Year |
Citation |
Score |
2024 |
D'Agostino S, Moro F, Torchet T, Demirağ Y, Grenouillet L, Castellani N, Indiveri G, Vianello E, Payvand M. DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays. Nature Communications. 15: 3446. PMID 38658524 DOI: 10.1038/s41467-024-47764-w |
0.358 |
|
2024 |
Costa F, Schaft EV, Huiskamp G, Aarnoutse EJ, Van't Klooster MA, Krayenbühl N, Ramantani G, Zijlmans M, Indiveri G, Sarnthein J. Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework. Nature Communications. 15: 3255. PMID 38627406 DOI: 10.1038/s41467-024-47495-y |
0.305 |
|
2023 |
Lebanov A, Velazquez Lopez M, De Roose F, Papadopoulos NP, Indiveri G, Rubino A, Payvand M, Smout S, Willegems M, Catthoor F, Genoe J, Heremans P, Myny K. Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications. Ieee Transactions On Biomedical Circuits and Systems. PMID 37782619 DOI: 10.1109/TBCAS.2023.3321506 |
0.361 |
|
2022 |
Payvand M, Moro F, Nomura K, Dalgaty T, Vianello E, Nishi Y, Indiveri G. Author Correction: Self-organization of an inhomogeneous memristive hardware for sequence learning. Nature Communications. 13: 6526. PMID 36316340 DOI: 10.1038/s41467-022-34322-5 |
0.752 |
|
2022 |
Payvand M, Moro F, Nomura K, Dalgaty T, Vianello E, Nishi Y, Indiveri G. Self-organization of an inhomogeneous memristive hardware for sequence learning. Nature Communications. 13: 5793. PMID 36184665 DOI: 10.1038/s41467-022-33476-6 |
0.823 |
|
2022 |
Moro F, Hardy E, Fain B, Dalgaty T, Clémençon P, De Prà A, Esmanhotto E, Castellani N, Blard F, Gardien F, Mesquida T, Rummens F, Esseni D, Casas J, Indiveri G, et al. Neuromorphic object localization using resistive memories and ultrasonic transducers. Nature Communications. 13: 3506. PMID 35717413 DOI: 10.1038/s41467-022-31157-y |
0.78 |
|
2022 |
John RA, Demirağ Y, Shynkarenko Y, Berezovska Y, Ohannessian N, Payvand M, Zeng P, Bodnarchuk MI, Krumeich F, Kara G, Shorubalko I, Nair MV, Cooke GA, Lippert T, Indiveri G, et al. Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing. Nature Communications. 13: 2074. PMID 35440122 DOI: 10.1038/s41467-022-29727-1 |
0.779 |
|
2022 |
Dellaferrera G, Woźniak S, Indiveri G, Pantazi A, Eleftheriou E. Introducing principles of synaptic integration in the optimization of deep neural networks. Nature Communications. 13: 1885. PMID 35393422 DOI: 10.1038/s41467-022-29491-2 |
0.316 |
|
2022 |
Bartolozzi C, Indiveri G, Donati E. Author Correction: Embodied neuromorphic intelligence. Nature Communications. 13: 1415. PMID 35277530 DOI: 10.1038/s41467-022-29119-5 |
0.432 |
|
2022 |
Bartolozzi C, Indiveri G, Donati E. Embodied neuromorphic intelligence. Nature Communications. 13: 1024. PMID 35197450 DOI: 10.1038/s41467-022-28487-2 |
0.501 |
|
2021 |
Büchel J, Zendrikov D, Solinas S, Indiveri G, Muir DR. Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. Scientific Reports. 11: 23376. PMID 34862429 DOI: 10.1038/s41598-021-02779-x |
0.816 |
|
2021 |
Krause R, van Bavel JJA, Wu C, Vos MA, Nogaret A, Indiveri G. Robust neuromorphic coupled oscillators for adaptive pacemakers. Scientific Reports. 11: 18073. PMID 34508121 DOI: 10.1038/s41598-021-97314-3 |
0.334 |
|
2021 |
Vanattou-Saïfoudine N, Han C, Krause R, Vasilaki E, von der Behrens W, Indiveri G. A robust model of Stimulus-Specific Adaptation validated on neuromorphic hardware. Scientific Reports. 11: 17904. PMID 34504155 DOI: 10.1038/s41598-021-97217-3 |
0.353 |
|
2020 |
Rahimiazghadi M, Lammie C, Eshraghian JK, Payvand M, Donati E, Linares-Barranco B, Indiveri G. Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. Ieee Transactions On Biomedical Circuits and Systems. PMID 33156792 DOI: 10.1109/TBCAS.2020.3036081 |
0.813 |
|
2020 |
