67 Publikationen

Alle markieren

[67]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933297
Thakur, C.S., et al., 2019. Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain (vol 12, 891, 2018). FRONTIERS IN NEUROSCIENCE, 12: 991.
PUB | DOI | WoS | PubMed | Europe PMC
 
[66]
2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2931065
Ziegler, M., et al., 2018. Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning. Journal of Applied Physics, 124(15), p 152003.
PUB | DOI | WoS
 
[65]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932169
Thakur, C.S., et al., 2018. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Frontiers in Neuroscience, 12: 891.
PUB | DOI | WoS | PubMed | Europe PMC
 
[64]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2917487
Milo, V., et al., 2018. Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, pp. 1-5.
PUB | DOI
 
[63]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919435
Milde, M.B., et al., 2018. Spiking Elementary Motion Detector in Neuromorphic Systems. Neural Computation, 30(9), p 2384-2417.
PUB | DOI | WoS | PubMed | Europe PMC
 
[62]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920203
Donati, E., et al., 2018. Open-Loop Neuromorphic Controller Implemented on VLSI Devices. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE, pp. 827-832.
PUB | DOI
 
[61]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2916977
Milo, V., Chicca, E., & Ielmini, D., 2018. Brain-Inspired Recurrent Neural Network with Plastic RRAM Synapses. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, pp. 1-5.
PUB | DOI
 
[60]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919224
Basu, A., et al., 2018. Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(1), p 1-5.
PUB | DOI | WoS
 
[59]
2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2933121
Rüttgers, S., et al., 2018. Unsupervised MNIST Learning in an analog Spiking Neural Network using digital memristive devices. Presented at the Conference in Cognitive Computing 2018, Hannover.
PUB
 
[58]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932091
Mulaosmanovic, H., et al., 2018. Mimicking biological neurons with a nanoscale ferroelectric transistor. Nanoscale.
PUB | DOI | WoS | PubMed | Europe PMC
 
[57]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910069
Perez-Peña, F., et al., 2017. Towards Bioinspired Close-Loop Local Motor Control. A Simulated Approach Supporting Neuromorphic Implementations. In 2017 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[56]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914471
Milo, V., Ielmini, D., & Chicca, E., 2017. Attractor networks and associative memories with STDP learning in RRAM synapses. In 2017 International Electron Devices Meeting. Technical digest. Piscataway, NJ: IEEE, pp. 11.2.1-11.2.4.
PUB | DOI
 
[55]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906359
Schirmer, M., et al., 2016. FPGA-based approach for automatic peak detection in cyclic voltammetry. In 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS). Piscataway, NJ: IEEE, pp. 65-68.
PUB | DOI
 
[54]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903317
Mayr, C.G., et al., 2016. Synaptic Plasticity for Neuromorphic Systems. Frontiers in Neuroscience, 10: 214.
PUB | DOI | WoS | PubMed | Europe PMC
 
[53]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905748
Engelmann, J., et al., 2016. Modeling latency code processing in the electric sense: from the biological template to its VLSI implementation. Bioinspiration & Biomimetics, 11(5): 055007.
PUB | DOI | WoS | PubMed | Europe PMC
 
[52]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906575
Maldonado Huayaney, F.L., Nease, S., & Chicca, E., 2016. Learning in Silicon Beyond STDP: A Neuromorphic Implementation of Multi-Factor Synaptic Plasticity With Calcium-Based Dynamics. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(12), p 2189-2199.
PUB | DOI | Download (ext.) | WoS
 
[51]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902825
Nease, S., & Chicca, E., 2016. Floating-Gate-Based Intrinsic Plasticity with Low-Voltage Rate Control. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE.
PUB | DOI
 
[50]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902824
Maldonado Huayaney, F.L., & Chicca, E., 2016. A VLSI Implementation of a calcium-based plasticity learning model. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 373-376.
PUB | DOI
 
