Publications in ncs.bib
190 results
2016
[190] Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits (, , , ), In International Symposium on Circuits and Systems, (ISCAS), 2016, IEEE, . [bibtex] [pdf]
[189] Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits (, , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2016, . [bibtex] [pdf]
[188] An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems (, ), In Biomedical Circuits and Systems Conference, (BioCAS), 2016, . [bibtex] [pdf]
[187] Scaling mixed-signal neuromorphic processors to 28nm FD-SOI technologies (, ), In Biomedical Circuits and Systems Conference, (BioCAS), 2016, . [bibtex] [pdf]
[186] Beyond Spike-Timing Dependent Plasticity in Memristor Crossbar Arrays (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2016, IEEE, . [bibtex] [pdf]
[185] Resistive Switching: From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications (, , ), Chapter in ReRAM-Based Neuromorphic Computing, Wiley-VCH Verlag GmbH & Co. KGaA, . [bibtex] [pdf] [doi]
[184] Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2016, . [bibtex] [pdf]
[183] Emulating short-term synaptic dynamics with memristive devices (, , , , , ), In Scientific Reports, volume 6, . [bibtex] [pdf] [doi]
2015
[182] Event-based softcore processor in a biohybrid setup applied to structural plasticity (, , , ), In Event-based Control, Communication, and Signal Processing (EBCCSP), 2015 International Conference on, . [bibtex] [pdf] [doi]
[181]Networks and hierarchical routing fabrics with heterogeneous memory structures for scalable event-driven computing systems (, , , ), European patent application EP 15/165272, . (Filed 27.04.2015) [bibtex]
[180] A modular configurable system for closed-loop bidirectional brain-machine interfaces (, , , , , ), In Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, . [bibtex] [pdf] [doi]
[179] Neuromorphic Architectures for Spiking Deep Neural Networks (, , ), In Electron Devices Meeting (IEDM), 2015 IEEE International, . [bibtex] [pdf]
[178] A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses (, , , , , , ), In Frontiers in Neuroscience, volume 9, . [bibtex] [pdf] [doi]
[177] Implementation of a spike-based perceptron learning rule using TiO2−x memristors (, , , , , ), In Frontiers in Neuroscience, volume 9, . [bibtex] [pdf] [doi]
[176] An event-based architecture for solving constraint satisfaction problems (, , ), In Nature Communications, volume 6, . [bibtex] [pdf] [doi]
[175] Rhythmic inhibition allows neural networks to search for maximally consistent states (, , ), In Neural Computation, volume 27, . [bibtex] [pdf] [doi]
[174] Memory and information processing in neuromorphic systems (, ), In Proceedings of the IEEE, IEEE, volume 103, . [bibtex] [pdf] [doi]
[173] Handbook of Computational Intelligence (), Chapter in 38 (J. Kacprzyk, W. Pedrycz, eds.), Springer-Verlag, . [bibtex] [pdf] [doi]
[172] Decision making and perceptual bistability in spike-based neuromorphic VLSI systems (, , , ), In International Symposium on Circuits and Systems (ISCAS), 2015, . [bibtex] [pdf] [doi]
[171] A Neuromorphic Event-based Neural Recording System for Smart Brain-Machine-Interfaces (, ), In Biomedical Circuits and Systems, IEEE Transactions on, volume 9, . [bibtex] [pdf] [doi]
[170] Local Structure Helps Learning Optimized Automata in Recurrent Neural Networks (, , ), In International Joint Conference on Neural Networks, (IJCNN) 2015, . [bibtex] [pdf] [doi]
[169] Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures (, , , , ), In ACM Journal on Emerging Technologies in Computing Systems (JETC), ACM, volume 12, . [bibtex] [pdf] [doi]
2014
[168] Smart motion sensing for autonomous robots (, , ), In Biomedical Circuits and Systems Conference (BioCAS), . [bibtex] [pdf] [doi]
[167] Towards a Neuromorphic Vestibular System (, , , , , ), In Biomedical Circuits and Systems, IEEE Transactions on, IEEE, volume 8, . [bibtex] [pdf] [doi]