Haessig G, Milde MB, Aceituno PV, Oubari O, Knight JC, van Schaik A, Benosman RB, Indiveri G. Event-Based Computation for Touch Localization Based on Precise Spike Timing. Frontiers in Neuroscience. 14: 420. PMID 32528239 DOI: 10.3389/fnins.2020.00420 |
0.389 |
|
2020 |
Serb A, Corna A, George R, Khiat A, Rocchi F, Reato M, Maschietto M, Mayr C, Indiveri G, Vassanelli S, Prodromakis T. Author Correction: Memristive synapses connect brain and silicon spiking neurons. Scientific Reports. 10: 9584. PMID 32513955 DOI: 10.1038/S41598-020-66548-Y |
0.383 |
|
2020 |
Serb A, Corna A, George R, Khiat A, Rocchi F, Reato M, Maschietto M, Mayr C, Indiveri G, Vassanelli S, Prodromakis T. Memristive synapses connect brain and silicon spiking neurons. Scientific Reports. 10: 2590. PMID 32098971 DOI: 10.1038/S41598-020-58831-9 |
0.416 |
|
2020 |
Balaji A, Catthoor F, Das A, Wu Y, Huynh K, Dell'Anna FG, Indiveri G, Krichmar JL, Dutt ND, Schaafsma S. Mapping Spiking Neural Networks to Neuromorphic Hardware Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 28: 76-86. DOI: 10.1109/Tvlsi.2019.2951493 |
0.403 |
|
2020 |
Chicca E, Indiveri G. A recipe for creating ideal hybrid memristive-CMOS neuromorphic processing systems Applied Physics Letters. 116: 120501. DOI: 10.1063/1.5142089 |
0.8 |
|
2019 |
Abu-Hassan K, Taylor JD, Morris PG, Donati E, Bortolotto ZA, Indiveri G, Paton JFR, Nogaret A. Optimal solid state neurons. Nature Communications. 10: 5309. PMID 31796727 DOI: 10.1038/S41467-019-13177-3 |
0.408 |
|
2019 |
Bauer FC, Muir DR, Indiveri G. Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor. Ieee Transactions On Biomedical Circuits and Systems. PMID 31715572 DOI: 10.1109/TBCAS.2019.2953001 |
0.795 |
|
2019 |
Salt L, Howard D, Indiveri G, Sandamirskaya Y. Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. Ieee Transactions On Neural Networks and Learning Systems. PMID 31613785 DOI: 10.1109/TNNLS.2019.2941506 |
0.423 |
|
2019 |
Donati E, Payvand M, Risi N, Krause RB, Indiveri G. Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network. Ieee Transactions On Biomedical Circuits and Systems. PMID 31251192 DOI: 10.1109/Tbcas.2019.2925454 |
0.829 |
|
2019 |
Brivio S, Conti D, Nair MV, Frascaroli J, Covi E, Ricciardi C, Indiveri G, Spiga S. Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics. Nanotechnology. 30: 015102. PMID 30378572 DOI: 10.1088/1361-6528/aae81c |
0.436 |
|
2019 |
Strukov D, Indiveri G, Grollier J, Fusi S. Building brain-inspired computing Nature Communications. DOI: 10.3929/Ethz-B-000394590 |
0.515 |
|
2019 |
Liang D, Indiveri G. A Neuromorphic Computational Primitive for Robust Context-Dependent Decision Making and Context-Dependent Stochastic Computation Ieee Transactions On Circuits and Systems Ii-Express Briefs. 66: 843-847. DOI: 10.1109/Tcsii.2019.2907848 |
0.442 |
|
2019 |
Indiveri G, Sandamirskaya Y. The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment Ieee Signal Processing Magazine. 36: 16-28. DOI: 10.1109/MSP.2019.2928376 |
0.424 |
|
2019 |
Dalgaty T, Payvand M, Moro F, Ly DRB, Pebay-Peyroula F, Casas J, Indiveri G, Vianello E. Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms Apl Materials. 7: 081125. DOI: 10.1063/1.5108663 |
0.521 |
|
2018 |
Thakur CS, Molin JL, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R, Chicca E, Hasler JO, Seo JS, Yu S, Cao Y, van Schaik A, Etienne-Cummings R. Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Frontiers in Neuroscience. 12: 991. PMID 30666180 DOI: 10.3389/Fnins.2018.00991 |
0.76 |
|
2018 |
Thakur CS, Molin JL, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R, Chicca E, Olson Hasler J, Seo JS, Yu S, Cao Y, van Schaik A, Etienne-Cummings R. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Frontiers in Neuroscience. 12: 891. PMID 30559644 DOI: 10.3389/Fnins.2018.00891 |
0.801 |
|
2018 |
