigvity. Neurocomputing 58: 85-90, 2004


  4. Masuda N, Aihara K: Dual coding and effects of global feedback in multilayered. Neural Netw Neurocomput 58: 233-239, 2004


  5. Okamoto T, Watanabe M, Aihara K, Kondo S: An explanation of contextual modulation by short-range isotropic connections and orientation map geometry in the primary visual cortex. Biol Cybern 91: 396-407, 2004


  6. Morita K, Aihara K: Possible effects of depolarizing GABAA conductance on the neuronal input-output relationship: A modeling study. J Neurophysiol 93: 3504-3523, 2005


  7. Morita K, Aihara K: A network model with pyramidal cells and GABAergic non-FS cells in the cerebral cortex, Neurocomputing 65/66: 697-707, 2005


  8. Tanaka H, Aihara K: Analysis of the Hodgkin-Huxley equations with noise: the effects of noise on chaotic neurodynamics. Artificial Life Robotics 8: 190-196, 2004


’Óc@ˆê˜Y@i–kŠC“¹‘åŠwE‘åŠw‰@—ŠwŒ¤‹†‰Èj
  1. Tsuda I, Hatakeyama M: Making sense of internal logic. The Sciences of Interface 131-135, 2001


  2. Tsuda I, Kuroda S: Cantor coding in the hippocampus. Jpn J Indust Appl Math 18: 249-258.2001


  3. Tsuda I: Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems, Behav Brain Sci 24: 793-847, 2001


  4. Ryeu JK, Aihara K, Tsuda I: Fractal encoding in a chaotic neural network. Phys Rev E 64: 046202:1-6, 2001


  5. Erdi P, Tsuda I: Hermeneutic approach to the brain-process versus device. Theoria et Historia Scientiarum VI: 307-321, 2002


Â–ö•xŽ¶i‹ž“s‘åŠwE‘åŠw‰@î•ñŠwŒ¤‹†‰Èj
  1. Nomura M, Fukai T, Aoyagi T: Synchrony of fast-spiking interneurons interconnected by GABAergic and electrical synapses. Neural Comput 15: 2179-2198, 2003


  2. Aoyagi T, Takekawa T, Fukai T: Gamma rhythmic bursts: Coherence control in networks of cortical pyramidal Neurons. Neural Comput 15: 1035-1061, 2003


  3. Nomura M, Aoyagi T, Okada M: Two-level hierarchy with sparsely and temporally coded patterns. Neural Netw 16: 947-954, 2003


  4. Cateau H, Fukai T: A stochastic method to predict the consequence of arbitrary forms of spik timing-dependent plasticity. Neural Comput 15: 597-620, 2003


  5. Aoyagi T, Aoki T: Possible role of synchronous input spike trains in controlling function of neural networks. Neurocomputing 58-60: 259-264, 2004


  6. Nomura M, Fukai T, Aoyagi T: Gamma frequency synchronization in a local cortical network model. Neurocomputing 58-60: 173-178, 2004


  7. Takekawa T, Aoyagi T, Fukai T: Influences of synaptic locations on the synchronization through rhythmic bursting. Network: Computation in Neural Systems 15: 1-12,2004


  8. Kitano K, Fukai T: Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticity. Learning Memory 11: 267-276, 2004


r–؁@C@i“Œ‹ž—‰È‘åŠwE—Šw•”j
  1. Araki O, Aihara K: Relationship between spike irregularity and Neural Networkdynamics. Proceedings of International Conference on Neural Information Processing: 566-570, 2002


  2. Kanno Y, Ikeguchi T: Nonliner prediction on maximum timings of complex time series. Proceedings of International Conference on Neural Information Processing: 2350-2353, 2002


  3. Hasegawa M, Ikeguchi T, Aihara K, Itoh K: A novel chaotic search for quadratic assignment problems. Eur J Oper Res 139: 543-556, 2002


  4. Hasegawa M, Ikeguchi T, Aihara K: Solving large scale traveling salesman problems by chaotic neurodynamics. Neural Netw 15: 71-283, 2002


  5. Hasegawa M, Ikeguchi T: An analysis of the internet traffic by the method of surrogate data. Proceedings of 2002 IEEE International Symposium on Circuits and Systems 3: 99-602, 2002


  6. Uwate Y, Nishio Y, Ueta T, Kawabe T, Ikeguchi T: Solving ability of hopfield neural networkwith chaotic noise and burst noise for quaratic assignment problem. Proceedings of 2002 IEEE International Symposium on Circuits and Systems 3: 465-468, 2002


