Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity

Neural networks and physical systems with emergent collective computational abilities.

Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270

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Maass, W., Natschläger, T., & Markram, H. (2002) · Neural Computation · doi:10.1162/089976602760407955 · Cited by 4,025

Cellular basis of working memory

Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663

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Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285

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Abbott, L. F., Varela, J. A., Sen, K., & Nelson, S. B. (1997) · Science · doi:10.1126/science.275.5297.221 · Cited by 1,690

Corticonics

Abeles, M. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511574566 · Cited by 1,341

Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience

Skaggs, W. E., & McNaughton, B. L. (1996) · Science · doi:10.1126/science.271.5257.1870 · Cited by 1,173

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Louie, K., & Wilson, M. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00186-6 · Cited by 1,148

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Wang, X.-J. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01868-3 · Cited by 1,059

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Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054

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Kitano, K., & Yamada, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02490-0_119 · Cited by 1

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Fares, T. (2010) · Digital Repository Service (Northeastern University) · doi:10.17760/d20000285 · Cited by 1

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Stegenga, J. (2008) · doi:10.3990/1.9789036527675 · Cited by 1

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Unger, H., & Zeevi, Y. Y. J. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.12.024 · Cited by 1

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Kudoh, S. N., Kiyohara, A., Hosokawa, C., Taguchi, T., & Hayashi, I. (2007) · International Symposium on Micro-NanoMechatronics and Human Science · doi:10.1109/mhs.2007.4420824 · Cited by 1

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Peter, S., Durstewitz, D., Diego, F., & Hamprecht, F. A. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.07029 · Cited by 1

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Monto, S. (2010) · Aaltodoc (Aalto University) · Cited by 1

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Averbeck, B. B. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0543-8 · Cited by 1

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Bussel, F. V. (2011) · doi:10.53846/goediss-3150 · Cited by 1

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Munk, M. H. J. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541650.009 · Cited by 1

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Patnaik, D., Sastry, P., & Unnikrishnan, K. (2008) · NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)

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Yada, Y., Mita, T., Kanzaki, R., Bakkum, D. J., & Takahashi, H. (2015) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2015.7146630

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Peng, Y., & Munro, P. (2006) · International Conference on Neural Networks and Brain · doi:10.1109/icnnb.2005.1614880

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Waddington, A., & Cohen, N. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-s1-p195

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Grüning, A., & Treves, A. (2006) · Behavioral and Brain Sciences · doi:10.1017/s0140525x06319024

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Kazantsev, V., Mukhina, I. V., Zaytsev, Y. V., & Galkina, M. O. (2009) · IFAC Proceedings Volumes · doi:10.3182/20090622-3-uk-3004.00004

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Kato, H., & Ikeguchi, T. (2014) · IEICE Proceeding Series · doi:10.15248/proc.1.485

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Idelson, M. S., Ben‐Jacob, E., & Hanein, Y. (2010) · IEEE Convention of Electrical and Electronics Engineers in Israel · doi:10.1109/eeei.2010.5661912

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Mizunuma, M., & Ikegaya, Y. (2009) · Folia Pharmacologica Japonica · doi:10.1254/fpj.134.19

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Raichelgauz, I., Odinaev, K., & Zeevi, Y. Y. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260923

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Sarrazin, J.-C., Vanessa, G., Berberian, B., & Tonnelier, A. (2011) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2011.6033435

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Lu, W., & Feng, J. (2010) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2010.5596302

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Buonomano, J. (2005)

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Roxin, A. (2008)

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Teicher, M., Drori, R., Ben‐Shaul, Y., Nádasdy, Z., Amarasingham, A., Harrison, M. T., Hatsopoulos, N. G., Geman, S., Reyes‐Puerta, V., Sun, J., et al. (2015)

ModularPropagationofEpileptiformActivity:Evidencefor anInhibitoryVetoinNeocortex

Trevelyan, A. J. (2006)