Kreiser R, Aathmani D, Qiao N, Indiveri G, Sandamirskaya Y. Organizing Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields. Frontiers in Neuroscience. 12: 717. PMID 30524218 DOI: 10.3389/fnins.2018.00717 |
0.503 |
|
2018 |
Payvand M, Nair MV, Müller LK, Indiveri G. A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation. Faraday Discussions. PMID 30357205 DOI: 10.1039/c8fd00114f |
0.812 |
|
2018 |
Moradi S, Qiao N, Stefanini F, Indiveri G. A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs). Ieee Transactions On Biomedical Circuits and Systems. 12: 106-122. PMID 29377800 DOI: 10.1109/Tbcas.2017.2759700 |
0.786 |
|
2018 |
Covi E, George R, Frascaroli J, Brivio S, Mayr CG, Mostafa H, Indiveri G, Spiga S. Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons Journal of Physics D. 51: 344003. DOI: 10.1088/1361-6463/Aad361 |
0.441 |
|
2017 |
Qiao N, Bartolozzi C, Indiveri G. An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks. Ieee Transactions On Biomedical Circuits and Systems. 11: 1271-1277. PMID 29293423 DOI: 10.1109/Tbcas.2017.2754383 |
0.603 |
|
2017 |
Milde MB, Blum H, Dietmüller A, Sumislawska D, Conradt J, Indiveri G, Sandamirskaya Y. Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System. Frontiers in Neurorobotics. 11: 28. PMID 28747883 DOI: 10.3389/Fnbot.2017.00028 |
0.662 |
|
2017 |
Osswald M, Ieng SH, Benosman R, Indiveri G. Corrigendum: A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems. Scientific Reports. 7: 44722. PMID 28300192 DOI: 10.1038/srep44722 |
0.374 |
|
2017 |
Osswald M, Ieng SH, Benosman R, Indiveri G. A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems. Scientific Reports. 7: 40703. PMID 28079187 DOI: 10.1038/srep40703 |
0.43 |
|
2017 |
Nair MV, Muller LK, Indiveri G. A differential memristive synapse circuit for on-line learning in neuromorphic computing systems Nano Futures. 1: 035003. DOI: 10.1088/2399-1984/aa954a |
0.423 |
|
2017 |
Zidan MA, Chen A, Indiveri G, Lu WD. Memristive computing devices and applications Journal of Electroceramics. 39: 4-20. DOI: 10.1007/S10832-017-0103-0 |
0.336 |
|
2016 |
Boi F, Moraitis T, De Feo V, Diotalevi F, Bartolozzi C, Indiveri G, Vato A. A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder. Frontiers in Neuroscience. 10: 563. PMID 28018162 DOI: 10.3389/Fnins.2016.00563 |
0.633 |
|
2016 |
Berdan R, Vasilaki E, Khiat A, Indiveri G, Serb A, Prodromakis T. Emulating short-term synaptic dynamics with memristive devices. Scientific Reports. 6: 18639. PMID 26725838 DOI: 10.1038/Srep18639 |
0.359 |
|
2015 |
Mostafa H, Müller LK, Indiveri G. An event-based architecture for solving constraint satisfaction problems. Nature Communications. 6: 8941. PMID 26642827 DOI: 10.1038/ncomms9941 |
0.306 |
|
2015 |
Corradi F, Indiveri G. A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces. Ieee Transactions On Biomedical Circuits and Systems. PMID 26513801 DOI: 10.1109/TBCAS.2015.2479256 |
0.463 |
|
2015 |
Mostafa H, Müller LK, Indiveri G. Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States. Neural Computation. 1-38. PMID 26496042 DOI: 10.1162/NECO_a_00785 |
0.432 |
|
2015 |
Mostafa H, Khiat A, Serb A, Mayr CG, Indiveri G, Prodromakis T. Implementation of a spike-based perceptron learning rule using TiO2-x memristors. Frontiers in Neuroscience. 9: 357. PMID 26483629 DOI: 10.3389/Fnins.2015.00357 |
0.421 |
|
2015 |
Qiao N, Mostafa H, Corradi F, Osswald M, Stefanini F, Sumislawska D, Indiveri G. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Frontiers in Neuroscience. 9: 141. PMID 25972778 DOI: 10.3389/Fnins.2015.00141 |
0.809 |
|
2015 |
Qiao N, Mostafa H, Corradi F, Osswald M, Stefanini F, Sumislawska D, Indiveri G. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses Frontiers in Neuroscience. 9. DOI: 10.3389/fnins.2015.00141 |
0.748 |
|
2015 |
Binas J, Indiveri G, Pfeiffer M. Local structure supports learning of deterministic behavior in recurrent neural networks Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P195 |