[49]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903316
Biolek, D., et al., 2016. EU COST action IC1401 — Pushing the frontiers of memristive devices to systems. In 2016 18th Mediterranean Electrotechnical Conference (MELECON). Piscataway, NJ: IEEE, pp. 1-6.
PUB
 
[48]
2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2903477
Chang, J., et al., 2016. Current And Emergent Topics. In F. Maloberti & A. C. Davies, eds. A Short History of Circuits And Systems. Alborg, Denmark: IEEE, CAS, River Publishers, pp. 255-265.
PUB
 
[47]
2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2906914
Maldonado Huayaney, F.L., & Chicca, E., 2016. Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd MemoCIS Training School, Alghero, Italy.
PUB
 
[46]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2767039
Richter, O., et al., 2015. Device Mismatch in a Neuromorphic System Implements Random Features for Regression. In Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE, pp. 1-4.
PUB | PDF | DOI
 
[45]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757270
Nease, S., & Chicca, E., 2015. Power-Efficient Estimation of Silicon Neuron Firing Rates with Floating-Gate Transistors. In 2015 European Conference on Circuit Theory and Design (ECCTD). Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[44]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2765362
Staar, B., et al., 2015. A neural approach to drugs monitoring for personalized medicine. In 2015 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE.
PUB | DOI
 
[43]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759561
Thomas, A., et al., 2015. Tunnel junction based memristors as artificial synapses. Frontiers in Neuroscience, 9: 241.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[42]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757259
Milde, M.B., et al., 2015. Bioinspired event-driven collision avoidance algorithm based on optic flow. In 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE.
PUB | PDF | DOI
 
[41]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2684167
Ramachandran, H., et al., 2014. Neuromorphic Circuits for Short-Term Plasticity with Recovery Control. In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 858-861.
PUB | PDF | DOI
 
[40]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2675066
Chicca, E., et al., 2014. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE, 102(9), p 1367-1388.
PUB | PDF | DOI | WoS
 
[39]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2697513
Perez-Peña, F., Linares-Barranco, A., & Chicca, E., 2014. An Approach to Motor Control for Spike-based Neuromorphic Robotics. In 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings. Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[38]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2698288
Neftci, E., Posch, C., & Chicca, E., 2014. Neuromorphic Engineering. In H. Ishibuchi, ed. Computational Intelligence. Encyclopedia of Life Support Systems(EOLSS). Paris, France: Eolss Publishers.
PUB
 
[37]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2654984
Coath, M., et al., 2014. A robust sound perception model suitable for neuromorphic implementation. Neuromorphic Engineering, 7(278), p 1-10.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[36]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2675855
Sandin, F., et al., 2014. Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects? Journal of Software Engineering and Applications, 7(5), p 387-395.
PUB | PDF | DOI
 
[35]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2697520
Chicca, E., Nawrot, M., & Schmuker, M., 2014. Neuromorphic Sensors, Olfaction. In D. Jeager & R. Jung, eds. Encyclopedia of Computational Neuroscience. SpringerReference. Berlin Heidelberg, Germany: Springer-Verlag.
PUB | DOI
 
[34]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2614728
Morabito, F.C., Andreou, A.G., & Chicca, E., 2013. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks, 45, p 1-3.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[33]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2647430
Rost, T., et al., 2013. A neuromorphic approach to auditory pattern recognition in cricket phonotaxis. In 2013 European Conference on Circuit Theory and Design (ECCTD). IEEE, pp. 1-4.
PUB | PDF | DOI
 
[32]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612571
Neftci, E., et al., 2013. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America, 110(37), p E3468-E3476.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[31]
2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2559693
Aamir, S.A., et al., 2013. A Neuromorphic VLSI Implementation of a Simplified Electrosensory System in a Weakly Electric Fish. Presented at the International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013), Grenoble, France.
PUB | PDF
 
[30]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473510
Corneil, D., et al., 2012. Real-time inference in a VLSI spiking neural network. In 2012 IEEE International Symposium on Circuits and Systems. Piscataway, NJ: IEEE, pp. 2425-2428.
PUB | PDF | DOI
 
[29]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473495
Sheik, S., Chicca, E., & Indiveri, G., 2012. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
PUB | PDF | DOI
 
[28]
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2542681
Neftci, E., et al., 2012. Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In T. J. Prescott, et al., eds. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. no.7375 Berlin, Heidelberg: Springer Science + Business Media, pp. 382-383.
PUB | PDF | DOI | Download (ext.)
 