  7. Ikeguchi T, Sato K, Hasegawa M, Aihara K: Chaotic optimization for quaratic assignment problems. Proceedings of 2002 IEEE International Symposium on Circuits and Systems 3: 469-472, 2002


  8. Ikeguchi T, Hasegawa M: Surrogate analysis on the internet traffic time series. Proceeding of 2002 International Symposium on Nonlinear Theory and its Applications: 25-28, 2002


  9. Kanno Y, Ikeguchi T, Uchida A: Application of nonlinear modeling methods for event sizes and event timings.Proceeding of 2002 International Symposium on Nonlinear Theory and its Applications: 243-246, 2002


  10. Suzuki T, Ikeguchi T, Suzuki M: Multivariable modeling of complex behavior of foreign exchange market. Proceedings of the Second Nikkei Econophysics Research Workshop and Symposium 1: 81-82, 2002


  11. Hosaka R, Sakai Y, Ikeguchi T, Yoshizawa S: Statistical analysis on BVP equations stimulated by white, colored and chaotic noises. Proceedings of the Seventh International Symposium on Artificial Life and Robotics (AROB 7th '02) 1: 112-115, 2002


  12. Uwate Y, Nishio Y, Ueta T, Kawabe T, Ikeguchi T: Performance of chaos noise injected to hopfield NN for quadratic assignment problems. Proceeding of 2002 International Symposium on Nonlinear Theory and its Applications 67-270, 2002


  13. Suzuki T, Ikeguchi T, Suzuki M: On the evaluation of noise levels for quantized data, Int J Modern Physics C 14: 363-1383, 2003


  14. Mardhana E, Ikeguchi T: A program library for neural networkdriven search meta-heuristics. Proceedings of The IEEE 2003 International Symposium on Circuit and Systems (ISCAS2003), NEUROSEARCHV: 697-700, 2003


  15. Hayashi T, Araki O, Ikeguchi T: Different inhibitory effects by dopaminergic modulation and global suppression of activity. Proceedings of International Joint Conference on Neural Networks 2563-2568, 2003


  16. Suzuki T, Ikeguchi T, Suzuki M: Multivariable nonlinear analysis of foreign exchange rates. Physica A 323: 591-600, 2003


”Ñ“‡@•q•v@i“Œ–k‘åŠwE‘åŠw‰@¶–½‰ÈŠwŒ¤‹†‰Èj
  1. Kondo Y, Suzuki M, Mugikura S, Abe N, Takahashi S, Iijima T, Fujii T: Changes in brain activation associated with use of a memory strategy: a functional MRI study. Neuroimage 24: 1154-1163, 2005


  2. Takashima I, Kajiwara R, Iijima T: Voltage-sensitive dye imaging of intervibrissal fur-evoked activity in the rat somatosensory cortex. Neurosci Lett 381: 258-263, 2005


ˆÉ“¡@_”V@i‹ž“sŽY‹Æ‘åŠwEHŠw•”j
  1. Ito H, Tsuji S: Model dependence in quantification of spike interdependence by joint peri-stimulus time histogram. Neural Comput 12: 195-217, 2000


  2. Hirata A, Maldonado PE, Gray CM, Ito H: Unitary event analysis of synchronous activities in cat LGN. A supplemental issue for the 12th Keio University International Symposium for Life Sciences and Medicine. Keio J Med 51 suppl 1: 2002


‘åX@—²Ži@i–kŠC“¹‘åŠwE‘åŠw‰@HŠwŒ¤‹†‰Èj
  1. Okada H, Yamakawa H, Omori T: Two dimensional evaluation reinforcement learning. 6th International Work-Conference on Artificial and Natural Neural Networks (IWANN 2001): 370-377, 2001


  2. Matsuda G, Omori T: Learning of joint visual attention by reinforcement learning. International Conference on Cognitive Modeling157-162, 2001


  3. Ogawa A, Omori T: The acquisition of space search procedure depending on agent structure. Proc ISHF 2001 210-215, 2001


  4. Omori T, Ogawa A: Model of symbolic looking procedure acquisition Process in navigation learning task. Epigenetic Robotics 2001


  5. Hara K, Omori T, Ueno R: Detection of Unusual Human Behavior in Intelligent House. Neural Networks for Signal Processing XII\Proceedings of the 2002 IEEE Signal Processing Society Workshop\ pp697-706, 2002


