{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:03:15Z","timestamp":1757617395512,"version":"3.44.0"},"reference-count":60,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Fundamentals"],"published-print":{"date-parts":[[2025,9,1]]},"DOI":"10.1587\/transfun.2024eap1086","type":"journal-article","created":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T18:06:58Z","timestamp":1742753218000},"page":"1230-1240","source":"Crossref","is-referenced-by-count":0,"title":["Investigating Neural Dynamics Through Shifting Excitatory-Inhibitory Balance in a Single-Pair System"],"prefix":"10.1587","volume":"E108.A","author":[{"given":"Akio","family":"SUGAWARA","sequence":"first","affiliation":[{"name":"Graduate School of Information and Computer Science, Chiba Institute of Technology"}]},{"given":"Nobuhiko","family":"WAGATSUMA","sequence":"additional","affiliation":[{"name":"Department of Information Science, Faculty of Science, Toho University"}]},{"given":"Keiichiro","family":"INAGAKI","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence and Robotics, Chubu University"}]},{"given":"Sou","family":"NOBUKAWA","sequence":"additional","affiliation":[{"name":"Graduate School of Information and Computer Science, Chiba Institute of Technology"},{"name":"Department of Computer Science, Chiba Institute of Technology"},{"name":"Research Center for Mathematical Engineering, Chiba Institute of Technology"},{"name":"Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] O. Sporns, Networks of the Brain, MIT press, 2016."},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] J.H. Foss-Feig, B.D. Adkinson, J.L. Ji, G. Yang, V.H. Srihari, J.C. McPartland, J.H. Krystal, J.D. Murray, and A. Anticevic, \u201cSearching for cross-diagnostic convergence: Neural mechanisms governing excitation and inhibition balance in schizophrenia and autism spectrum disorders,\u201d Biological psychiatry, vol.81, no.10, pp.848-861, 2017. 10.1016\/j.biopsych.2017.03.005","DOI":"10.1016\/j.biopsych.2017.03.005"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] O. Yizhar, L.E. Fenno, M. Prigge, F. Schneider, T.J. Davidson, D.J. O\u2019Shea, V.S. Sohal, I. Goshen, J. Finkelstein, J.T. Paz, K. Stehfest, R. Fudim, C. Ramakrishnan, J.R. Huguenard, P. Hegemann, and K. Deisseroth, \u201cNeocortical excitation\/inhibition balance in information processing and social dysfunction,\u201d Nature, vol.477, no.7363, pp.171-178, 2011. 10.1038\/nature10360","DOI":"10.1038\/nature10360"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] J. Rubenstein and M.M. Merzenich, \u201cModel of autism: Increased ratio of excitation\/inhibition in key neural systems,\u201d Genes, Brain and Behavior, vol.2, no.5, pp.255-267, 2003. 10.1034\/j.1601-183x.2003.00037.x","DOI":"10.1034\/j.1601-183X.2003.00037.x"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] J.D. Murray, A. Anticevic, M. Gancsos, M. Ichinose, P.R. Corlett, J.H. Krystal, and X.J. Wang, \u201cLinking microcircuit dysfunction to cognitive impairment: Effects of disinhibition associated with schizophrenia in a cortical working memory model,\u201d Cerebral Cortex, vol.24, no.4, pp.859-872, 2014. 10.1093\/cercor\/bhs370","DOI":"10.1093\/cercor\/bhs370"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] S. Nobukawa, N. Wagatsuma, T. Ikeda, C. Hasegawa, M. Kikuchi, and T. Takahashi, \u201cEffect of steady-state response versus excitatory\/inhibitory balance on spiking synchronization in neural networks with log-normal synaptic weight distribution,\u201d Cogn. Neurodyn., vol.16, no.4, pp.871-885, 2022. 