Journal articles /原著論文
[1] Leleu T and Aihara K, Combined effects of LTP/LTD and synaptic scaling in formation of discrete and line attractors with persistent activity from non-trivial baseline, Cognitive neurodynamics, 6(6), 499-524, 2012.
[2] Leleu T and Aihara K. Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex, Neural computation, 25(11), 3131-3182, 2013.
[3] Leleu T and Aihara K, Unambiguous reconstruction of network structure using avalanche dynamics, Physical Review E, 91(2), 022804, 2015.
[4] Itoh M and Leleu T, Modulation of context-dependent spatiotemporal patterns within packets of spiking activity, Neural computation, 29(5), 1263-1292, 2017.
[5] Leleu T, Yamamoto Y, Utsunomiya S, and Aihara K, Combinatorial optimization using dynamical phase transitions in driven-dissipative systems, Physical Review E, 95(2), 022118, 2017.
[6] Yamamoto Y, Aihara K, Leleu T, Kawarabayashi K, Kako S, Fejer M, Inoue K, and Takesue H, Coherent Ising machines : optical neural networks operating at the quantum limit, Nature Partner Journal: Quantum Information, 3(1), 49, 2017.
[7] Leleu T, Levi T, Kohno T, and Aihara K, Network structure reconstruction using packets of spikes in cultured neuronal networks coupled to microelectrode arrays, Nonlinear Theory and Its Applications, IEICE, 9(2), 281-294, 2018.
[8] Leleu T, Yamamoto Y, McMahon PL, and Aihara K, Destabilization of local minima in analog spin systems by correction of amplitude heterogeneity. Physical Review Letters, 122, 040607, 2019.
[9] Kako S, Leleu T, Inui Y, Khoyratee F, Reifenstein S, Yamamoto Y, Coherent Ising machines with error correction feedback. Advanced Quantum Technologies, 2000045, 2020.
[10] Yamamoto Y, Leleu T, Ganguli S, Mabuchi H, Coherent Ising machines--Quantum optics and neural network perspectives, arXiv preprint arXiv:2006.05649, 2020.
[11] Sakemi Y, Morino K, Leleu T, Aihara K, Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time, arXiv preprint arXiv:2006.06218, 2020.
[12] Leleu T, Khoyratee F, Levi T, Hamerly R, Kohno T, Aihara K, Chaotic Amplitude Control for Neuromorphic Ising Machine in Silico. arXiv preprint arXiv:2009.04084, 2020.
[13] Inagaki T, Inaba K, Leleu T, Honjo H, Ikuta T, Enbutsu K, Umeki T, Kasahara R, Aihara K, Takesue H, Collective and synchronous dynamics of photonic spiking neurons, arXiv preprint arXiv:2009.11454, 2020.
International conferences /国際会議
[1] Leleu T. and Sakurai A, Recurrent self-similarities and machine learning: The inverse problem of building fractals, 15th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Fuzzy Logic, Rough Sets, Neural Networks, Fractals, Bayesian Methods (MENDEL 2009), Brno University of Technology, 2009.
[2] Leleu T, Building invertible fractals: Introduction to context-dependant iterated function systems, In proceedings of The 2010 International Joint Conference on Neural Networks (IJCNN 2010), IEEE, Barcelona, Spain, page 1-8, 18-23 July 2010.
[3] Leleu T and Aihara K, Oscillatory hierarchy in a network of leaky integrate-and-fire neurons with short-term plasticity, 22nd Annual Meeting of the Organization for Computational Neurosciences (CNS 2013), Paris, France, 13-18 July 2013, published in BioMed Central volume 14, page P5, 2013.
[4] Leleu T and Aihara K, Finite size effect in the transmission of spikes between subnetworks during neuronal avalanches at criticality, In proceedings of The 3rd International Symposium on Innovative Mathematical Modeling (ISIMM2013), page 57, Tokyo, Japan, 12-15 November 2013.
[5] Leleu T and Aihara K, Learning sequential patterns encoded by the propagation of neuronal avalanches in modular networks, The 1st International Symposium on Neuromorphic and Nonlinear Engineering (ISNNE 2014), Tokyo, Japan, 20-21 February 2014.
[6] Leleu T and Aihara K, Sequential patterns of spikes and scale-invariance in modular networks, 23rd Annual Meeting of the Organization for Computational Neurosciences (CNS 2014), Canada, 26-31 July 2014, published in BioMed Central, volume 15, page P225, 2014.
[7] Leleu T and Aihara K, Top-down modulation of sequential activity within packets modeled using avalanche dynamics, 25th Annual Meeting of the Organization for Computational Neurosciences (CNS 2016), Jeju, Korea, 2-7 July 2016, published in BioMed Central volume 17, page 54, 2016.
[8] Leleu T, McMahon PL, Yamamoto Y, and Aihara K, Solving max-cut and related problems efficiently using the coherent Ising machine, Workshop on Non-conventional Approaches to Hard Optimization (NAHO ICCAD), Irvine, CA, 16 November 2017.