•ÐŽR@“—T@i“Œ–k‘åŠwE‘åŠw‰@î•ñ‰ÈŠwŒ¤‹†‰Èj
  1. Karashima A, Nakamura K, Sato N, Nakao M, Katayama N, Yamamoto M: Phase-locking of spontaneous and elicited ponto-geniculo-occipital waves is associated with acceleration of hippocampal theta waves during rapid eye movement sleep in cats. Brain Res 958: 347-358, 2002


  2. Karashima A, Nakaura K, Horiuchi M, Nakao M, Katayama N, Yamamoto M: Elicited ponto-genculo-occipital waves by auditory stimuli are synchronized with hippocampal theta-waves. Psychiat Clin Neurosci 56: 343-344, 2002


  3. Kitahara R, Yamamoto M, Katayama N, Nakao M, Hattori M, Ueno T: A facial topographic profile of rapid eye movements anticipatory phasic potentials (RAPPs). Sleep Biol Rhythms 1: 151-152, 2003


  4. Yamamoto M, Katayama N, Nakao M, Kitahara R, Ueno T, Takeuchi I, Ohki N: A real-time REM sleep analyzer equipped with a portable wide-band polygraphic recorder. Sleep Biol Rhythms 1: 175-177, 2003


  5. Iwasaki N, Karashima A, Nakao M, Katayama N, Yamamoto M: Changes in the dynamics of sleep electroencephalogram in rat barrel cortex associated with long-term sensory deprivation. Sleep Biol Rhythms 1: 155-157, 2003


  6. Katayama N, Sakamoto K, Nakao M, Yamamoto M: Noise-induced metastability in the Hodgkin-Huxley neural network, Proc. NOLTA 505-508, 2004


  7. Karashima A, Nakao M, Honda K, Iwasaki N, Katayama N, Yamamoto M: Theta wave amplitude and freqeuncy are differently correlated with pontine wave and rapid eye movements during REM sleep in rats. Neurosci Res 50: 283-289, 2004


  8. Iwasaki N, Karashima A, Tamakawa Y, Katayama N, Nakao M: Sleep EEG dynamics in rat barrel cortex associated with sensory deprivation. NeuroReport 15: 2681-2684, 2004


–k–쏟‘¥i—§–½ŠÙ‘åŠwEî•ñ—HŠw•”j
  1. Siu K, Katsunori K, Fukai T: Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons. Neural Netw 17: 307-312, 2004


  2. Kitano K, Fukai T: Temporal characteristics of the predictive synchronous firing emergent from spike-timing-dependent plasticity. Learning Memory 11: 267-276, 2004


  3. Takekawa T, Aoyagi T, Fukai T: Influences of synaptic locations on the synchronization through rhythmic bursting. Network: Computation in Neural Systems 15: 1-12, 2004


  4. Aoyagi T, Aoki T: Possible role of synchronous input spike trains in controlling function of neural networks, Neurocomputing 58-60: 259-264, 2004


  5. Nomura M, Fukai T, Aoyagi TFGamma frequency synchronization in a local cortical network model. Neurocomputing 58-60: 173-178, 2004


  6. Nomura M, Aoyagi T: Stability of synchronous solutions in weakly coupled neuron networks. Prog Theor Phys 113: 911-925, 2005


¬’r@N°@i“Œ‹žH‹Æ‘åŠwE¸–§HŠwŒ¤‹†Šj
  1. Mitsui C, Sakai K, Ninomiya T, Koike T: Involvement of TLCK-sensitive serine protease in colchicine-induced cell death of sympathetic neurons in culture. J Neurosci Res 66: 601-611, 2001


  2. Saitoh T, Tanaka S, Koike T: Rapid unduction and Ca(2+) influx-mediated suppression of vitamin D3 up-regulated rotain 1 (VDUP1) mRNA in cerebellar granule neurons undergoing apoptosis. J Neurochem 78: 1267-1276, 2001


  3. Tanaka S, Koike T: Activation of protein kinase C delays apoptosis of nerve growth factor-deprived rat sympathetic neurons through a Ca(2+)-influx dependent mechanism. Neurosci Lett 313: 9-12, 2001


  4. Kaya N, Tanaka S, Koike T: ATP selectively suppresses the synthesis of the inflammatory protein microglial response factor (MRF)-1 through Ca(2+) influx via P2X(7) receptors in cultured microglia, Brain Res 952: 86-97, 2002