10.1007\/s11571-021-09757-z","DOI":"10.1007\/s11571-021-09757-z"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] I. Matsumoto, S. Nobukawa, T. Kurikawa, N. Wagatsuma, Y. Sakemi, T. Kanamaru, N. Sviridova, and K. Aihara, \u201cOptimal excitatory and inhibitory balance for high learning performance in spiking neural networks with long-tailed synaptic weight distributions,\u201d 2023 International Joint Conference on Neural Networks (IJCNN), pp.1-8, IEEE, 2023. 10.1109\/ijcnn54540.2023.10191709","DOI":"10.1109\/IJCNN54540.2023.10191709"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] T. Pfeffer, A.E. Avramiea, G. Nolte, A.K. Engel, K. Linkenkaer-Hansen, and T.H. Donner, \u201cCatecholamines alter the intrinsic variability of cortical population activity and perception,\u201d PLoS Biol., vol.16, no.2, p.e2003453, 2018. 10.1371\/journal.pbio.2003453","DOI":"10.1371\/journal.pbio.2003453"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] A. Spiegel, J. Mentch, A.J. Haskins, and C.E. Robertson, \u201cSlower binocular rivalry in the autistic brain,\u201d Curr. Biol., vol.29, no.17, pp.2948-2953, 2019. 10.1016\/j.cub.2019.07.026","DOI":"10.1016\/j.cub.2019.07.026"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] R. Blake and N.K. Logothetis, \u201cVisual competition,\u201d Nat. Rev. Neurosci., vol.3, no.1, pp.13-21, 2002. 10.1038\/nrn701","DOI":"10.1038\/nrn701"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[12] F. Tong, K. Nakayama, J.T. Vaughan, and N. Kanwisher, \u201cBinocular rivalry and visual awareness in human extrastriate cortex,\u201d Neuron, vol.21, no.4, pp.753-759, 1998. 10.1016\/s0896-6273(00)80592-9","DOI":"10.1016\/S0896-6273(00)80592-9"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[13] S.H. Lee and R. Blake, \u201cV1 activity is reduced during binocular rivalry,\u201d Journal of Vision, vol.2, no.9, p.4, 2002. 10.1167\/2.9.4","DOI":"10.1167\/2.9.4"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[14] W.J. Levelt, \u201cNote on the distribution of dominance times in binocular rivalry,\u201d British Journal of Psychology, vol.58, no.1-2, pp.143-145, 1967. 10.1111\/j.2044-8295.1967.tb01068.x","DOI":"10.1111\/j.2044-8295.1967.tb01068.x"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[15] A. Borsellino, A. De Marco, A. Allazetta, S. Rinesi, and B. Bartolini, \u201cReversal time distribution in the perception of visual ambiguous stimuli,\u201d Kybernetik, vol.10, no.3, pp.139-144, 1972. 10.1007\/bf00290512","DOI":"10.1007\/BF00290512"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[16] P. Walker, \u201cStochastic properties of binocular rivalry alternations,\u201d Perception & Psychophysics, vol.18, pp.467-473, 1975. 10.3758\/bf03204122","DOI":"10.3758\/BF03204122"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[17] S.R. Lehky, \u201cBinocular rivalry is not chaotic,\u201d Proc. R. Soc. Lond. B., vol.259, no.1354, pp.71-76, 1995. 10.1098\/rspb.1995.0011","DOI":"10.1098\/rspb.1995.0011"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[18] Y.J. Kim, M. Grabowecky, and S. Suzuki, \u201cStochastic resonance in binocular rivalry,\u201d Vision Research, vol.46, no.3, pp.392-406, 2006. 10.1016\/j.visres.2005.08.009","DOI":"10.1016\/j.visres.2005.08.009"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[19] J.M. Beggs and D. Plenz, \u201cNeuronal avalanches in neocortical circuits,\u201d J. Neurosci., vol.23, no.35, pp.11167-11177, 2003. 