[166] Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system (, , ), In Biomedical Circuits and Systems Conference (BioCAS), . [bibtex] [pdf] [doi]
[165] A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI (, , , ), In Biomedical Circuits and Systems Conference (BioCAS), . [bibtex] [pdf] [doi]
[164] Neuromorphic electronic circuits for building autonomous cognitive systems (, , , ), In Proceedings of the IEEE, volume 102, . [bibtex] [pdf] [doi]
[163] Neuromorphic Engineering: Neuromimetic Computation for Understanding the Brain (, , ), IEEE LifeSciences Newsletter, . [bibtex] [pdf]
[162] Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges (, , , , ), In Proceedings of the IEEE, volume 102, . [bibtex] [pdf] [doi]
[161] An event-based neural network architecture with an asynchronous programmable synaptic memory (, ), In Biomedical Circuits and Systems, IEEE Transactions on, volume 8, . [bibtex] [pdf] [doi]
[160] Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects? (, , , , , , ), In Journal of Software Engineering and Applications, volume 7, . [bibtex] [pdf] [doi]
[159] PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems (, , , ), In Frontiers in Neuroinformatics, Frontiers Research Foundation, volume 8, . [bibtex] [pdf] [doi]
[158] Ultra Low Leakage Synaptic Scaling Circuits for Implementing Homeostatic Plasticity in Neuromorphic Architectures (, , , ), In International Symposium on Circuits and Systems, (ISCAS), 2014, IEEE, . [bibtex] [pdf] [doi]
[157] Neuromorphic Log-Domain Silicon Synapse Circuits Obey Bernoulli Dynamics: A Unifying Tutorial Analysis (, , , ), In Frontiers in Neuroscience, volume 8, . [bibtex] [pdf] [doi]
[156] A Hybrid Analog/Digital Spike-Timing Dependent Plasticity Learning Circuit for Neuromorphic VLSI Multi-Neuron Architectures (, , , ), In International Symposium on Circuits and Systems, (ISCAS), 2014, IEEE, . [bibtex] [pdf] [doi]
[155] Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits (, ), In Neural Computation, MIT Press, volume 26, . [bibtex] [pdf] [doi]
[154] Compact Analog Temporal Edge Detector Circuit With Programmable Adaptive Threshold for Neuromorphic Vision Sensors (, , ), In Circuits and Systems I: Regular Papers, IEEE Transactions on, volume PP, . [bibtex] [pdf] [doi]
[153]Event-based neuromorphic systems (, , , , ), Wiley, . [bibtex] [doi]
[152] Encyclopedia of Computational Neuroscience: SpringerReference (, ), Chapter in Neuromorphic Cognition (D. Jaeger, S.E. Jung R.Lyshevski, eds.), Springer-Verlag, . [bibtex] [pdf] [doi]
[151] Mapping Arbitrary Mathematical Functions and Dynamical Systems to Neuromorphic VLSI Circuits for Spike-based Neural Computation (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2014, IEEE, . [bibtex] [pdf] [doi]
[150] Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity (, , , ), In Frontiers in Computational Neuroscience, Frontiers Media SA, volume 8, . [bibtex] [pdf] [doi]
2013
[149] Implementation of a neuromorphic vestibular sensor with analog VLSI neurons (, , , , , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2013, . [bibtex] [pdf] [doi]
[148] Spatio-temporal Spike Pattern Classification in Neuromorphic Systems (, , , ), Chapter in Biomimetic and Biohybrid Systems, Springer, . [bibtex] [pdf] [doi]
[147] STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems (, , , , ), In Frontiers in Neuroscience, volume 7, . [bibtex] [pdf] [doi]
[146] Synthesizing cognition in neuromorphic electronic systems (, , , , , ), In Proceedings of the National Academy of Sciences, volume 110, . [bibtex] [pdf] [doi]
[145] Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems (, , ), In Advances in Neural Information Processing Systems (NIPS) (C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K.Q. Weinberger, eds.), volume 26, . [bibtex] [pdf] [doi]