  5. Tanaka S, Koike T: Selective inflammatory stimulations enhance release of microglial response factor (MRF)-1 from cultured microglia. Glia 40: 360-371, 2002


Žðˆä@—T@ié‹Ê‘åŠwEHŠw•”j
  1. Sakai Y: Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons. Neural Netw 14: 1145-1152, 2001


  2. Sakai Y: Spike independency in feed-forward networks. Biosystems 67: 221-227, 2002


  3. Shinomoto S, Sakai Y, Ohno H: Recording site dependence of the neuronal spiking statistics. Biosystems 67: 259-263, 2002


  4. Amari S, Nakahara H, Wu S, Sakai Y: Synchronous firing and higher-order interactions in neuron pool. Neural Comput 15: 127-142, 2003


  5. Sakai Y, Nakano K, Yoshizawa S: Synaptic regulation on various stdp rules. Neurocomputing 58-60: 351-357, 2004


ŽÂ–{@Ž @i‹ž“s‘åŠwE‘åŠw‰@—ŠwŒ¤‹†‰Èj
  1. Shinomoto S, Sakai Y, Ohno H: Recording site dependence of neuronal spiking characteristics. Biosystems 67: 259-263, 2002


  2. Shinomoto S, Shima K, Tanji J: New classification scheme of cortical sites with the neuronal spiking characteristics. Neural Netw 15: 1165-1169, 2002


  3. Miyazaki Y, Kinzel W, Shinomoto S: Learning of time series through neuron-to-neuron instruction. J Physics A 36: 1315-1322, 2003


  4. Shinomoto S, Shima K, Tanji J: Differences in spiking patterns among cortical neurons. Neural Comput 15: 2823-2842, 2003


  5. Tsubo Y, Kaneko T, Shinomoto S: Predicting spike timings of current-injected neurons. Neural Netw 17: 165-173, 2004


  6. Koyama S, Shinomoto S: Histogram bin-width selection for time-dependent point processes. J Physics A 37: 7255-7265, 2004


  7. Shinomoto S, Miura K, Koyama S: A measure of local variation of inter-spike intervals. Biosystems 79: 67-72, 2005


  8. Shinomoto S, Miyazaki Y, Tamura H, Fujita I: Regional and laminar differences in in vivo firing patterns of primate cortical neurons. J Neurophysiol 94: 567-575, 2005


  9. Kobayashi R, Miyazaki Y, Shinomoto S: Faithful and unfaithful students in time series learning. IMA J Appl in press


  10. Koyama S, Shinomoto S: Empirical Bayes interpretations of random point events. J Physics A in press


“c’†@¹Ži @iã’q‘åŠwE—HŠw•”j
  1. Tanaka S: Roles of intracortical inhibition in the formation of spatially tuned delay-period activity of prefrontal neurons: computational study. Prog Neuro-Psychopharmcol Biol Psychiat 24: 483-504, 2000


  2. Tanaka S: Post-cue activity of prefrontal cortical neurons controlled by local inhibition. Neurocomputing 32-33: 563-572, 2000


  3. Tanaka S, Yoshida A: Signal flow in a prefrontal cortical circuit model for working memory loading. Neurocomputing 38/40: 957-964, 2001


  4. Iida M, Tanaka S: Postsynaptic current analysis of a model prefrontal cortical circuit for multi-target spatial working memory. Neurocomputing 44-46: 855-861, 2002


  5. Morooka K, Tanaka S: Correlation analysis of signal flow in a model prefrontal cortical circuit representing multiple target locations. Neurocomputing 44-46: 541-548, 2002


  6. Tanaka S: Dopamine controls fundamental cognitive operations of multi-target spatial working memory. Neural Netw 15: 573-582, 2002


  7. Tanaka S: Multi-directional representation of spatial working memory in a model prefrontal cortical circuit. Neurocomputing 44-46: 1001-1008, 2002


  8. Yamashita K, Tanaka S: Circuit simulation of memory field modulation by dopamine D1 receptor activation. Neurocomputing 44-46: 1035-1042, 2002


  9. Miyashita S, Tabuchi Y, Tanaka S: Cortico-thalamocortical operations of multi-target spatial working memory. Neurocomputing 52-54: 327-333, 2003


  10. Tabuchi Y, Tanaka S: Intracortical vs. thalamocortical processing of spatial working memory. Neurocomputing 52-54: 403-409, 2003