[9] Leleu T, Levi T, Kohno T, and Aihara K, New methodology of neural network reconstruction for "in vitro" culture on MultiElectrode Array (MEA), 23th International Conference on Articial ALife and Robotics (ICAROB 2018), Beppu, Japan, 1-4 February 2018.
[10] Boubakour M, Leleu T, and Aihara K, A new method to infer the structure of neural networks, IRCN 2nd International Symposium, Hongo, Japan, 17 December 2018.
[11] Leleu T, Yamamoto Y, McMahon PL, Aihara K, Network of time-multiplexed optical parametric oscillators as a coherent boolean satisability problem solver, Coherent Network Computing 2019 (CNC2019), Atsugi, Japan, 18-20 March 2019.
Domestic conferences / 国内会議
[1] Leleu T and Kazuyuki Aihara, Irregular baseline and persistent activity induced by LTP/LTD in chaotic neural networks, In proceedings of The 21st Annual Conference of the Japanese Neural Network Society, Okinawa, Japan, pages 128-129, 15-17 December 2011.
[2] 針原佳貴, Leleu T, 山本喜久, 宇都宮聖子, 合原一幸, 縮退型パラメトリック発振器の相転移と臨界現象による計算, 日本物理学会 2015 年秋季大会 概要集, 大阪, 日本,16pAC-9, 2015年5月20日.
[3] Leleu T and Aihara K, Reconstruction of network structure using avalanche dynamics, 15th Winter Workshop on Mechanism of Brain and Mind, Hokkaido, Japan, 7-9 January 2015.
招待講演 / Invited talk
[1] Leleu T, Hysteretic Optimization implemented using Coherent Ising Machines. 3rd Quantum Articial Brain Meeting, Tokyo, Japan, 24 February 2015.
[2] Leleu T, Yamamoto Y, Utsunomiya S, and Aihara K, Combinatorial optimization using dynamical phase transition in driven-dissipative system, US-Japan Workshop: New-Generation Computers: Quantum Annealing and Coherent Computing, Stanford University, USA, 10-11 December 2015.
[3] Leleu T, Simulating Photonic Spiking Neural Networks using Degenerate Optical Parametric Oscillators, 9th Quantum Articial Brain Meeting, Tokyo, Japan, 9 March 2016.
[4] Leleu T, Yamamoto Y, Utsunomiya S, and Aihara K, Solving k-sat problems using asymmetric degenerate optical parametric oscillator networks, ImPACT School on Interdisciplinary Quantum Physics and Brain Science, Kyoto, Japan, 17-22 November 2016.
[5] Leleu T, Quantum suppression of chaos for enhanced combinatorial optimization. 14th Quantum Articial Brain Meeting, Tokyo, Japan, 23 February 2017.
[6] Leleu T, Quantum suppression of chaos in optical neural networks applied to satisability problems. In Mini Workshop: Mathematical Aspects of Topological Phases of Matter and Quantum Computing, Sendai, Japan, 24-25 July 2017.
[7] Leleu T, Hybrid optical neural networks for solving hard combinatorial optimization problems, The 1st WPI-IRCN Retreat 2018, Kanagawa, Japan, 17-18 March 2018.
[8] Leleu T, Hybrid optical-electronic neural networks for real-world applications, ImPACT school on Interdisciplinary Quantum Physics and Computer Science, Toyama, Japan, 29-3 June 2018.
[9] Leleu T. Combinatorial optimization using analog spin systems coupled to non-markovian reservoir. In International Workshop on Neural Models, Physical Implementations, and Applications of Reservoir Computing, Tokyo, Japan, 14 November 2018.
[10] Leleu T, Yamamoto Y, McMahon PL, and Aihara K, Correction of amplitude heterogeneity for solving combinatorial optimization problems eficiently using optoelectronics. In The 49th Winter Colloquium on the Physics of Quantum Electronics (PQE2019), Utah, USA, 6-11 January 2019.
[11] Leleu T, FPGA implementation of an analog maxcut solver, International Symposium on Neuromorphic and Non-linear Engineering (ISNNE 2019), Tokyo, Japan, 24 May 2019.
[12] Leleu T, Ising machines and neuromorphic systems for solving combinatorial optimization problems, 29th Annual Conference of Japanese Neural Network Society (JNNS 2019), Tokyo, Japan, 3 September 2019.
Book chapters / 書籍
[1] Leleu T and Kazuyuki Aihara, Sequential memory retention by stabilization of cell assemblies, In Advances in Cognitive Neurodynamics (III), pages 641-648, Springer, 2013.
[2] Leleu T and Aihara K, Overlapping and non-interfering waves of bursts, In Cognitive Phase Transitions in the Cerebral Cortex-Enhancing the Neuron Doctrine by Modeling Neural Fields, pages 233-237, Springer, 2016.
International Patents / 国際特許
[1] Leleu T, Yamamoto Y, McMahon PL, and Aihara K, Data processing apparatus, PCT/US2018/044469, 31st July 2018.