[144] Automated synthesis of asynchronous event-based interfaces for neuromorphic systems (, , , ), In Circuit Theory and Design, (ECCTD) 2013 European Conference on, IEEE, . [bibtex] [pdf]
[143] A Memory-Efficient Routing Method for Large-Scale Spiking Neural Networks (, , , ), In Circuit Theory and Design, (ECCTD), 2013 European Conference on, IEEE, . [bibtex] [pdf]
[142] Integration of nanoscale memristor synapses in neuromorphic computing architectures (, , , , ), In Nanotechnology (T.M. Bernard, ed.), volume 24, . [bibtex] [pdf] [doi]
[141]Principles of Neural Coding (), Chapter in Coding in Neuromorphic VLSI Networks (R.Q. Quiroga, S. Panzeri, eds.), CRC Press, . [bibtex]
[140] A robust sound perception model suitable for neuromorphic implementation (, , , , , ), In Frontiers in Neuroscience, Frontiers Media SA, volume 7, . [bibtex] [pdf] [doi]
[139] Programmable Neuromorphic Circuits for Spike-based Neural Dynamics (, , ), In New Circuits and Systems Conference, (NEWCAS) 2013, IEEE, . [bibtex] [pdf] [doi]
2012
[138] Dynamic State and Parameter Estimation applied to Neuromorphic Systems (, , , ), In Neural Computation, volume 24, . [bibtex] [pdf] [doi]
[137] A Real-Time Event-Based Selective Attention System for Active Vision (, ), Chapter in Advances in Autonomous Mini Robots, Springer Berlin Heidelberg, . [bibtex] [pdf] [doi]
[136] Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays (, , ), In International Joint Conference on Neural Networks, IJCNN 2012, . [bibtex] [pdf] [doi]
[135] Emergent auditory feature tuning in a real-time neuromorphic VLSI system (, , , , , ), In Frontiers in Neuroscience, volume 6, . [bibtex] [pdf] [doi]
[134] Systematic Construction of Finite State Automata Using VLSI Spiking Neurons (, , , , ), Chapter in Biomimetic and Biohybrid Systems (Tony Prescott, Nathan Lepora, Anna Mura, Paul Verschure, eds.), Springer Berlin / Heidelberg, volume 7375, . [bibtex] [pdf] [doi]
[133] Online Spatio-Temporal Pattern Recognition with Evolving Spiking Neural Networks utilising Address Event Representation, Rank Order, and Temporal Spike Learning (, , , ), In International Joint Conference on Neural Networks, IJCNN 2012, . [bibtex] [pdf]
[132] Function approximation with uncertainty propagation in a VLSI spiking neural network (, , , , , , ), In International Joint Conference on Neural Networks, IJCNN 2012, . [bibtex] [pdf] [doi]
[131] Real-time inference in a VLSI spiking neural network (, , , , , , ), In International Symposium on Circuits and Systems, (ISCAS), 2012, . [bibtex] [pdf] [doi]
2011
[130] Embedded neuromorphic vision for humanoid robots (, , , , , , ), In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), . [bibtex] [pdf] [doi]
[129] A VLSI neuromorphic device for implementing spike-based neural networks (, ), In Neural Nets WIRN11 - Proceedings of the 21st Italian Workshop on Neural Nets, . [bibtex] [pdf] [doi]
[128] Confession Session: Learning from Others Mistakes (, , , , , , , , , , , , , , , , , , , ), In International Symposium on Circuits and Systems, (ISCAS), 2011, . [bibtex] [pdf]
[127] Systematic configuration and automatic tuning of neuromorphic systems (, , , , ), In International Symposium on Circuits and Systems, (ISCAS), 2011, . [bibtex] [pdf] [doi]
[126] Attentive motion sensor for mobile robotic applications (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2011, . [bibtex] [pdf] [doi]
[125] Active vision driven by a neuromorphic selective attention system (, ), In Proc. of International Symposium on Autonomous Minirobots for Research and Edutainment, AMiRE 2011, . [bibtex] [pdf]
[124] A Neuromorphic Saliency-Map based Active Vision System (, ), In Conference on Information Sciences and Systems, CISS 2011, . [bibtex] [pdf] [doi]
[123] A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, $0.8\,\mu$s latency and 66 MHz output event-rate (, ), In Conference on Information Sciences and Systems, CISS 2011, . [bibtex] [pdf] [doi]