[27]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473502
Corneil, D., et al., 2012. Function approximation with uncertainty propagation in a VLSI spiking neural network. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
PUB | PDF | DOI
 
[26]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2462428
Sheik, S., et al., 2012. Emergent auditory feature tuning in a real-time neuromorphic VLSI system. Frontiers in Neuroscience, 6: 17.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[25]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426566
Neftci, E., et al., 2011. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation, 23(10), p 2457-2497.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[24]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427822
Sheik, S., et al., 2011. Systematic configuration and automatic tuning of neuromorphic systems. Presented at the International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brasil.
PUB | PDF | DOI
 
[23]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2468427
Indiveri, G., & Chicca, E., 2011. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN)
PUB | PDF | DOI
 
[22]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2427796
Moraud, E.M., & Chicca, E., 2011. Toward Neuromorphic Odor Tracking: Perspectives for space exploration. Acta Futura, 4(8), p 9-19.
PUB | PDF | DOI
 
[21]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427661
Beyeler, M., et al., 2010. Exploring Olfactory Sensory Networks: Simulations and Hardware Emulation. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Paphos.
PUB | PDF | DOI | Download (ext.)
 
[20]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427761
Neftci, E., et al., 2010. State-dependent sensory processing in networks of VLSI spiking neurons. Presented at the International Symposium on Circuits and Systems (ISCAS), Paris.
PUB | PDF | DOI | Download (ext.)
 
[19]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427744
Indiveri, G., Stefanini, F., & Chicca, E., 2010. Spike-based learning with a generalized integrate and fire silicon neuron. Presented at the International Symposium on Circuits and Systems (ISCAS)
PUB | PDF | DOI | Download (ext.)
 
[18]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426571
Indiveri, G., Chicca, E., & Douglas, R.J., 2009. Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition. Cognitive Computation, 1(2), p 119-127.
PUB | PDF | DOI | WoS
 
[17]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427871
Neftci, E., et al., 2008. Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. Presented at the Advances in Neural Information Processing Systems 20 (NIPS), Vancouver, British Columbia, Canada.
PUB | PDF | Download (ext.)
 
[16]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427861
Tapson, J., et al., 2008. The Feeling of Color: A Haptic Feedback Device for the Visually Disabled. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Baltimore, MD.
PUB | PDF | DOI | Download (ext.)
 
[15]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426576
Chicca, E., et al., 2007. A multi-chip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity. IEEE-Transactions on Circuits and Systems I: Regular Papers, 54(5), p 981-993.
PUB | PDF | DOI | Download (ext.) | WoS
 
[14]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427704
Chicca, E., Indiveri, G., & Douglas, R.J., 2007. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS)
PUB | PDF
 
[13]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427789
Wang, H.-P., et al., 2007. Reliable Computation in Noisy Backgrounds Using Real-Time Neuromorphic Hardware. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Montreal, Que.
PUB | PDF | DOI | Download (ext.)
 
[12]
2006 | Dissertation | Veröffentlicht | PUB-ID: 2907526
Chicca, E., 2006. A Neuromorphic VLSI System for Modeling Spike-Based Cooperative Competitive Neural Networks, Zürich, Switzerland: ETH Zürich.
PUB | DOI
 
[11]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426586
Indiveri, G., Chicca, E., & Douglas, R.J., 2006. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks, 17(1), p 211-221.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[10]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427696
Chicca, E., et al., 2006. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System. Presented at the Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS)
PUB | PDF | DOI | Download (ext.)
 