0.611 |
|
2015 |
George RM, Diehl PU, Cook M, Mayr C, Indiveri G. Modeling the interplay between structural plasticity and spike-timing-dependent plasticity Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P107 |
0.451 |
|
2015 |
Azghadi MR, Moradi S, Fasnacht DB, Ozdas MS, Indiveri G. Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures Acm Journal On Emerging Technologies in Computing Systems. 12. DOI: 10.1145/2658998 |
0.498 |
|
2015 |
Boi F, Diotalevi F, Stefanini F, Indiveri G, Bartolozzi C, Vato A. A modular configurable system for closed-loop bidirectional brain-machine interfaces International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 198-201. DOI: 10.1109/NER.2015.7146594 |
0.741 |
|
2015 |
Corradi F, You H, Giulioni M, Indiveri G. Decision making and perceptual bistability in spike-based neuromorphic VLSI systems Proceedings - Ieee International Symposium On Circuits and Systems. 2015: 2708-2711. DOI: 10.1109/ISCAS.2015.7169245 |
0.478 |
|
2015 |
Binas J, Indiveri G, Pfeiffer M. Local structure helps learning optimized automata in recurrent neural networks Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280714 |
0.471 |
|
2014 |
Papadimitriou KI, Liu SC, Indiveri G, Drakakis EM. Neuromorphic log-domain silicon synapse circuits obey bernoulli dynamics: a unifying tutorial analysis. Frontiers in Neuroscience. 8: 428. PMID 25653579 DOI: 10.3389/fnins.2014.00428 |
0.317 |
|
2014 |
Corradi F, Zambrano D, Raglianti M, Passetti G, Laschi C, Indiveri G. Towards a neuromorphic vestibular system. Ieee Transactions On Biomedical Circuits and Systems. 8: 669-80. PMID 25314706 DOI: 10.1109/TBCAS.2014.2358493 |
0.45 |
|
2014 |
Stefanini F, Neftci EO, Sheik S, Indiveri G. PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers in Neuroinformatics. 8: 73. PMID 25232314 DOI: 10.3389/Fninf.2014.00073 |
0.82 |
|
2014 |
Binas J, Rutishauser U, Indiveri G, Pfeiffer M. Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity. Frontiers in Computational Neuroscience. 8: 68. PMID 25071538 DOI: 10.3389/Fncom.2014.00068 |
0.707 |
|
2014 |
Mostafa H, Indiveri G. Sequential activity in asymmetrically coupled winner-take-all circuits. Neural Computation. 26: 1973-2004. PMID 24877737 DOI: 10.1162/NECO_a_00619 |
0.373 |
|
2014 |
Moradi S, Indiveri G. An event-based neural network architecture with an asynchronous programmable synaptic memory. Ieee Transactions On Biomedical Circuits and Systems. 8: 98-107. PMID 24681923 DOI: 10.1109/TBCAS.2013.2255873 |
0.438 |
|
2014 |
Sandin F, Khan AI, Dyer AG, Amin AHM, Indiveri G, Chicca E, Osipov E. Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects? Journal of Software Engineering and Applications. 7: 387-395. DOI: 10.4236/Jsea.2014.75035 |
0.794 |
|
2014 |
Mandloi NK, Indiveri G, Bartolozzi C. Compact analog temporal edge detector circuit with programmable adaptive threshold for neuromorphic vision sensors Ieee Transactions On Circuits and Systems I: Regular Papers. 61: 3094-3104. DOI: 10.1109/Tcsi.2014.2334812 |
0.567 |
|
2014 |
Chicca E, Stefanini F, Bartolozzi C, Indiveri G. Neuromorphic electronic circuits for building autonomous cognitive systems Proceedings of the Ieee. 102: 1367-1388. DOI: 10.1109/JPROC.2014.2313954 |
0.766 |
|
2014 |
Rovere G, Ning Q, Bartolozzi C, Indiveri G. Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures Proceedings - Ieee International Symposium On Circuits and Systems. 2073-2076. DOI: 10.1109/ISCAS.2014.6865574 |
0.512 |
|
2014 |
Mostafa H, Corradi F, Stefanini F, Indiveri G. A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures Proceedings - Ieee International Symposium On Circuits and Systems. 854-857. DOI: 10.1109/ISCAS.2014.6865270 |
0.774 |
|
2014 |