10.1523\/jneurosci.23-35-11167.2003","DOI":"10.1523\/JNEUROSCI.23-35-11167.2003"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[20] T. Samura, Y. Ikegaya, and Y.D. Sato, \u201cA neural network model of reliably optimized spike transmission,\u201d Cogn. Neurodyn., vol.9, pp.265-277, 2015. 10.1007\/s11571-015-9329-1","DOI":"10.1007\/s11571-015-9329-1"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[21] T. Kanamaru, \u201cChaotic pattern alternations can reproduce properties of dominance durations in multistable perception,\u201d Neural Computation, vol.29, no.6, pp.1696-1720, 2017. 10.1162\/neco_a_00965","DOI":"10.1162\/NECO_a_00965"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[22] S. Nobukawa, \u201cLong-tailed characteristics of neural activity induced by structural network properties,\u201d Front. Appl. Math. Stat., vol.8, p.905807, 2022. 10.3389\/fams.2022.905807","DOI":"10.3389\/fams.2022.905807"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[23] C.P. Said and D.J. Heeger, \u201cA model of binocular rivalry and cross-orientation suppression,\u201d PLoS Comput. Biol., vol.9, no.3, p.e1002991, 2013. 10.1371\/journal.pcbi.1002991","DOI":"10.1371\/journal.pcbi.1002991"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[24] T. Mueller, \u201cA physiological model of binocular rivalry,\u201d Visual Neurosci., vol.4, no.1, pp.63-73, 1990. 10.1017\/s0952523800002777","DOI":"10.1017\/S0952523800002777"},{"key":"24","doi-asserted-by":"publisher","unstructured":"[25] P. Dayan, \u201cA hierarchical model of binocular rivalry,\u201d Neural Computation, vol.10, no.5, pp.1119-1135, 1998. 10.1162\/089976698300017377","DOI":"10.1162\/089976698300017377"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[26] E. Lumer, \u201cA neural model of binocular integration and rivalry based on the coordination of action-potential timing in primary visual cortex.,\u201d Cerebral Cortex, vol.8, no.6, pp.553-561, 1998. 10.1093\/cercor\/8.6.553","DOI":"10.1093\/cercor\/8.6.553"},{"key":"26","doi-asserted-by":"publisher","unstructured":"[27] H.S. Hock, G. Sch\u00f6ner, and M. Giese, \u201cThe dynamical foundations of motion pattern formation: Stability, selective adaptation, and perceptual continuity,\u201d Perception & Psychophysics, vol.65, pp.429-457, 2003. 10.3758\/bf03194574","DOI":"10.3758\/BF03194574"},{"key":"27","doi-asserted-by":"publisher","unstructured":"[28] G.J. Kalarickal and J.A. Marshall, \u201cNeural model of temporal and stochastic properties of binocular rivalry,\u201d Neurocomputing, vol.32, pp.843-853, 2000. 10.1016\/s0925-2312(00)00252-6","DOI":"10.1016\/S0925-2312(00)00252-6"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[29] H.R. Wilson, \u201cComputational evidence for a rivalry hierarchy in vision,\u201d Proc. National Academy of Sciences, vol.100, no.24, pp.14499-14503, 2003. 10.1073\/pnas.2333622100","DOI":"10.1073\/pnas.2333622100"},{"key":"29","doi-asserted-by":"publisher","unstructured":"[30] A.R. Koene, \u201cA model for perceptual averaging and stochastic bistable behavior and the role of voluntary control,\u201d Neural Comput., vol.18, no.12, pp.3069-3096, 2006. 10.1162\/neco.2006.18.12.3069","DOI":"10.1162\/neco.2006.18.12.3069"},{"key":"30","doi-asserted-by":"publisher","unstructured":"[31] A. Noest, R. Van Ee, M. Nijs, and R. Van Wezel, \u201cPercept-choice sequences driven by interrupted ambiguous stimuli: A low-level neural model,\u201d Journal of Vision, vol.7, no.8, p.10, 2007. 10.1167\/7.8.10","DOI":"10.1167\/7.8.10"},{"key":"31","doi-asserted-by":"publisher","unstructured":"[32] A. Polonsky, R. Blake, J. Braun, and D.J. Heeger, \u201cNeuronal activity in human primary visual cortex correlates with perception during binocular rivalry,\u201d Nature Neurosci., vol.3, no.11, pp.1153-1159, 2000. 