  11. Tanaka S: A prefronto-parietal network model with feedforward and feedback connections. Neurocomputing 52-54: 943-948, 2003


  12. Yamashita K, Tanaka S: Circuit properties of the cortico-mesocortical system. Neurocomputing 52-54: 969-975, 2003


’†Œ´@—T”V@i“Æ—§s­–@l—‰»ŠwŒ¤‹†ŠE”]”—Œ¤‹†ƒ`[ƒ€j
  1. Nakahara H, Wu S, Amari S: Attention modulation of neural tuning through peak and base rate. Neural Comput 13: 2031-2047, 2001


  2. Wu S, Nakahara H, Amari S: Population coding with correlation and an unfaithful model. Neural Comput13: 775-797, 2001


  3. Nakahara H, Doya K, Hikosaka O: Parallel cortico-basal ganglia mechanisms for acquisition and execution of visuomotor sequences: A computational approach. J Cogn Neurosci 13: 626-647, 2001


  4. Nakahara H, Amari S: Information geometric measure for neural spikes. Neural Comput 14: 2269-2316, 2002


  5. Wu S, Amari S, Nakahara H: Asymptotic behaviors of population codes. Neurocomputing 44-46: 697-702, 2002


  6. Wu S, Amari S, Nakahara H: Population coding and decoding in a neural field: A computational study. Neural Comput 14: 999-1026, 2002


  7. Takikawa Y, Kawagoe R, Ito H, Nakahara H, Hikosaka O: Modulation of saccadic eye movements by predicted reward outcome. Exp Brain Res 42: 284-291, 2002


  8. Nakahara H, Amari S, Hikosaka O: Self-organization in the basal ganglia with modulation of reinforcement signals. Neural Comput 14: 819-844, 2002


  9. Nakahara H, Amari S: Attention modulation of neural tuning through peak and base rate in correlated firing. Neural Netw 15: 41-55, 2002


  10. Nakahara H, Nishimura S, Inoue M, Hori G, Amari S: Gene interaction in DNA microarray data is decomposed by information geometric measure. Bioinformatics 19: 1124-1131, 2003


  11. Itoh H, Nakahara H, Hikosaka O, Kawagoe R, Takikawa Y, Aihara K: Correlation of primate caudate neural activity and saccade parameters in reward-oriented behavior. J Neurophysiol 89: 1774-1783, 2003


  12. Amari S, Nakahara H, Wu S, Sakai Y: Synchronous firing and higher-order interactions in neuron pool. Neural Comput 15: 127-142, 2003


  13. Inoue M, Nishimura S, Hori G, Nakahara H, Saito M, Yoshihara Y, Amari S: Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data. J Bioinform Comput Biol 2: 669-679, 2004


  14. Wu S, Amari S, Nakahara H: Information processing in a neuron ensemble with the multiplicative correlation structure. Neural Netw 17: 205-214, 2004


  15. Nakahara H, Itoh H, Kawagoe R, Takikawa Y, Hikosaka O: Dopamine neurons can represent context-dependent prediction error. Neuron 41: 269-280, 2004


  16. Nelson B, Nishimura S, Kanuka H, Kuranaga E, Inoue M, Hori G, Nakahara H, Miura M: Isolation of gene sets affected specifically by polyglutamine expression: implication of the TOR signaling pathway in neurodegeneraton. Cell Death Differ 12: 1115-1123, 2005


  17. Amari S, Nakahara H: Difficulty of singularity in population coding. Neural Comput 17: 839-858, 2005


  18. Bissmarck F, Nakahara H, Doya K, Hikosaka O: Responding to modalities with different latencies. Adv Neural Information Processing in press


’†‘º@´•F@i“Œ‹žH‹Æ‘åŠwE‘åŠw‰@‘‡—HŠwŒ¤‹†‰Èj
  1. Oode S, Murakoshi K, Nakamura K: Analysis of the reliability and precision of spike timing by a single model Neuron. Systems and Computers in Japan 31: 2402-2411, 2000


  2. Tsunoda Y, Nakamura K: Change in saccadic reaction time due to the presentation of the cue of target information. Proceedings of International Conference on Neural Information Processing 3: 1564-1568, 2002