EmergenceofPersistentNetworksinLong-Term IntracranialEEGRecordings

Kramer, M. A., Lepage, K. Q., & Kolaczyk, E. D. (2011)

Version of file: Published Peer Review Status: Peer reviewed Citation for item:

Weiss, S. A. (2013)

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Hereld, M., Suresh, J., Radojicic, M. S., Pesce, L. L., Wang, J., Marks, J. D., & van Drongelen, W. (2015) · Springer series in computational neuroscience · doi:10.1007/978-3-319-20037-8_10

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Ma, Y. (2008) · doi:10.33915/etd.4400

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Lau, P.-M., & Bi, G. (2009) · Springer eBooks · doi:10.1007/978-1-4419-0389-1_4

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Xu, H. (2010) · doi:10.7301/z0db8025

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Hodson, D. J., Molino, F., & Mollard, P. (2016) · doi:10.1002/9781119159438.ch6

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Harris, K. D. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541650.003

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Minoshima, W., Ito, H., & Kudoh, S. N. (2016) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.136.1335

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Rambani, K. (2007) · SMARTech Repository (Georgia Institute of Technology)

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Tatsuno, M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802452-2.00002-0

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Hamasaki, Y., Haba, N., Iwata, N., Uno, Y., & Saito, M. (2017) · Journal of Behavioral and Brain Science · doi:10.4236/jbbs.2017.72008

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Lemieux, M. (2014) · Corpus Université Laval (Université Laval)

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Johnson, N. W. (2017) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00030387

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Yada, Y., Kanzaki, R., & Takahashi, H. (2015) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.135.971

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Kwek, M.-T. (2018)

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Matsumura, T., Yuasa, T., & Kang, S. (2019) · Journal of Advanced Simulation in Science and Engineering · doi:10.15748/jasse.6.32

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Umebayashi, R., & Kudoh, S. N. (2018) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scis-isis.2018.00152

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Lin, B. (2006) · doi:10.53846/goediss-3259

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Haß, J. (2011) · doi:10.53846/goediss-3285

References

(2006) · Elsevier eBooks · doi:10.1016/b978-008044939-5/50016-1

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Crair, M. C., & Furman, M. (2011) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.12681956.13940054

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Huber, M. E. (2016) · Digital Repository Service (Northeastern University) · doi:10.17760/d20213806

Epilogue

Buzsáki, G. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190905385.003.0014

A Model of Language Understanding by Interacting Cortical Areas

Palm, G. (2022) · Springer eBooks · doi:10.1007/978-3-031-00311-0_6

New Results from Brain Research and Neuroscience

Palm, G. (2022) · Springer eBooks · doi:10.1007/978-3-031-00311-0_9

A Timing Mechanism for Perceived HappeningPreprint

White, P. A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4170483

Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study

Lee, J. H., Tsunada, J., Vijayan, S., & Cohen, Y. E. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.979830

Structure-dependent spontaneous calcium dynamics in cultured neuronal networks on microcontact-printed substratesPreprint

Chen, Z., Sun, T., Wei, Z., Xie, C., Wang, H., Huang, Q., Shimoda, S., Fukuda, T., & Shi, Q. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.08.527409

Reviewer #1 (Public Review): Mega-scale movie-fields in the mouse visuo-hippocampal network

(2023) · eLife · doi:10.7554/elife.85069.1.sa2

Cortical Songs Revisited: A Lesson in Statistics

McLelland, D., & Paulsen, O. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.020 · Cited by 11

Synfire Chains and Cortical Songs

McKhann, G. M. (2004) · Neurosurgery · doi:10.1227/01.neu.0000309438.03530.73 · Cited by 10

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Kleinjohann, A., Berling, D., Stella, A., Tetzlaff, T., & Grün, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.02.502431 · Cited by 2

Reliable Recall of Spontaneous Activity Patterns in Cortical Networks

Marre, O., Yger, P., Davison, A. P., & Frégnac, Y. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0753-09.2009 · Cited by 37

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