10.1038\/80676","DOI":"10.1038\/80676"},{"key":"32","doi-asserted-by":"crossref","unstructured":"[33] S. Song, P.J. Sj\u00f6str\u00f6m, M. Reigl, S. Nelson, and D.B. Chklovskii, \u201cHighly nonrandom features of synaptic connectivity in local cortical circuits,\u201d PLoS Biol., vol.3, no.3, p.e68, 2005. 10.1371\/journal.pbio.0030068","DOI":"10.1371\/journal.pbio.0030068"},{"key":"33","doi-asserted-by":"publisher","unstructured":"[34] S. Nobukawa, H. Nishimura, N. Wagatsuma, S. Ando, and T. Yamanishi, \u201cLong-tailed characteristic of spiking pattern alternation induced by log-normal excitatory synaptic distribution,\u201d IEEE Trans. Neural Netw. Learn. Syst., vol.32, no.8, pp.3525-3537, 2020. 10.1109\/tnnls.2020.3015208","DOI":"10.1109\/TNNLS.2020.3015208"},{"key":"34","doi-asserted-by":"publisher","unstructured":"[35] S. Sinha, \u201cNoise-free stochastic resonance in simple chaotic systems,\u201d Physica A: Statistical Mechanics and its Applications, vol.270, no.1-2, pp.204-214, 1999. 10.1016\/s0378-4371(99)00136-3","DOI":"10.1016\/S0378-4371(99)00136-3"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[36] S. Nobukawa, N. Wagatsuma, H. Nishimura, K. Inagaki, and T. Yamanishi, \u201cEvaluation of ability of chaotic resonance under noises in neural systems comprising excitatory-inhibitory neurons,\u201d 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.2197-2202, IEEE, 2021. 10.1109\/smc52423.2021.9658620","DOI":"10.1109\/SMC52423.2021.9658620"},{"key":"36","doi-asserted-by":"publisher","unstructured":"[37] S. Nobukawa and N. Shibata, \u201cControlling chaotic resonance using external feedback signals in neural systems,\u201d Sci. Rep., vol.9, no.1, p.4990, 2019. 10.1038\/s41598-019-41535-0","DOI":"10.1038\/s41598-019-41535-0"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[38] A. Sugawara, S. Nobukawa, N. Wagatsuma, and K. Inagaki, \u201cExploring intermittent dynamics of neural activity in a single-pair system of excitatory and inhibitory neurons,\u201d 2023 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), pp.180-185, IEEE, 2023. 10.1109\/icetci58599.2023.10331250","DOI":"10.1109\/ICETCI58599.2023.10331250"},{"key":"38","doi-asserted-by":"crossref","unstructured":"[39] T. Schreiber and A. Schmitz, \u201cImproved surrogate data for nonlinearity tests,\u201d Phys. Rev. Lett., vol.77, no.4, p.635, 1996. 10.1103\/physrevlett.77.635","DOI":"10.1103\/PhysRevLett.77.635"},{"key":"39","doi-asserted-by":"publisher","unstructured":"[40] S. Nobukawa, A. Shirama, T. Takahashi, T. Takeda, H. Ohta, M. Kikuchi, A. Iwanami, N. Kato, and S. Toda, \u201cIdentification of attention-deficit hyperactivity disorder based on the complexity and symmetricity of pupil diameter,\u201d Sci. Rep., vol.11, no.1, p.8439, 2021. 10.1038\/s41598-021-88191-x","DOI":"10.1038\/s41598-021-88191-x"},{"key":"40","doi-asserted-by":"publisher","unstructured":"[41] T. Takahashi, R.Y. Cho, T. Mizuno, M. Kikuchi, T. Murata, K. Takahashi, and Y. Wada, \u201cAntipsychotics reverse abnormal eeg complexity in drug-naive schizophrenia: A multiscale entropy analysis,\u201d NeuroImage, vol.51, no.1, pp.173-182, 2010. 10.1016\/j.neuroimage.2010.02.009","DOI":"10.1016\/j.neuroimage.2010.02.009"},{"key":"41","doi-asserted-by":"publisher","unstructured":"[42] S. Nobukawa, T. Yamanishi, S. Kasakawa, H. Nishimura, M. Kikuchi, and T. Takahashi, \u201cClassification methods based on complexity and synchronization of electroencephalography signals in Alzheimer\u2019s disease,\u201d Front. Psychiatry, vol.11, p.255, 2020. 