—с@‰’j@i‹ãBH‹Æ‘åŠwE‘åŠw‰@¶–½‘̍HŠwŒ¤‹†‰Èj
  1. Yoshida M, Hayashi H, Tateno K, Ishizuka S: Stochastic resonance in the hippocampal CA3-CA1 model, A possible memory recall mechanism. Neural Netw 15: 1171-1183, 2002


  2. Nakashima K, Takahashi K, Ishizuka S, Hayashi H: Nonlinear responses of potentiated hippocampal slices to mossy fiber stimulation. Proceedings of the International Symposium on Nonlinear Theory and its Applications 311-314, 2002


  3. Yoshida M, Hayashi H: Regulation of spontaneous rhythmic activity and preserved stimulus dependent pattern by STDP in the hippocampal CA3 model. Proceedings of the International Conference on Neural Information Processing 1: 367-371, 2002


  4. Yoshida M, Hayashi H: Organization of spatiotemporal activity through STDP as a mechanism for coding temporal sequences in the hippocampal model. WSEAS Transactions on Biology and Biomedicine 1: 30-35, 2004


  5. Yoshida M, Hayashi H: Regulation of spontaneous rhythmic activity and organization of pacemakers as memory traces by STDP in the hippocampal CA3 model. Phys Rev E 69: 1-15, 2004


  6. Tateno K, Tomonari H, Hayashi H, Ishizuka S: Phase dependent transition between multi-stable states in a Neural Networkwith reciprocal inhibition. Int J Bifurc Chaos 14: 1559-1575, 2004


  7. Tateno K, Hashimoto T, Ishizuka S, Nakashima K, Hayashi H: Theta rhythm selection of a dentate gyrus network model. Proceedings of the International Joint Conference on Neural Networks, 2004


  8. Yoshida M, Hayashi H: Organization of cell assemblies that code temporal sequences in a hippocampal CA3-CA1 model. Proceedings of the International Joint Conference on Neural Networks, 495-500, 2004


  9. Hayashi H, Yoshida M: A memory model based on the dynamical behavior of the hippocampus.Proceedings of the International Conference on Knowledge-Based Intelligent Information and Engineering Systems. Part 1, 967-973, 2004


  10. Ishizuka S, Nakashima K, Tateno K, Hayashi H: Selective communication and a band-pass filter in the rat dentate gyrus. International Congress Series 1269: 77-80, 2004


  11. Hayashi H, Yoshida M: A memory model of the hippocampus for the foundations of brain-inspired information technology. International Congress Series1269: 109-112, 2004


  12. Tateno K, Hayashi H, Ishizuka S: Signal generation and selection in a neural network model. International Congress Series1269: 117-120, 2004


  13. Tateno K, Hayashi H, Nakashima K, Ishizuka S: Theta rhythm selection in the dentate gyrus: Experiments and simulation. Proceedings of the International Symposium on Nonlinear Theory and its Applications 219-222, 2004


•½“c@–L@i’†•”‘åŠwEHŠw•”j
  1. Hirata Y, Highstein SM: Acute adaptation of the vestibuloocular reflex: signal processing by floccular and ventral parafloccular Purkinje cells. J Neurophysiol 85: 2267-2288, 2001


  2. Hirata YCLockard JM, Highstein SM: Capacity of vertical VOR adaptation in squirrel monkey. J Neurophysiol 88: 3194-3208, 2002


  3. Hirata Y, Highstein SM: Plasticity in the vertical VOR: A system identification approach to localizing the adaptive sites. Ann NY Acad Sci 978: 480-495, 2002


  4. Hirata Y, Takeuchi I, Highstein SM: A dynamic model for the vertical vestibuloocular reflex and optokinetic response in primate. Neurocomputing 52-54: 531-540, 2003


  5. Blazquez PM, Hirata Y, Heiney S, Green A, Highstein SM: Cerebellar signatures of VOR motor learning. J Neurosci 23: 9742-9751, 2003


•Ÿ“‡@‹e˜Y@i–kŠC“¹‘åŠwE‘åŠw‰@ˆãŠwŒ¤‹†‰ÈE‘Ì‹@”\ŠwêU“‡¶—ŠwuÀj
  1. Fukushima K, Fukushima J, Yamanobe T, Shinmei Y, Kurkin S: Adaptive eye movements induced by cross-axis pursuit-vestibular interactions in trained monkeys. Acta Oto-laryngol Suppl 545: 73-79, 2001


  2. Fukushima K, Wells SG, Takeichi N, Yamanobe T, Fukushima J: Adaptive changes in smooth pursuit eye movement induced by pursuit-vestibular interaction training in monkeys. Exp Brain Res 139: 473-481, 2001