[9]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427656
Ben Dayan Rubin, D., Chicca, E., & Indiveri, G., 2004. Firing proprieties of an adaptive analog VLSI neuron. Presented at the Proceedings of Bio-ADIT, Lausanne, Switzerland.
PUB | PDF
 
[8]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427723
Indiveri, G., Chicca, E., & Douglas, R., 2004. A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses. Presented at the Proceedings of 12th European Symposium on Artificial Neural Networks (ESANN), Bruges (Belgium).
PUB | PDF | Download (ext.)
 
[7]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427690
Chicca, E., Indiveri, G., & Douglas, R.J., 2004. An event-based VLSI network of integrate-and-fire neurons. Presented at the Proceedings of the 2004 International Symposium on Circuits and Systems (ISCAS)
PUB | PDF | DOI | Download (ext.)
 
[6]
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426591
Ben Dayan Rubin, D., Chicca, E., & Indiveri, G., 2004. Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology, 3141, p 189-200.
PUB | PDF | DOI | WoS
 
[5]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426595
Chicca, E., et al., 2003. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks, 14(5), p 1297-1307.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[4]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427684
Chicca, E., Indiveri, G., & Douglas, R., 2003. An adaptive silicon synapse. Presented at the Proceedings of the 2003 International Symposium on Circuits and Systems (ISCAS)
PUB | PDF | DOI | Download (ext.)
 
[3]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904718
Delbrück, T., et al., 2001. A Retina/V1 simple cell chip for physiology experiment design or classroom demonstration. Presented at the IEEE CCD and AIS meeting, Lake Tahoe, California, USA.
PUB | Download (ext.)
 
[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2527420
Chicca, E., & Fusi, S., 2001. Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In F. Rattay, ed. Proceedings of the World Congress on Neuroinformatics. Vienna: ARGESIM/ASIM Verlag, pp. 468-477.
PUB | PDF | Download (ext.)
 
[1]
1999 | Report | PUB-ID: 2765078
Chicca, E., 1999. A VLSI neuromorphic device with 128 neurons and 3000 synapses: area optimization and design,
PUB
 

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67 Publikationen

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[67]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933297
Thakur, C.S., et al., 2019. Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain (vol 12, 891, 2018). FRONTIERS IN NEUROSCIENCE, 12: 991.
PUB | DOI | WoS | PubMed | Europe PMC
 
[66]
2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2931065
Ziegler, M., et al., 2018. Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning. Journal of Applied Physics, 124(15), p 152003.
PUB | DOI | WoS
 
[65]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932169
Thakur, C.S., et al., 2018. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Frontiers in Neuroscience, 12: 891.
PUB | DOI | WoS | PubMed | Europe PMC
 
[64]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2917487
Milo, V., et al., 2018. Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, pp. 1-5.
PUB | DOI
 
[63]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919435
Milde, M.B., et al., 2018. Spiking Elementary Motion Detector in Neuromorphic Systems. Neural Computation, 30(9), p 2384-2417.
PUB | DOI | WoS | PubMed | Europe PMC
 
[62]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920203
Donati, E., et al., 2018. Open-Loop Neuromorphic Controller Implemented on VLSI Devices. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE, pp. 827-832.
PUB | DOI
 
[61]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2916977
Milo, V., Chicca, E., & Ielmini, D., 2018. Brain-Inspired Recurrent Neural Network with Plastic RRAM Synapses. In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, pp. 1-5.
PUB | DOI
 
[60]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919224
Basu, A., et al., 2018. Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(1), p 1-5.
PUB | DOI | WoS
 
[59]
2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2933121
Rüttgers, S., et al., 2018. Unsupervised MNIST Learning in an analog Spiking Neural Network using digital memristive devices. Presented at the Conference in Cognitive Computing 2018, Hannover.
PUB
 
[58]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932091
Mulaosmanovic, H., et al., 2018. Mimicking biological neurons with a nanoscale ferroelectric transistor. Nanoscale.
PUB | DOI | WoS | PubMed | Europe PMC
 