Mandloi NK, Bartolozzi C, Indiveri G. Smart motion sensing for autonomous robots Ieee 2014 Biomedical Circuits and Systems Conference, Biocas 2014 - Proceedings. 520-523. DOI: 10.1109/BioCAS.2014.6981777 |
0.433 |
|
2013 |
Coath M, Sheik S, Chicca E, Indiveri G, Denham SL, Wennekers T. A robust sound perception model suitable for neuromorphic implementation. Frontiers in Neuroscience. 7: 278. PMID 24478621 DOI: 10.3389/Fnins.2013.00278 |
0.825 |
|
2013 |
Indiveri G, Linares-Barranco B, Legenstein R, Deligeorgis G, Prodromakis T. Integration of nanoscale memristor synapses in neuromorphic computing architectures. Nanotechnology. 24: 384010. PMID 23999381 DOI: 10.1088/0957-4484/24/38/384010 |
0.417 |
|
2013 |
Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America. 110: E3468-76. PMID 23878215 DOI: 10.1073/Pnas.1212083110 |
0.811 |
|
2013 |
Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G, Linares-Barranco B. STDP and STDP variations with memristors for spiking neuromorphic learning systems. Frontiers in Neuroscience. 7: 2. PMID 23423540 DOI: 10.3389/Fnins.2013.00002 |
0.445 |
|
2013 |
Kasabov N, Dhoble K, Nuntalid N, Indiveri G. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition. Neural Networks : the Official Journal of the International Neural Network Society. 41: 188-201. PMID 23340243 DOI: 10.1016/j.neunet.2012.11.014 |
0.395 |
|
2013 |
Sheik S, Pfeiffer M, Stefanini F, Indiveri G. Spatio-temporal spike pattern classification in neuromorphic systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8064: 262-273. DOI: 10.1007/978-3-642-39802-5-23 |
0.757 |
|
2012 |
Neftci EO, Toth B, Indiveri G, Abarbanel HD. Dynamic state and parameter estimation applied to neuromorphic systems. Neural Computation. 24: 1669-94. PMID 22428591 DOI: 10.1162/Neco_A_00293 |
0.805 |
|
2012 |
Sheik S, Coath M, Indiveri G, Denham SL, Wennekers T, Chicca E. Emergent Auditory Feature Tuning in a Real-Time Neuromorphic VLSI System. Frontiers in Neuroscience. 6: 17. PMID 22347163 DOI: 10.3389/Fnins.2012.00017 |
0.827 |
|
2012 |
Corneil D, Sonnleithner D, Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Real-time inference in a VLSI spiking neural network Iscas 2012 - 2012 Ieee International Symposium On Circuits and Systems. 2425-2428. DOI: 10.1109/ISCAS.2012.6271788 |
0.799 |
|
2012 |
Corneil D, Sonnleithner D, Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Function approximation with uncertainty propagation in a VLSI spiking neural network Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252780 |
0.793 |
|
2012 |
Sheik S, Chicca E, Indiveri G. Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252636 |
0.751 |
|
2012 |
Neftci E, Binas J, Chicca E, Indiveri G, Douglas R. Systematic construction of finite state automata using VLSI spiking neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7375: 382-383. DOI: 10.1007/978-3-642-31525-1_52 |
0.786 |
|
2011 |
Mill R, Sheik S, Indiveri G, Denham SL. A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI. Ieee Transactions On Biomedical Circuits and Systems. 5: 413-9. PMID 23852174 DOI: 10.1109/TBCAS.2011.2163155 |
0.385 |
|
2011 |
Indiveri G, Horiuchi TK. Frontiers in neuromorphic engineering. Frontiers in Neuroscience. 5: 118. PMID 22013408 DOI: 10.3389/fnins.2011.00118 |
0.675 |
|
2011 |
Indiveri G, Linares-Barranco B, Hamilton TJ, van Schaik A, Etienne-Cummings R, Delbruck T, Liu SC, Dudek P, Häfliger P, Renaud S, Schemmel J, Cauwenberghs G, Arthur J, Hynna K, Folowosele F, et al. Neuromorphic silicon neuron circuits. Frontiers in Neuroscience. 5: 73. PMID 21747754 DOI: 10.3389/Fnins.2011.00073 |
0.71 |
|
2011 |
Neftci E, Chicca E, Indiveri G, Douglas R. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation. 23: 2457-97. PMID 21732859 DOI: 10.1162/Neco_A_00182 |
0.821 |
|
2011 |