  3. Shinmei Y, Yamanobe T, Fukushima J, Fukushima K: Purkinje cells of the cerebellar dorsal vermis in the monkey: simple-spike activity during pursuit and passive whole body rotation. J Neurophysiol 87: 1836-1849, 2002


  4. Honke K, Hirahara Y, Dupree J, Suzuki K, Popko B, Fukushima K, Fukushima J, Nagasawa T, Yoshida N, Wada Y, Taniguchi N: Paranodal junction formation and spermatogenesis require sulfoglicolipids. Proc Natl Acad Sci USA 99: 4227-4232, 2002


  5. Fukushima K, Yamanobe T, Shinmei Y, Fukushima J: Predictive responses of peri-arcuate pursuit neurons to visual target motion. Exp Brain Res 145: 104-120, 2002


  6. Fukushima K, Yamanobe T, Shinmei Y, Fukushima J, Kurkin S, Peterson BW: Coding of smooth eye movements in three-dimensional space by frontal cortex. Nature 419: 157-162, 2002


  7. Chin S, Fukushima K, Fukushima J, Kase M, Ohno S: Ocular torsion produced by unilateral chemical deactivation of the cerebellar flocculus in alert cats. Curr Eye Res 25: 133-138, 2002


  8. Takeichi N, Fukushima J, Kurkin S, Yamanobe T, Shinmei Y, Fukushima K: Directional asymmetry in smooth ocular tracking in the presence of visual background in young and adult primates. Exp Brain Res 149: 380-390, 2003


  9. Yabe I, Sasaki H, Takeichi N, Takei A, Hamada T, Fukushima K, Tashiro K: Positional vertigo and macroscopic downbeat positioning nystagmus in spinocerebellar ataxia type 6 (SCA6). J Neurol 250: 440-443, 2003


  10. Fukushima J, Akao T, Takeichi N, Kaneko CRS, Fukushima K: Involvement of the frontal oculomotor areas in developmental compensation for the directional asymmetry in smooth pursuit eye movements in young primates. Ann NY Acad Sci 1004: 451-456, 2003


  11. Kurkin S, Takeichi N, Akao T, Sato F, Fukushima J, Kaneko CRS, Fukushima K: Neurons in the caudal frontal eye fields of monkeys signal three-dimensional tracking. Ann NY Acad Sci 1004: 262-270, 2003


  12. Fukushima K: Roles of the cerebellum in pursuit-vestibular interactions. Cerebellum 2: 23-232, 2003


  13. Sato F, Akao T, Kurkin S, Fukushima J, Fukushima K: Adaptive changes in vergence eye movements induced by vergence-vestibular interaction training in monkeys. Exp Brain Res 156: 164-173, 2004


  14. Fukushima J, Akao T, Takeichi N, KurkinS, Kaneko CRS, Fukushima K: Pursuit-related Neurons in the supplementary eye fields, discharge during pursuit and passive whole bodyrotation. J Neurophysiol 91: 2809-2825, 2004


  15. Akao T, KurkinS, Fukushima K: Latency of adaptive vergence eye movements induced by vergence-vestibular interaction training in monkeys. Exp Brain Res 158: 129-132, 2004


  16. Miyamoto T, Fukushima K, Takada T, de Waele C, Vidal P-P: Saccular projections in the human cerebral cortex. Ann NY Acad Sci 1039: 124-131, 2005


  17. Akao T, Mustari MJ, Fukushima J, KurkinS, Fukushima K: Discharge characteristics of pursuit Neurons in MST during vergence eye movements. J Neurophysiol 93: 2415-2434, 2005


  18. Akao T, KurkinS, Fukushima J, Fukushima K: Visual and vergence eye movement related responses of pursuit Neurons in the caudal frontal eye fields to motion-in-depth stimuli. Exp Brain Res 164: 92-108, 2005


  19. Fukushima K, Akao T, KurkinS, Fukushima J: Role of vestibular signals in the caudal part of the frontal eye fields in pursuit eye movements in three-dimensional space. Ann NY Acad Sci 1039: 272-282, 2005


  20. Fukushima J, Tanaka S, Williams JD, Fukushima K: Voluntary control of saccadic and smooth pursuit eye movements in children with learning disorders. Brain Dev in press