[57]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910069
Perez-Peña, F., et al., 2017. Towards Bioinspired Close-Loop Local Motor Control. A Simulated Approach Supporting Neuromorphic Implementations. In 2017 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[56]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914471
Milo, V., Ielmini, D., & Chicca, E., 2017. Attractor networks and associative memories with STDP learning in RRAM synapses. In 2017 International Electron Devices Meeting. Technical digest. Piscataway, NJ: IEEE, pp. 11.2.1-11.2.4.
PUB | DOI
 
[55]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906359
Schirmer, M., et al., 2016. FPGA-based approach for automatic peak detection in cyclic voltammetry. In 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS). Piscataway, NJ: IEEE, pp. 65-68.
PUB | DOI
 
[54]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903317
Mayr, C.G., et al., 2016. Synaptic Plasticity for Neuromorphic Systems. Frontiers in Neuroscience, 10: 214.
PUB | DOI | WoS | PubMed | Europe PMC
 
[53]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905748
Engelmann, J., et al., 2016. Modeling latency code processing in the electric sense: from the biological template to its VLSI implementation. Bioinspiration & Biomimetics, 11(5): 055007.
PUB | DOI | WoS | PubMed | Europe PMC
 
[52]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2906575
Maldonado Huayaney, F.L., Nease, S., & Chicca, E., 2016. Learning in Silicon Beyond STDP: A Neuromorphic Implementation of Multi-Factor Synaptic Plasticity With Calcium-Based Dynamics. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(12), p 2189-2199.
PUB | DOI | Download (ext.) | WoS
 
[51]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902825
Nease, S., & Chicca, E., 2016. Floating-Gate-Based Intrinsic Plasticity with Low-Voltage Rate Control. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE.
PUB | DOI
 
[50]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902824
Maldonado Huayaney, F.L., & Chicca, E., 2016. A VLSI Implementation of a calcium-based plasticity learning model. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 373-376.
PUB | DOI
 
[49]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903316
Biolek, D., et al., 2016. EU COST action IC1401 — Pushing the frontiers of memristive devices to systems. In 2016 18th Mediterranean Electrotechnical Conference (MELECON). Piscataway, NJ: IEEE, pp. 1-6.
PUB
 
[48]
2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2903477
Chang, J., et al., 2016. Current And Emergent Topics. In F. Maloberti & A. C. Davies, eds. A Short History of Circuits And Systems. Alborg, Denmark: IEEE, CAS, River Publishers, pp. 255-265.
PUB
 
[47]
2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2906914
Maldonado Huayaney, F.L., & Chicca, E., 2016. Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd MemoCIS Training School, Alghero, Italy.
PUB
 
[46]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2767039
Richter, O., et al., 2015. Device Mismatch in a Neuromorphic System Implements Random Features for Regression. In Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE, pp. 1-4.
PUB | PDF | DOI
 
[45]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757270
Nease, S., & Chicca, E., 2015. Power-Efficient Estimation of Silicon Neuron Firing Rates with Floating-Gate Transistors. In 2015 European Conference on Circuit Theory and Design (ECCTD). Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[44]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2765362
Staar, B., et al., 2015. A neural approach to drugs monitoring for personalized medicine. In 2015 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE.
PUB | DOI
 
[43]
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759561
Thomas, A., et al., 2015. Tunnel junction based memristors as artificial synapses. Frontiers in Neuroscience, 9: 241.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[42]
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757259
Milde, M.B., et al., 2015. Bioinspired event-driven collision avoidance algorithm based on optic flow. In 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE.
PUB | PDF | DOI
 
[41]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2684167
Ramachandran, H., et al., 2014. Neuromorphic Circuits for Short-Term Plasticity with Recovery Control. In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, pp. 858-861.
PUB | PDF | DOI
 
[40]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2675066
Chicca, E., et al., 2014. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE, 102(9), p 1367-1388.
PUB | PDF | DOI | WoS
 