Bartolozzi C, Mandloi NK, Indiveri G. Attentive motion sensor for mobile robotic applications Proceedings - Ieee International Symposium On Circuits and Systems. 2813-2816. DOI: 10.1109/ISCAS.2011.5938190 |
0.443 |
|
2011 |
Abshire P, Bermak A, Berner R, Cauwenberghs G, Chen S, Christen JB, Constandinou T, Culurciello E, Dandin M, Datta T, Delbruck T, Dudek P, Eftekhar A, Etienne-Cummings R, Indiveri G, et al. Confession session: Learning from others mistakes Proceedings - Ieee International Symposium On Circuits and Systems. 1149-1162. DOI: 10.1109/ISCAS.2011.5937774 |
0.533 |
|
2011 |
Sheik S, Stefanini F, Neftci E, Chicca E, Indiveri G. Systematic configuration and automatic tuning of neuromorphic systems Proceedings - Ieee International Symposium On Circuits and Systems. 873-876. DOI: 10.1109/ISCAS.2011.5937705 |
0.759 |
|
2011 |
Bartolozzi C, Rea F, Clercq C, Fasnacht DB, Indiveri G, Hofstätter M, Metta G. Embedded neuromorphic vision for humanoid robots Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. DOI: 10.1109/CVPRW.2011.5981834 |
0.437 |
|
2011 |
Moradi S, Indiveri G. A VLSI network of spiking neurons with an asynchronous static random access memory 2011 Ieee Biomedical Circuits and Systems Conference, Biocas 2011. 277-280. DOI: 10.1109/BioCAS.2011.6107781 |
0.32 |
|
2011 |
Bartolozzi C, Clercq C, Mandloi N, Rea F, Indiveri G, Fasnacht D, Metta G, Hofstätter M, Benosman R. EMorph: Towards neuromorphic robotic vision Procedia Computer Science. 7: 163-165. DOI: 10.1016/J.Procs.2011.09.027 |
0.523 |
|
2010 |
Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. State-dependent sensory processing in networks of VLSI spiking neurons Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2789-2792. DOI: 10.1109/ISCAS.2010.5537007 |
0.815 |
|
2010 |
Neftci E, Chicca E, Cook M, Indiveri G, Douglas R. Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2788. DOI: 10.1109/ISCAS.2010.5537006 |
0.816 |
|
2010 |
Indiveri G, Stefanini F, Chicca E. Spike-based learning with a generalized integrate and fire silicon neuron Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 1951-1954. DOI: 10.1109/ISCAS.2010.5536980 |
0.805 |
|
2010 |
Neftci E, Indiveri G. A device mismatch compensation method for VLSI neural networks 2010 Ieee Biomedical Circuits and Systems Conference, Biocas 2010. 262-265. DOI: 10.1109/BIOCAS.2010.5709621 |
0.802 |
|
2010 |
Emre N, Chicca E, Indiveri G, Douglas R. State-dependent sensory processing in distributed networks of vlsi spiking neurons 4th International Conference On Cognitive Systems, Cogsys 2010. |
0.814 |
|
2009 |
Mitra S, Fusi S, Indiveri G. Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI. Ieee Transactions On Biomedical Circuits and Systems. 3: 32-42. PMID 23853161 DOI: 10.1109/TBCAS.2008.2005781 |
0.66 |
|
2009 |
Bartolozzi C, Indiveri G. Selective attention in multi-chip address-event systems. Sensors (Basel, Switzerland). 9: 5076-8098. PMID 22346689 DOI: 10.3390/S90705076 |
0.588 |
|
2009 |
Orchard G, Bartolozzi C, Indiveri G. Applying neuromorphic vision sensors to planetary landing tasks 2009 Ieee Biomedical Circuits and Systems Conference, Biocas 2009. 201-204. DOI: 10.1109/BIOCAS.2009.5372048 |
0.419 |
|
2009 |
Bartolozzi C, Indiveri G. Global scaling of synaptic efficacy: Homeostasis in silicon synapses Neurocomputing. 72: 726-731. DOI: 10.1016/J.Neucom.2008.05.016 |
0.63 |
|
2009 |
Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition Cognitive Computation. 1: 119-127. DOI: 10.1007/S12559-008-9003-6 |
0.821 |
|
2009 |
Mitra S, Indiveri G, Fusi S. Learning to classify complex patterns using a VLSI network of spiking neurons Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.604 |
|
2009 |
Neftci E, Chicca E, Indiveri G, Slotine JJ, Douglas R. Contraction properties of VLSI cooperative competitive neural networks of spiking neurons Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.819 |
