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[1] Kazuo Iwama,et al. CONNECTIVITY , 1996, Graph Theory and Its Applications.
[2] Z. Konkoli,et al. A generic simulator for large networks of memristive elements. , 2013, Nanotechnology.
[3] Herbert Jaeger,et al. Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks , 2013, Neural Computation.
[4] Fabien Alibart,et al. Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors , 2013, Neural Computation.
[5] A. Thomas,et al. Memristor-based neural networks , 2013 .
[6] Jian-Xin Xu,et al. Effects of synaptic connectivity on liquid state machine performance , 2013, Neural Networks.
[7] Johannes Schemmel,et al. Six Networks on a Universal Neuromorphic Computing Substrate , 2012, Front. Neurosci..
[8] J Joshua Yang,et al. Memristive devices for computing. , 2013, Nature nanotechnology.
[9] Stefan J. Kiebel,et al. Re-visiting the echo state property , 2012, Neural Networks.
[10] Valeriu Beiu,et al. Aspects of computing with locally connected networks , 2012 .
[11] Damien Querlioz,et al. Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity , 2012, Neural Networks.
[12] Benjamin Schrauwen,et al. Information Processing Capacity of Dynamical Systems , 2012, Scientific Reports.
[13] Christof Teuscher,et al. Memristor-based reservoir computing , 2012, 2012 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).
[14] William R. Dichtel,et al. High hopes: can molecular electronics realise its potential? , 2012, Chemical Society reviews.
[15] Mauricio Barahona,et al. Device Properties of Bernoulli Memristors , 2012, Proceedings of the IEEE.
[16] Benjamin Schrauwen,et al. Reservoir Computing Trends , 2012, KI - Künstliche Intelligenz.
[17] Jakub S. Prauzner-Bechcicki,et al. Atomic‐ and molecular‐scale devices and systems for single‐molecule electronics , 2012 .
[18] L Pesquera,et al. Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing. , 2012, Optics express.
[19] Johannes Schemmel,et al. Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware , 2012, Front. Neurosci..
[20] Christian Joachim,et al. The Different Designs of Molecule Logic Gates , 2012, Advanced materials.
[21] Audrius V. Avizienis,et al. Emergent Criticality in Complex Turing B‐Type Atomic Switch Networks , 2012, Advanced materials.
[22] Y. V. Pershin,et al. Biologically-Inspired Electronics with Memory Circuit Elements , 2011, 1112.4987.
[23] Benjamin Schrauwen,et al. Optoelectronic Reservoir Computing , 2011, Scientific Reports.
[24] Massimiliano Di Ventra,et al. Neuromorphic, Digital, and Quantum Computation With Memory Circuit Elements , 2010, Proceedings of the IEEE.
[25] V. Beiu,et al. SYMONE Project: Synaptic Molecular Networks for Bio-Inspired Information Processing , 2012, Int. J. Unconv. Comput..
[26] Fabien Alibart,et al. A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing , 2011, ArXiv.
[27] L. Appeltant,et al. Information processing using a single dynamical node as complex system , 2011, Nature communications.
[28] Wei Lu,et al. Short-term Memory to Long-term Memory Transition in a Nanoscale Memristor , 2022 .
[29] M. Mayor,et al. Resonant photoconductance of molecular junctions formed in gold nanoparticle arrays. , 2011, Journal of the American Chemical Society.
[30] Stephen Berard,et al. Implications of Historical Trends in the Electrical Efficiency of Computing , 2011, IEEE Annals of the History of Computing.
[31] T. Hasegawa,et al. Chemical wiring and soldering toward all-molecule electronic circuitry. , 2011, Journal of the American Chemical Society.
[32] R. Ahuja,et al. Interference effects in phtalocyanine controlled by H-H tautomerization: Potential two-terminal unimolecular electronic switch , 2011, 1104.1441.
[33] M. Sahimi,et al. Electric currents in networks of interconnected memristors. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[34] Massimiliano Di Ventra,et al. Solving mazes with memristors: a massively-parallel approach , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[35] C. Joachim,et al. Manipulating molecular quantum states with classical metal atom inputs: demonstration of a single molecule NOR logic gate. , 2011, ACS nano.