[39]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2697513
Perez-Peña, F., Linares-Barranco, A., & Chicca, E., 2014. An Approach to Motor Control for Spike-based Neuromorphic Robotics. In 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings. Piscataway, NJ: IEEE, pp. 1-4.
PUB | DOI
 
[38]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2698288
Neftci, E., Posch, C., & Chicca, E., 2014. Neuromorphic Engineering. In H. Ishibuchi, ed. Computational Intelligence. Encyclopedia of Life Support Systems(EOLSS). Paris, France: Eolss Publishers.
PUB
 
[37]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2654984
Coath, M., et al., 2014. A robust sound perception model suitable for neuromorphic implementation. Neuromorphic Engineering, 7(278), p 1-10.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[36]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2675855
Sandin, F., et al., 2014. Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects? Journal of Software Engineering and Applications, 7(5), p 387-395.
PUB | PDF | DOI
 
[35]
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2697520
Chicca, E., Nawrot, M., & Schmuker, M., 2014. Neuromorphic Sensors, Olfaction. In D. Jeager & R. Jung, eds. Encyclopedia of Computational Neuroscience. SpringerReference. Berlin Heidelberg, Germany: Springer-Verlag.
PUB | DOI
 
[34]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2614728
Morabito, F.C., Andreou, A.G., & Chicca, E., 2013. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks, 45, p 1-3.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[33]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2647430
Rost, T., et al., 2013. A neuromorphic approach to auditory pattern recognition in cricket phonotaxis. In 2013 European Conference on Circuit Theory and Design (ECCTD). IEEE, pp. 1-4.
PUB | PDF | DOI
 
[32]
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612571
Neftci, E., et al., 2013. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America, 110(37), p E3468-E3476.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[31]
2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2559693
Aamir, S.A., et al., 2013. A Neuromorphic VLSI Implementation of a Simplified Electrosensory System in a Weakly Electric Fish. Presented at the International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013), Grenoble, France.
PUB | PDF
 
[30]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473510
Corneil, D., et al., 2012. Real-time inference in a VLSI spiking neural network. In 2012 IEEE International Symposium on Circuits and Systems. Piscataway, NJ: IEEE, pp. 2425-2428.
PUB | PDF | DOI
 
[29]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473495
Sheik, S., Chicca, E., & Indiveri, G., 2012. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
PUB | PDF | DOI
 
[28]
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2542681
Neftci, E., et al., 2012. Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In T. J. Prescott, et al., eds. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. no.7375 Berlin, Heidelberg: Springer Science + Business Media, pp. 382-383.
PUB | PDF | DOI | Download (ext.)
 
[27]
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2473502
Corneil, D., et al., 2012. Function approximation with uncertainty propagation in a VLSI spiking neural network. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
PUB | PDF | DOI
 
[26]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2462428
Sheik, S., et al., 2012. Emergent auditory feature tuning in a real-time neuromorphic VLSI system. Frontiers in Neuroscience, 6: 17.
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[25]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426566
Neftci, E., et al., 2011. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation, 23(10), p 2457-2497.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[24]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427822
Sheik, S., et al., 2011. Systematic configuration and automatic tuning of neuromorphic systems. Presented at the International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brasil.
PUB | PDF | DOI
 
[23]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2468427
Indiveri, G., & Chicca, E., 2011. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN)
PUB | PDF | DOI
 
[22]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2427796
Moraud, E.M., & Chicca, E., 2011. Toward Neuromorphic Odor Tracking: Perspectives for space exploration. Acta Futura, 4(8), p 9-19.
PUB | PDF | DOI
 
[21]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427661
Beyeler, M., et al., 2010. Exploring Olfactory Sensory Networks: Simulations and Hardware Emulation. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Paphos.
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[20]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427761
Neftci, E., et al., 2010. State-dependent sensory processing in networks of VLSI spiking neurons. Presented at the International Symposium on Circuits and Systems (ISCAS), Paris.
PUB | PDF | DOI | Download (ext.)
 