10.3389\/fpsyt.2020.00255","DOI":"10.3389\/fpsyt.2020.00255"},{"key":"42","doi-asserted-by":"publisher","unstructured":"[43] T. Mizuno, T. Takahashi, R.Y. Cho, M. Kikuchi, T. Murata, K. Takahashi, and Y. Wada, \u201cAssessment of EEG dynamical complexity in Alzheimer\u2019s disease using multiscale entropy,\u201d Clinical Neurophysiology, vol.121, no.9, pp.1438-1446, 2010. 10.1016\/j.clinph.2010.03.025","DOI":"10.1016\/j.clinph.2010.03.025"},{"key":"43","doi-asserted-by":"publisher","unstructured":"[44] J.S. Richman and J.R. Moorman, \u201cPhysiological time-series analysis using approximate entropy and sample entropy,\u201d American Journal of Physiology-Heart and Circulatory Physiology, vol.278, no.6, pp.H2039-H2049, 2000. 10.1152\/ajpheart.2000.278.6.h2039","DOI":"10.1152\/ajpheart.2000.278.6.H2039"},{"key":"44","doi-asserted-by":"publisher","unstructured":"[45] M. Ando, S. Nobukawa, M. Kikuchi, and T. Takahashi, \u201cIdentification of electroencephalogram signals in Alzheimer\u2019s disease by multifractal and multiscale entropy analysis,\u201d Front. Neurosci., vol.15, p.667614, 2021. 10.3389\/fnins.2021.667614","DOI":"10.3389\/fnins.2021.667614"},{"key":"45","doi-asserted-by":"publisher","unstructured":"[46] C.R. Laing and C.C. Chow, \u201cA spiking neuron model for binocular rivalry,\u201d J. Comput. Neurosci., vol.12, pp.39-53, 2002. 10.1023\/a:1014942129705","DOI":"10.1023\/A:1014942129705"},{"key":"46","doi-asserted-by":"publisher","unstructured":"[47] Y. Benjamini and Y. Hochberg, \u201cControlling the false discovery rate: A practical and powerful approach to multiple testing,\u201d Journal of the Royal statistical society: series B (Methodological), vol.57, no.1, pp.289-300, 1995. 10.1111\/j.2517-6161.1995.tb02031.x","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"47","doi-asserted-by":"publisher","unstructured":"[48] A.M. van Loon, T. Knapen, H.S. Scholte, E.S. John-Saaltink, T.H. Donner, and V.A. Lamme, \u201cGABA shapes the dynamics of bistable perception,\u201d Curr. Biol., vol.23, no.9, pp.823-827, 2013. 10.1016\/j.cub.2013.03.067","DOI":"10.1016\/j.cub.2013.03.067"},{"key":"48","doi-asserted-by":"publisher","unstructured":"[49] J. Mentch, A. Spiegel, C. Ricciardi, and C.E. Robertson, \u201cGabaergic inhibition gates perceptual awareness during binocular rivalry,\u201d J. Neurosci., vol.39, no.42, pp.8398-8407, 2019. 10.1523\/jneurosci.0836-19.2019","DOI":"10.1523\/JNEUROSCI.0836-19.2019"},{"key":"49","doi-asserted-by":"publisher","unstructured":"[50] J. Wu, W. Ding, X. Ye, Q. Wei, X. Lv, Q. Tang, Y. Tian, K. Wang, and Y. Jiang, \u201cInterictal activity is associated with slower binocular rivalry in idiopathic generalized epilepsy,\u201d Front. Neurol., vol.12, p.720126, 2021. 10.3389\/fneur.2021.720126","DOI":"10.3389\/fneur.2021.720126"},{"key":"50","doi-asserted-by":"publisher","unstructured":"[51] X. Ye, R.L. Zhu, X.Q. Zhou, S. He, and K. Wang, \u201cSlower and less variable binocular rivalry rates in patients with bipolar disorder, OCD, major depression, and schizophrenia,\u201d Front. Neurosci., vol.13, p.395711, 2019. 10.3389\/fnins.2019.00514","DOI":"10.3389\/fnins.2019.00514"},{"key":"51","doi-asserted-by":"publisher","unstructured":"[52] S.M. Miller, B. Gynther, K. Heslop, G.B. Liu, P. Mitchell, T.T. Ngo, J.D. Pettigrew, and L. Geffen, \u201cSlow binocular rivalry in bipolar disorder,\u201d Psychological Medicine, vol.33, no.4, pp.683-692, 2003. 