[122]Design concepts for a novel asynchronous space-variant vision sensor (), Chapter in (Simone Bassis Anna Esposito Carlo Francesco Morabito Bruno Apolloni, ed.), IOSPress, volume 234, . [bibtex] [doi]
[121] A systematic method for configuring VLSI networks of spiking neurons (, , , ), In Neural Computation, volume 23, . [bibtex] [pdf] [doi]
[120] Toward Neuromorphic Odor Tracking: Perspectives for space exploration (, ), In Acta Futura, volume 4, . [bibtex] [pdf] [doi]
[119] A VLSI network of spiking neurons with an asynchronous static random access memory (, ), In Biomedical Circuits and Systems Conference (BioCAS), 2011, . [bibtex] [pdf] [doi]
[118] A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI (, , , ), In Biomedical Circuits and Systems, IEEE Transactions on, volume 5, . [bibtex] [pdf] [doi]
[117] Neuromorphic silicon neuron circuits (, , , , , , , , , , , , , , , , , , , ), In Frontiers in Neuroscience, volume 5, . [bibtex] [pdf] [doi]
[116] Frontiers in Neuromorphic Engineering (, ), In Frontiers in Neuroscience, volume 5, . [bibtex] [pdf] [doi]
[115] eMorph: Towards Neuromorphic Robotic Vision (, , , , , , , , ), In , volume 7, . (Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)) [bibtex] [pdf] [doi]
[114]Speaker-independent isolated digit recognition using an AER silicon cochlea (, ), In Biomedical Circuits and Systems Conference, (BioCAS), 2011, . [bibtex] [doi]
2010
[113] State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons (, , , , ), In International Symposium on Circuits and Systems, (ISCAS), 2010, . [bibtex] [pdf] [doi]
[112] A Device Mismatch Compensation Method for VLSI Spiking Neural Networks (, ), In Biomedical Circuits and Systems Conference (BioCAS), 2010, . [bibtex] [pdf] [doi]
[111] Towards VLSI Spiking Neuron Assemblies as General-Purpose Processors (), PhD thesis, ETH Zürich, . [bibtex] [pdf]
[110] Synthesis of log-domain integrators for silicon synapses with global parametric control (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2010, IEEE, . [bibtex] [pdf] [doi]
[109] A Model of Stimulus-Specific Adaptation in Neuromorphic aVLSI (, , , ), In Biomedical Circuits and Systems Conference (BioCAS), 2010, . [bibtex] [pdf] [doi]
[108] Spike-based learning with a generalized integrate and fire silicon neuron (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2010, . [bibtex] [pdf] [doi]
[107] Exploring Olfactory Sensory Networks: Simulations and Hardware Emulation (, , , , ), In Biomedical Circuits and Systems Conference (BioCAS), 2010, . [bibtex] [pdf] [doi]
[106] Treccani Cervello Mente Psiche (, ), Chapter in Organi Sensoriali Artificiali, Istituto della Enciclopedia Italiana fondata da Giovanni Treccani, . [bibtex] [pdf]
2009
[105] A current-mode conductance-based silicon neuron for Address-Event neuromorphic systems (, ), In International Symposium on Circuits and Systems, (ISCAS), 2009, . [bibtex] [pdf] [doi]
[104] Global scaling of synaptic efficacy: Homeostasis in silicon synapses (, ), In Neurocomputing, volume 72, . [bibtex] [pdf] [doi]
[103] Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI (, , ), In Biomedical Circuits and Systems, IEEE Transactions on, IEEE, volume 3, . [bibtex] [pdf] [doi]
[102] Applying neuromorphic vision sensors to planetary landing tasks (, , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2009, . [bibtex] [pdf] [doi]
[101] Spike-based synaptic plasticity and classification on VLSI (, ), The Neuromorphic Engineer, volume 10.2417, . [bibtex] [pdf] [doi]
[100] Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition (, , ), In Cognitive Computation, volume 1, . [bibtex] [pdf] [doi]
[99] Selective Attention in Multi-Chip Address-Event Systems (, ), In Sensors, volume 9, . [bibtex] [pdf] [doi]
2008
[98] A Serial Communication Infrastructure for Multi-Chip Address Event System (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2008, . [bibtex] [pdf] [doi]