  21. Tsubuku T, Akao T, Kurkin SA, Fukushima K: Predictive smooth pursuit eye movements induced by vestibular input in trained monkeys. Exp Brain Res in press


“¹ì@‹MÍ@i“Œ‹ž‘åŠwEˆã‰ÈŠwŒ¤‹†Šj
  1. Bosanac I, Alattia JR, Mal TK, Chan J, Talarico S, Tong FK, Tong KI, Yoshikawa F, Furuichi T, Iwai M, Michikawa T, Mikoshiba K, Ikura M: Structure of the inositol 1,4,5-trisphosphate receptor binding core in complex with IP3. Nature 420: 696-700, 2002


  2. Uchida K, Miyauchi H, Furuichi T, Michikawa T, Mikoshiba K: Critical regions for activation gating of inositol 1,4,5-trisphosphate receptor. J Biol Chem 278: 16551-16560, 2003


  3. Hisatsune C, Kuroda Y, Nakamura K, Inoue T, Nakamura T, Michikawa T, Mizutani A, Mikoshiba K: Regulation of TRPC6 channel activity by tyrosine phosphorylation. J Biol Chem 279: 18887-18894, 2004


  4. Hattori M, Suzuki AZ, Higo T, Miyauchi H, Michikawa T, Nakamura T, Mikoshiba K: Distinct roles of inositol 1,4,5-trisphosphate receptor type 1 and 3 in Ca2+ signaling. J Biol Chem 279: 11967-11975, 2004


  5. Nakayama T, Hattori M, Uchida K, Nakamura T, Tateishi Y, Bannai H, Iwai M, Michikawa T, Inoue T, Mikoshiba, K: The regulatory domain of the inositol 1,4,5-trisphosphate receptor is necessary to maintain the channel domain closed. Biochem J 377: 299-307, 2004


  6. Bosanac I, Michikawa T, Mikoshiba K, Ikura M: Structural insights into the regulatory mechanism of IP3 receptor. Biochim Biophys Acta1742: 89-102, 2004


X“c@¹•Fi’}”g‘åŠwE‹@”\HŠwŒnj
  1. Suemitsu A, Morita M: A model of memory formation in the pair-association task. Proceedings of the 2000 International Conference on Neural Information Processing 2: 915-919, 2000


˜a“c@ˆÀO@i’·‰ª‹Zp‰ÈŠw‘åŠwE“d‹CŒnj
  1. Wada Y, Aiba T, Fukuzawa K: An examination of a relation between hand height position and motion duration on the human sagittal plane movement based on the minimization principle. Neurocomputing 38-40: 1581-1587, 2001


  2. Wada Y, Aiba T, Fukuzawa K: A computational trajectory formation model for the human sagittal plane movement at various motion durations. Neurocomputing 38-40: 1589-1594, 2001


  3. Wada Y, Kaneko Y, Nakano E, Osu R, Kawato M: Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory. Neural Netw 14: 381-393, 2001


  4. Tsunoda S, Matsui A, Wada Y, Aiba T, Nagai C, Uchiyama Y, Iwata M, Tanaka S, Kozawa M, Kamiyama M, Fukuzawa K: A computational approach to arm movement on the sagittal plane performed by parietal lobe damaged patients: An attempt to examine a computational model for handwriting for its neurobiological plausibility from a neuropsychological symptom. Neurocomputing 52: 655-660, 2003


  5. Wada Y, Kawabata Y, Kotosaka S, Yamamoto K, Kitazawa S, Kawato M: Acquisition of multiple internal models and context switching under multiple viscous force fields. Neurosci Res 46: 319-332, 2003


  6. Osu R, Kamimura N, Iwasaki H, Nakano E, Harris C, Wada Y, Kawato M: Optimal impedance control for task achievement in the presence of signal-dependent noise. J Neurophysiol 92: 1199-1215, 2004


  7. Wada Y, Kawato M: A via-point time optimization algorithm for complex sequential trajectory formation. Neural Netw 17: 353-364, 2004


“n•Ó@³•ô@i“Œ‹ž‘åŠwE‘åŠw‰@HŠwŒnŒ¤‹†‰Èj
  1. Watanabe M, Takahashi Y, Aihara K, Kondo S: Associative memory model with temporal coding and active dendrite. Biosystems 58: 259-263, 2000


  2. Watanabe M, Nakanishi K, Aihara K: Solving the binding problem of the brain with bi-directional functional connectivity. Neural Netw 14: 395-406, 2001



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