10.1017\/s0033291703007475","DOI":"10.1017\/S0033291703007475"},{"key":"52","doi-asserted-by":"publisher","unstructured":"[53] C.E. Robertson, D.J. Kravitz, J. Freyberg, S. Baron-Cohen, and C.I. Baker, \u201cSlower rate of binocular rivalry in autism,\u201d J. Neurosci., vol.33, no.43, pp.16983-16991, 2013. 10.1523\/jneurosci.0448-13.2013","DOI":"10.1523\/JNEUROSCI.0448-13.2013"},{"key":"53","doi-asserted-by":"publisher","unstructured":"[54] C.E. Robertson, E.M. Ratai, and N. Kanwisher, \u201cReduced GABAergic action in the autistic brain,\u201d Curr. Biol., vol.26, no.1, pp.80-85, 2016. 10.1016\/j.cub.2015.11.019","DOI":"10.1016\/j.cub.2015.11.019"},{"key":"54","doi-asserted-by":"publisher","unstructured":"[55] G. Xiao, K. He, X. Chen, L. Wang, X. Bai, L. Gao, C. Zhu, and K. Wang, \u201cSlow binocular rivalry as a potential endophenotype of schizophrenia,\u201d Frontiers in Neuroscience, vol.12, p.381085, 2018. 10.3389\/fnins.2018.00634","DOI":"10.3389\/fnins.2018.00634"},{"key":"55","doi-asserted-by":"publisher","unstructured":"[56] J.P. Hamm, D.S. Peterka, J.A. Gogos, and R. Yuste, \u201cAltered cortical ensembles in mouse models of schizophrenia,\u201d Neuron, vol.94, no.1, pp.153-167, 2017. 10.1016\/j.neuron.2017.03.019","DOI":"10.1016\/j.neuron.2017.03.019"},{"key":"56","doi-asserted-by":"publisher","unstructured":"[57] K. Nakao and K. Nakazawa, \u201cBrain state-dependent abnormal LFP activity in the auditory cortex of a schizophrenia mouse model,\u201d Front. Neurosc., vol.8, p.97937, 2014. 10.3389\/fnins.2014.00168","DOI":"10.3389\/fnins.2014.00168"},{"key":"57","doi-asserted-by":"publisher","unstructured":"[58] M. Xue, B.V. Atallah, and M. Scanziani, \u201cEqualizing excitation-inhibition ratios across visual cortical neurons,\u201d Nature, vol.511, no.7511, pp.596-600, 2014. 10.1038\/nature13321","DOI":"10.1038\/nature13321"},{"key":"58","doi-asserted-by":"publisher","unstructured":"[59] S. Hirano, Y. Hirano, T. Maekawa, C. Obayashi, N. Oribe, T. Kuroki, S. Kanba, and T. Onitsuka, \u201cAbnormal neural oscillatory activity to speech sounds in schizophrenia: A magnetoencephalography study,\u201d J. Neurosci., vol.28, no.19, pp.4897-4903, 2008. 10.1523\/jneurosci.5031-07.2008","DOI":"10.1523\/JNEUROSCI.5031-07.2008"},{"key":"59","doi-asserted-by":"publisher","unstructured":"[60] K.M. Spencer, P.G. Nestor, R. Perlmutter, M.A. Niznikiewicz, M.C. Klump, M. Frumin, M.E. Shenton, and R.W. McCarley, \u201cNeural synchrony indexes disordered perception and cognition in schizophrenia,\u201d Proc. National Academy of Sciences, vol.101, no.49, pp.17288-17293, 2004. 10.1073\/pnas.0406074101","DOI":"10.1073\/pnas.0406074101"},{"key":"60","doi-asserted-by":"publisher","unstructured":"[61] C. Tallon-Baudry and O. Bertrand, \u201cOscillatory gamma activity in humans and its role in object representation,\u201d Trends in Cognit. Sci., vol.3, no.4, pp.151-162, 1999. 10.1016\/s1364-6613(99)01299-1","DOI":"10.1016\/S1364-6613(99)01299-1"}],"container-title":["IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/9\/E108.A_2024EAP1086\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T03:34:17Z","timestamp":1757129657000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/9\/E108.A_2024EAP1086\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,1]]},"references-count":60,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transfun.2024eap1086","relation":{},"ISSN":["0916-8508","1745-1337"],"issn-type":[{"type":"print","value":"0916-8508"},{"type":"electronic","value":"1745-1337"}],"subject":[],"published":{"date-parts":[[2025,9,1]]},"article-number":"2024EAP1086"}}