[97]Learning to classify complex patterns using a VLSI network of spiking neurons (), PhD thesis, ETH Zürich, . [bibtex] [doi]
[96] The Feeling of Color: A Haptic Feedback Device for the Visually Disabled (, , , , , , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2008, . [bibtex] [pdf] [doi]
[95] Silicon Neurons (, , ), . [bibtex] [pdf]
[94] Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons (, , , , ), In Advances in Neural Information Processing Systems (NIPS) (J.C. Platt, D. Koller, Y. Singer, S. Roweis, eds.), MIT Press, volume 20, . [bibtex] [pdf]
[93] Learning to classify complex patterns using a VLSI network of spiking neurons (, , ), In Advances in Neural Information Processing Systems (NIPS) (J.C. Platt, D. Koller, Y. Singer, S. Roweis, eds.), MIT Press, volume 20, . [bibtex] [pdf]
[92] New Encyclopedia of Neuroscience (, , , ), Chapter in Neuromorphyc Systems (L.R. Squire, ed.), Elsevier, . [bibtex] [pdf]
[91] Neuromorphic VLSI models of selective attention: from single chip vision sensors to multi-chip systems (), In Sensors, volume 8, . [bibtex] [pdf] [doi]
[90] A VLSI Network of Spiking Neurons with Plastic Fully Configurable ``Stop-Learning'' Synapses (, , , , , , ), In International Conference on Electronics, Circuits, and Systems, ICECS 2008, . [bibtex] [pdf] [doi]
[89] Implementing homeostatic plasticity in VLSI networks of spiking neurons (, , ), In International Conference on Electronics, Circuits, and Systems, ICECS 2008, . [bibtex] [pdf] [doi]
[88] A silicon synapse implements multiple neural computational primitives (, ), The Neuromorphic Engineer, volume 4, . [bibtex] [pdf] [doi]
2007
[87] Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons (, , ), In Advances in Neural Information Processing Systems (NIPS) (B. Schölkopf, J.C. Platt, T. Hofmann, eds.), MIT Press, volume 19, . [bibtex] [pdf]
[86] A selective attention multi–chip system with dynamic synapses and spiking neurons (, ), In Advances in Neural Information Processing Systems (NIPS) (B. Schölkopf, J.C. Platt, T. Hofmann, eds.), MIT Press, volume 19, . [bibtex] [pdf]
[85] Synaptic dynamics in analog VLSI (, ), In Neural Computation, volume 19, . [bibtex] [pdf] [doi]
[84]Selective attention in silicon: from the design of an analog VLSI synapse to the implementation of a multi–chip system (), PhD thesis, ETH Zürich, . [bibtex] [doi]
[83] Reliable Computation in Noisy Backgrounds Using Real-Time Neuromorphic Hardware (, , , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2007, . [bibtex] [pdf] [doi]
[82] Robust classification of correlated patterns with a neuromorphic VLSI network of spiking neurons (, , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2007, . [bibtex] [pdf] [doi]
[81] Spike-based learning in VLSI networks of integrate-and-fire neurons (, ), In International Symposium on Circuits and Systems, (ISCAS), 2007, . [bibtex] [pdf] [doi]
[80] Handbook on ``Nano- and Molecular Electronics'' (, ), Chapter in Neuromorphic Networks of Spiking Neurons (S.E. Lyshevski, ed.), CRC Press, . [bibtex] [pdf]
[79] Synaptic plasticity and spike-based computation in VLSI networks of integrate-and-fire neurons (), In Neural Information Processing - Letters and Reviews, volume 11, . [bibtex] [pdf]
[78] A multi-chip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity (, , , , , , , ), In IEEE Transactions on Circuits and Systems I, volume 5, . [bibtex] [pdf] [doi]
[77] A Neuromorphic aVLSI Network Chip with Configurable Plastic Synapses (, , , , , , , ), In Hybrid Intelligent Systems, 2007, HIS 2007, IEEE Computer Society, . ((Best paper award)) [bibtex] [pdf] [doi]
2006
[76] Silicon synaptic homeostasis (, ), In Brain Inspired Cognitive Systems, BICS 2006, . [bibtex] [pdf]
[75] A VLSI spike-driven dynamic synapse which learns only when necessary (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2006, . [bibtex] [pdf] [doi]