|
2008 |
Indiveri G. Neuromorphic VLSI Models of Selective Attention: From Single Chip Vision Sensors to Multi-chip Systems. Sensors (Basel, Switzerland). 8: 5352-5375. PMID 27873818 DOI: 10.3390/s8095352 |
0.389 |
|
2008 |
Indiveri G, Douglas R, Smith L. Silicon neurons Scholarpedia. 3: 1887. DOI: 10.4249/scholarpedia.1887 |
0.733 |
|
2008 |
Bartolozzi C, Nikolayeva O, Indiveri G. Implementing homeostatic plasticity in VLSI networks of spiking neurons Proceedings of the 15th Ieee International Conference On Electronics, Circuits and Systems, Icecs 2008. 682-685. DOI: 10.1109/ICECS.2008.4674945 |
0.639 |
|
2008 |
Giulioni M, Camilleri P, Dante V, Badoni D, Indiveri G, Braun J, Del Giudice P. A VLSI network of spiking neurons with plastic fully configurable "stop-learning" synapses Proceedings of the 15th Ieee International Conference On Electronics, Circuits and Systems, Icecs 2008. 678-681. DOI: 10.1109/ICECS.2008.4674944 |
0.363 |
|
2007 |
Bartolozzi C, Indiveri G. Synaptic dynamics in analog VLSI. Neural Computation. 19: 2581-603. PMID 17716003 DOI: 10.1162/Neco.2007.19.10.2581 |
0.642 |
|
2007 |
Chicca E, Whatley AM, Lichtsteiner P, Dante V, Delbruck T, Del Giudice P, Douglas RJ, Indiveri G. A multichip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity Ieee Transactions On Circuits and Systems I: Regular Papers. 54: 981-993. DOI: 10.1109/Tcsi.2007.893509 |
0.821 |
|
2007 |
Camilleri P, Giulioni M, Dante V, Badoni D, Indiveri G, Michaelis B, Braun J, Del Giudice P. A neuromorphic aVLSI network chip with configurable plastic synapses Proceedings - 7th International Conference On Hybrid Intelligent Systems, His 2007. 296-301. DOI: 10.1109/ICHIS.2007.4344067 |
0.457 |
|
2007 |
Mitra S, Indiveri G, Fusi S. Robust classification of correlated patterns with a neuromorphic VLSI network of spiking neurons Conference Proceedings - Ieee Biomedical Circuits and Systems Conference Healthcare Technology, Biocas2007. 87-90. DOI: 10.1109/BIOCAS.2007.4463315 |
0.614 |
|
2007 |
Wang HP, Chicca E, Indiveri G, Sejnowski TJ. Reliable computation in noisy backgrounds using real-time neuromorphic hardware Conference Proceedings - Ieee Biomedical Circuits and Systems Conference Healthcare Technology, Biocas2007. 71-74. DOI: 10.1109/BIOCAS.2007.4463311 |
0.758 |
|
2007 |
Bartolozzi C, Indiveri G. A selective attention multi-chip system with dynamic synapses and spiking neurons Advances in Neural Information Processing Systems. 113-120. |
0.571 |
|
2007 |
Chicca E, Indiveri G, Douglas RJ. Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons Advances in Neural Information Processing Systems. 257-264. |
0.819 |
|
2007 |
Indiveri G, Fusi S. Spike-based learning in VLSI networks of integrate-and-fire neurons Proceedings - Ieee International Symposium On Circuits and Systems. 3371-3374. |
0.625 |
|
2006 |
Indiveri G, Chicca E, Douglas R. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 17: 211-21. PMID 16526488 DOI: 10.1109/Tnn.2005.860850 |
0.829 |
|
2006 |
Bartolozzi C, Mitra S, Indiveri G. An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing Ieee 2006 Biomedical Circuits and Systems Conference Healthcare Technology, Biocas 2006. 130-133. DOI: 10.1109/BIOCAS.2006.4600325 |
0.454 |
|
2006 |
Bartolozzi C, Indiveri G. Selective attention implemented with dynamic synapses and integrate-and-fire neurons Neurocomputing. 69: 1971-1976. DOI: 10.1016/J.Neucom.2005.06.022 |
0.628 |
|
2006 |
Chicca E, Lichtsteiner P, Delbruck T, Indiveri G, Douglas RJ. Modeling orientation selectivity using a neuromorphic multi-chip system Proceedings - Ieee International Symposium On Circuits and Systems. 1235-1238. |
0.757 |
|
2006 |