[19]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427744
Indiveri, G., Stefanini, F., & Chicca, E., 2010. Spike-based learning with a generalized integrate and fire silicon neuron. Presented at the International Symposium on Circuits and Systems (ISCAS)
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[18]
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426571
Indiveri, G., Chicca, E., & Douglas, R.J., 2009. Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition. Cognitive Computation, 1(2), p 119-127.
PUB | PDF | DOI | WoS
 
[17]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427871
Neftci, E., et al., 2008. Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. Presented at the Advances in Neural Information Processing Systems 20 (NIPS), Vancouver, British Columbia, Canada.
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[16]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427861
Tapson, J., et al., 2008. The Feeling of Color: A Haptic Feedback Device for the Visually Disabled. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Baltimore, MD.
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[15]
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426576
Chicca, E., et al., 2007. A multi-chip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity. IEEE-Transactions on Circuits and Systems I: Regular Papers, 54(5), p 981-993.
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[14]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427704
Chicca, E., Indiveri, G., & Douglas, R.J., 2007. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS)
PUB | PDF
 
[13]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427789
Wang, H.-P., et al., 2007. Reliable Computation in Noisy Backgrounds Using Real-Time Neuromorphic Hardware. Presented at the Biomedical Circuits and Systems Conference (BIOCAS), Montreal, Que.
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[12]
2006 | Dissertation | Veröffentlicht | PUB-ID: 2907526
Chicca, E., 2006. A Neuromorphic VLSI System for Modeling Spike-Based Cooperative Competitive Neural Networks, Zürich, Switzerland: ETH Zürich.
PUB | DOI
 
[11]
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426586
Indiveri, G., Chicca, E., & Douglas, R.J., 2006. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks, 17(1), p 211-221.
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[10]
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427696
Chicca, E., et al., 2006. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System. Presented at the Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS)
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[9]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427656
Ben Dayan Rubin, D., Chicca, E., & Indiveri, G., 2004. Firing proprieties of an adaptive analog VLSI neuron. Presented at the Proceedings of Bio-ADIT, Lausanne, Switzerland.
PUB | PDF
 
[8]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427723
Indiveri, G., Chicca, E., & Douglas, R., 2004. A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses. Presented at the Proceedings of 12th European Symposium on Artificial Neural Networks (ESANN), Bruges (Belgium).
PUB | PDF | Download (ext.)
 
[7]
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427690
Chicca, E., Indiveri, G., & Douglas, R.J., 2004. An event-based VLSI network of integrate-and-fire neurons. Presented at the Proceedings of the 2004 International Symposium on Circuits and Systems (ISCAS)
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[6]
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426591
Ben Dayan Rubin, D., Chicca, E., & Indiveri, G., 2004. Characterizing the firing properties of an adaptive analog VLSI neuron. Biologically Inspired Approaches to Advanced Information Technology, 3141, p 189-200.
PUB | PDF | DOI | WoS
 
[5]
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426595
Chicca, E., et al., 2003. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks, 14(5), p 1297-1307.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[4]
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427684
Chicca, E., Indiveri, G., & Douglas, R., 2003. An adaptive silicon synapse. Presented at the Proceedings of the 2003 International Symposium on Circuits and Systems (ISCAS)
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[3]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904718
Delbrück, T., et al., 2001. A Retina/V1 simple cell chip for physiology experiment design or classroom demonstration. Presented at the IEEE CCD and AIS meeting, Lake Tahoe, California, USA.
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[2]
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2527420
Chicca, E., & Fusi, S., 2001. Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In F. Rattay, ed. Proceedings of the World Congress on Neuroinformatics. Vienna: ARGESIM/ASIM Verlag, pp. 468-477.
PUB | PDF | Download (ext.)
 
[1]
1999 | Report | PUB-ID: 2765078
Chicca, E., 1999. A VLSI neuromorphic device with 128 neurons and 3000 synapses: area optimization and design,
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