[74]A Neuromorphic VLSI System for Modeling Spike–Based Cooperative Competitive Neural Networks (), PhD thesis, ETH Zürich, . [bibtex] [doi]
[73] A VLSI array of low-power spiking neurons and bistable synapses with spike–timing dependent plasticity (, , ), In IEEE Transactions on Neural Networks, volume 17, . [bibtex] [pdf] [doi]
[72] Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System (, , , , ), In International Symposium on Circuits and Systems, (ISCAS), 2006, . [bibtex] [pdf] [doi]
[71] An ultra low power current–mode filter for neuromorphic systems and biomedical signal processing (, , ), In Biomedical Circuits and Systems Conference, (BioCAS), 2006, . [bibtex] [pdf] [doi]
[70] Selective attention implemented with dynamic synapses and integrate-and-fire neurons (, ), In NeuroComputing, volume 69, . (Selected papers from the 1st International Conference on Brain Inspired Cognitive Systems (BICS 2004)) [bibtex] [pdf] [doi]
2005
[69] A low-power dual-threshold comparator for neuromorphic systems (, ), In 2005 PhD Research in Microelectronics and Electronics, IEEE, volume 2, . [bibtex] [pdf]
[68] Form specifies function: Robust spike-based computation in analog VLSI without precise synaptic weights (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2005, . [bibtex] [pdf]
[67] New Technologies for testing a model of cricket phonotaxis on an outdoor robot platform (, , , , ), In Robotics and Autonomous Systems, volume 51, . [bibtex] [pdf]
[66] VLSI reconfigurable networks of integrate-and-fire neurons with spike-timing dependent plasticity (), The Neuromorphic Engineer, volume 2, . [bibtex] [pdf]
[65] Neurobiology of Attention (), Chapter in Neuromorphic Selective Attention Systems (L. Itti, G. Rees, J. Tsotsos, eds.), Elsevier, . [bibtex] [pdf]
[64] The cerebellum chip: an analog VLSI implementation of a cerebellar model of classical conditioning (, , , , , , ), In Advances in Neural Information Processing Systems (NIPS) (Lawrence K. Saul, Yair Weiss, Léon Bottou, eds.), MIT Press, volume 17, . [bibtex] [pdf]
[63] Object Tracking Using Multiple Neuromorphic Vision Sensors (, , ), In Proc. Robocup 2004 (D. Nardi et al. et al., ed.), Springer-Verlag, . [bibtex] [pdf]
2004
[62] A neuromorphic selective attention architecture with dynamic synapses and Integrate-and-Fire neurons (, ), In Brain Inspired Cognitive Systems, BICS 2004, volume BIS2.2, . [bibtex] [pdf]
[61] A software-hardware selective attention system (, , ), In Neurocomputing, volume 58–60, . [bibtex] [pdf]
[60] A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses (, , ), In Proceedings of 12th European Symposium on Artificial Neural Networks (ESANN04), . [bibtex] [pdf]
[59] Smart Adaptive Systems in Silicon (), Chapter in Neuromorphic Engineering (M. Valle, ed.), Kluwer Academic Publishers, . [bibtex] [pdf]
[58] An event based VLSI network of integrate-and-fire neurons (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2004, . [bibtex] [pdf] [doi]
[57] Firing proprieties of an adaptive analog VLSI neuron (, , ), In Proceedings of Bio-ADIT 2004 , Lausanne, . [bibtex] [pdf]
[56] Characterizing the firing proprieties of an adaptive analog VLSI neuron (, , ), Chapter in Biologically Inspired Approaches to Advanced Information Technology First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004, Revised Selected Pa (Masayuki Murata Auke Jan Ijspeert, Naoki Wakamiya, eds.), Springer-Verlag Heidelberg, volume 3141/2004, . [bibtex] [pdf]
[55]Robot Soccer using Optical Analog VLSI Sensors (, , ), In International Journal of Robotics and Automation, volume 19, . [bibtex] [doi]
2003
[54] Neuromorphic Bistable VLSI Synapses with Spike-Timing-Dependent Plasticity (), In Advances in Neural Information Processing Systems (NIPS), MIT Press, volume 15, . [bibtex] [pdf]
[53] A VLSI recurrent network of integrate–and–fire neurons connected by plastic synapses with long term memory (, , , , , , , ), In IEEE Transactions on Neural Networks, volume 14, . [bibtex] [pdf] [doi]