[36] Johannes Schemmel,et al. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems , 2010, Biological Cybernetics.
[37] Göran Wendin,et al. Robustness of logic gates and reconfigurability of neuromorphic switching networks , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[38] Benjamin Schrauwen,et al. Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons , 2010, Neural Computation.
[39] Gregory S. Snider,et al. ‘Memristive’ switches enable ‘stateful’ logic operations via material implication , 2010, Nature.
[40] Wei Yang Lu,et al. Nanoscale memristor device as synapse in neuromorphic systems. , 2010, Nano letters.
[41] C. Schönenberger,et al. Cyclic conductance switching in networks of redox-active molecular junctions. , 2010, Nano letters.
[42] C. Gamrat,et al. An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse , 2009, 0907.2540.
[43] Massimiliano Di Ventra,et al. Experimental demonstration of associative memory with memristive neural networks , 2009, Neural Networks.
[44] D. Stewart,et al. The missing memristor found , 2009, Nature.
[45] Edward T. Bullmore,et al. Broadband Criticality of Human Brain Network Synchronization , 2009, PLoS Comput. Biol..
[46] Konrad Szaciłowski,et al. Digital Information Processing in Molecular Systems , 2008 .
[47] K. Szaciłowski. Digital information processing in molecular systems. , 2008, Chemical reviews.
[48] J. Yang,et al. Memristive switching mechanism for metal/oxide/metal nanodevices. , 2008, Nature nanotechnology.
[49] Ilya Shmulevich,et al. Critical networks exhibit maximal information diversity in structure-dynamics relationships. , 2008, Physical review letters.
[50] G. Wendin,et al. Reconfigurable logic in nanoelectronic switching networks , 2007 .
[51] J. M. Herrmann,et al. Dynamical synapses causing self-organized criticality in neural networks , 2007, 0712.1003.
[52] Carl Önnheim,et al. Nanocell Devices and Architecture for Configurable Computing With Molecular Electronics , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.
[53] R. Waser,et al. Nanoionics-based resistive switching memories. , 2007, Nature materials.
[54] Tadashi Yamazaki,et al. The cerebellum as a liquid state machine , 2007, Neural Networks.
[55] Bonnie A. Sheriff,et al. A 160-kilobit molecular electronic memory patterned at 1011 bits per square centimetre , 2007, Nature.
[56] Robert A. Legenstein,et al. At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks , 2004, NIPS.
[57] Nils Bertschinger,et al. Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks , 2004, Neural Computation.
[58] Harald Haas,et al. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.
[59] R. Stanley Williams,et al. Molecule-Independent Electrical Switching in Pt/Organic Monolayer/Ti Devices , 2004 .
[60] Chrisantha Fernando,et al. Pattern Recognition in a Bucket , 2003, ECAL.
[61] James M. Tour,et al. Logic and memory with nanocell circuits , 2003 .
[62] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[63] Paul D. Franzon,et al. Nanocell logic gates for molecular computing , 2002 .
[64] Henry Markram,et al. The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series , 2002 .
[65] M. Reed,et al. Molecular random access memory cell , 2001 .
[66] Herbert Jaeger,et al. The''echo state''approach to analysing and training recurrent neural networks , 2001 .
[67] Chen,et al. Large On-Off Ratios and Negative Differential Resistance in a Molecular Electronic Device. , 1999, Science.
[68] R.H. Dennard,et al. Design Of Ion-implanted MOSFET's with Very Small Physical Dimensions , 1974, Proceedings of the IEEE.
[69] Christopher G. Langton,et al. Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .
[70] Carver Mead,et al. Analog VLSI and neural systems , 1989 .
[71] E. Gardner,et al. Optimal storage properties of neural network models , 1988 .
[72] B. Derrida. Dynamical phase transition in nonsymmetric spin glasses , 1987 .
[73] B. Derrida,et al. Random networks of automata: a simple annealed approximation , 1986 .
[74] L.O. Chua,et al. Memristive devices and systems , 1976, Proceedings of the IEEE.
[75] L. Chua. Memristor-The missing circuit element , 1971 .