Mitra S, Fusi S, Indiveri G. A VLSI spike-driven dynamic synapse which learns only when necessary Proceedings - Ieee International Symposium On Circuits and Systems. 2777-2780. |
0.506 |
|
2005 |
Muir DR, Indiveri G, Douglas R. Form specifies function: Robust spike-based computation in analog VLSI without precise synaptic weights Proceedings - Ieee International Symposium On Circuits and Systems. 5150-5153. DOI: 10.1109/ISCAS.2005.1465794 |
0.773 |
|
2005 |
Hofstötter C, Gil M, Eng K, Indiveri G, Mintz M, Kramer J, Verschure PFMJ. The cerebellum chip: An analog VLSI implementation of a cerebellar model of classical conditioning Advances in Neural Information Processing Systems. |
0.588 |
|
2004 |
Carota L, Indiveri G, Dante V. A software-hardware selective attention system Neurocomputing. 58: 647-653. DOI: 10.1016/j.neucom.2004.01.109 |
0.338 |
|
2004 |
Rubin DBD, Chicca E, Indiveri G. Characterizing the firing properties of an adaptive analog VLSI neuron Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3141: 189-200. DOI: 10.1007/978-3-540-27835-1_15 |
0.802 |
|
2004 |
Chicca E, Indiveri G, Douglas RJ. An event-based VLSI network of integrate-and-fire neurons Proceedings - Ieee International Symposium On Circuits and Systems. 5: V-357-V-360. |
0.822 |
|
2003 |
Linares-Barranco B, Andreou AG, Indiveri G, Shibata T. Special Issue on Neural Networks Hardware Implementations Ieee Transactions On Neural Networks. 14: 976-977. DOI: 10.1109/Tnn.2003.819420 |
0.304 |
|
2003 |
Chicca E, Indiveri G, Douglas R. An adaptive silicon synapse Proceedings - Ieee International Symposium On Circuits and Systems. 1: I81-I84. |
0.744 |
|
2001 |
Indiveri G. A neuromorphic VLSI device for implementing 2-D selective attention systems. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 12: 1455-63. PMID 18249973 DOI: 10.1109/72.963780 |
0.392 |
|
2001 |
Niebur E, Elhilali M, Obeid I, Werfel J, Blanchard M, Frasca M, Ghose K, Hofstoetter C, Indiveri G, Tilden MW. Research, robots, and reality: A statement on current trends in biorobotics. The Behavioral and Brain Sciences. 24: 1072-1073. PMID 18241384 DOI: 10.1017/S0140525X01450126 |
0.508 |
|
2001 |
Liu SC, Kramer J, Indiveri G, Delbrück T, Burg T, Douglas R. Orientation-selective aVLSI spiking neurons. Neural Networks : the Official Journal of the International Neural Network Society. 14: 629-43. PMID 11665759 DOI: 10.1016/S0893-6080(01)00054-5 |
0.789 |
|
2001 |
Indiveri G. A current-mode hysteretic Winner-take-all network, with excitatory and inhibitory coupling Analog Integrated Circuits and Signal Processing. 28: 279-291. DOI: 10.1023/A:1011208127849 |
0.332 |
|
2001 |
Niebur E, Elhilali M, Obeid I, Werfel J, Blanchard M, Frasca M, Ghose K, Hofstoetter C, Indiveri G, Tilden MW. Research, robots, and reality: A statement on current trends in biorobotics Behavioral and Brain Sciences. 24: 1072-1073. |
0.496 |
|
2000 |
Indiveri G. Modeling selective attention using a neuromorphic analog VLSI device. Neural Computation. 12: 2857-80. PMID 11112258 DOI: 10.1162/089976600300014755 |
0.373 |
|
2000 |
Indiveri G, Douglas R. Robotic vision. Neuromorphic vision sensors. Science (New York, N.Y.). 288: 1189-90. PMID 10841740 DOI: 10.1126/science.288.5469.1189 |
0.711 |
|
1997 |
Indiveri G. Winner-Take-All Networks with Lateral Excitation Analog Integrated Circuits and Signal Processing. 13: 185-193. DOI: 10.1023/A:1008200515504 |
0.421 |
|
1996 |
Sarpeshkar R, Kramer J, Indiveri G, Koch C. Analog VLSI architectures for motion processing: From fundamental limits to system applications Proceedings of the Ieee. 84: 969-987. DOI: 10.1109/5.503298 |
0.321 |
|
1996 |
Indiveri G, Raffo L, Sabatini SP, Bisio GM. A recurrent neural architecture mimicking cortical preattentive vision systems Neurocomputing. 11: 155-170. DOI: 10.1016/0925-2312(94)00067-0 |
0.457 |
|
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