[52] Neuromorphic Selective Attention Systems (), In International Symposium on Circuits and Systems, (ISCAS), 2003, . [bibtex] [pdf] [doi]
[51] A low-power adaptive integrate-and-fire neuron circuit (), In International Symposium on Circuits and Systems, (ISCAS), 2003, . [bibtex] [pdf] [doi]
[50] An adaptive silicon synapse (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2003, . [bibtex] [pdf] [doi]
2002
[49] An adaptive visual tracking sensor with a hysteretic winner-take-all network (, , ), In International Symposium on Circuits and Systems, (ISCAS), 2002, . [bibtex] [pdf] [doi]
[48]A Hierarchical Model of Complex Cells in Visual Cortex for the Binocular Perception of Motion-in-Depth (, , , , ), In Advances in Neural Information Processing Systems 14 (T.G. Dietterich, S. Becker, Z. Ghahramani, eds.), MIT Press, . [bibtex]
[47] Analog VLSI:Circuits and Principles (, , , , ), MIT Press, . [bibtex] [pdf]
[46] Behaving LEGOBot with Tracking chip (), (A. Cohen, R.J. Douglas, T. Horiuchi, G. Indiveri, C. Koch, T. Sejnowski, S. Shamma, eds.), . [bibtex] [pdf]
2001
[45] Orientation-selective aVLSI spiking neurons (, , , , ), In Advances in Neural Information Processing Systems (NIPS), volume 14, . [bibtex] [pdf]
[44] A Neuromorphic VLSI device for implementing 2-D selective attention systems (), In IEEE Transactions on Neural Networks, volume 12, . [bibtex] [pdf] [doi]
[43] A Current-mode Hysteretic Winner-take-all Network, with Excitatory and Inhibitory Coupling (), In Analog Integrated Circuits and Signal Processing, volume 28, . [bibtex] [pdf]
[42] Orientation-selective aVLSI spiking neurons (, , , , , ), In Neural Networks, volume 14, . [bibtex] [pdf]
[41] Active vision using an analog VLSI model of selective attention (, , ), In IEEE Transactions on Circuits and Systems II, volume 48, . [bibtex] [pdf] [doi]
[40] Computation in Neuromorphic Analog VLSI Systems (), In 12th Italian Workshop on Neural Networks. WIRN 2001 (R. Tagliaferri, M. Marinaro, eds.), . [bibtex] [pdf]
[39] Neuromorphic Sensory Processing using Analog Very Large-Scale Integration (, , ), Chapter in Frontiers of Life (D. Baltimore, R. Dulbecco, F. Jacob, R. Levi-Montalcini, eds.), Academic Press, . [bibtex] [pdf]
[38] A Competitive Network of Spiking VLSI Neurons (, , , ), In World Congress on Neuroinformatics (F. Rattay, ed.), ARGESIM / ASIM - Verlag, . [bibtex] [pdf]
[37]Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons (, ), In Proceedings of the World Congress on Neuroinformatics (Frank Rattay, ed.), ARGESIM/ASIM Verlag, . [bibtex]
2000
[36]ROBOTIC VISION: Neuromorphic Vision Sensor (, ), In Science, volume 288, . [bibtex]
[35] Modeling Selective Attention using a Neuromorphic analog VLSI Device (), In Neural Computation, volume 12, . [bibtex] [pdf] [doi]
[34] A 2D Neuromorphic VLSI architecture for modeling selective attention (), In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks; IJCNN 2000 (S.-I. Amari, C.L. Giles, M. Gori, V. Piuri, eds.), IEEE Computer Society, volume IV, . [bibtex] [pdf] [doi]
1999
[33] A modular neuromorphic navigation system applied to line following and obstacle avoidance tasks (, ), In Experiments with the Mini-Robot Khepera (A. Löffler, F. Mondada, U. Rückert, eds.), volume 64, . [bibtex] [pdf]
[32] A Reconfigurable Neuromorphic VLSI Multi-Chip System Applied to Visual Motion Computation (, , ), In Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-inspired Systems; Microneuro'99, IEEE Computer Society, . [bibtex] [pdf] [doi]
[31]Frontiere della Vita (, , ), Chapter in Elaborazione Neuromorfa dei Segnali Sensoriali con Circuiti VLSI Analogici (D. Baltimore, R. Dulbecco, F. Jacob, R. Levi-Montalcini, eds.), Istituto della Enciclopedia Italiana, volume III, . [bibtex]
[30] Neuromorphic Analog VLSI Sensor for Visual Tracking: Circuits and Application Examples (), In IEEE Transactions on Circuits and Systems II, volume 46, . [bibtex] [pdf] [doi]
[29]A VLSI neuromorphic device with 128 neurons and 3000 synapses: area optimization and design (), Master's thesis, University of Rome 1, ``La Sapienza'', . (In Italian) [bibtex]
1998
[28] Analog VLSI Model of Locust DCMD Neuron for Computation of Object Approach (), Chapter in Neuromorphic Systems. Engineering Silicon from Neurobiology (L.S. Smith, A. Hamilton, eds.), World Scientific, volume 10, . [bibtex] [pdf]
[27] Winner-take-all Networks with Lateral Excitation (), Chapter in Neuromorphic Systems Engineering (T.S. Lande, ed.), Kluwer Academic, . [bibtex] [pdf]
1997
[26] Winner-take-all networks with lateral excitation (), In Analog Integrated Circuits and Signal Processing, Kluwer Academic, volume 13, . [bibtex] [pdf]
[25] Autonomous vehicle guidance using analog VLSI neuromorphic sensors (, ), Chapter in Proceedings Artificial Neural Networks-ICANN97: Lausanne, Switzerland (A. Germond M. Hasler W. Gerstner, J-D. Nicoud, eds.), Springer Verlag, volume 1327, . [bibtex] [pdf]
[24] Neuromorphic Systems For Industrial Applications (), In Proc.International Body Engineering Conference & Exposition, . [bibtex] [pdf]
1996
[23] Neuromorphic Vision Chips: intelligent sensors for industrial applications (, , ), In Proc Advanced Microsystems for Automotive Applications, . [bibtex] [pdf]
[22] Analog VLSI motion projects at Caltech (, , ), In Advanced Focal Plane Arrays and Electronic Cameras (T.M. Bernard, ed.), SPIE, volume 2950, . [bibtex] [pdf]
[21] System Implementations of analog VLSI velocity sensors (, , ), In IEEE Micro, volume 16, . [bibtex] [pdf] [doi]
[20] Parallel analog VLSI architectures for computation of heading direction and time-to-contact (, , ), In Advances in Neural Information Processing Systems (D.S. Touretzky, M.C. Mozer, M.E. Hasselmo, eds.), MIT Press, volume 8, . [bibtex] [pdf]
[19] Analog VLSI architectures for motion processing: from fundamental limits to system applications (, , , ), In Proceedings of the IEEE, volume 84, . [bibtex] [pdf] [doi]
[18]A recurrent neural architecture mimicking cortical preattentive vision systems. (, , , ), In Neurocomputing, volume 11, . [bibtex]
[17] System Implementations of analog VLSI velocity sensors (, , ), In Proceedings of the Fifth International Conference on Microelectronics for Neural, Fuzzy and Bio-inspired Systems; Microneuro'96, IEEE Computer Society Press, . [bibtex] [pdf] [doi]
1995
[16] Analog VLSI architecture for computing heading direction (, , ), In Intelligent Vehicles '95 Symposium, IEEE, . [bibtex] [pdf] [doi]
[15]A Neuromorphic Architecture for Cortical Multi-layer Integration of Early Visual Tasks (, , , ), In Machine Vision and Applications, volume 8, . [bibtex]
1994
[14]A Memory-Based Recurrent Neural Architecture for Chips Emulating Cortical Visual Processing (, , , , ), In IEICE Transactions on Electronics, volume E77-C, . [bibtex]
[13]Cortical Perceptual Processing Mapped into an Active Resistor Network (, , , , ), In Proc. WCNN94-San Francisco-CA, . [bibtex]
[12] Analog sbtheshold VLSI implementation of a neuromorphic model of the visual cortex for pre-attentive vision (, ), In Proceedings of the Fourth International Conference on Microelectronics for Neural, Fuzzy and Bio-inspired Systems; Microneuro'94, IEEE Computer Society Press, . ((Best Student Paper)) [bibtex] [pdf] [doi]
1993
[11] An Active Resistor Mesh Embedding Cortical Visual Processing (, , , , ), In Proc. ICANN93, . [bibtex] [pdf]
[10]Computational Anatomy in Low-Level Visual Processing (, , , , ), In 4th Italian Workshop on Neural Networks. WIRN 1993, . [bibtex]
[9]A Neural Network Architectural Model of Visual Cortical Cells for Texture Segregation (, , , , ), In Proc Int Conf on Neural Networks, . [bibtex]
[8]A Neuromorphic Architecture for Visual Processing (, , , ), In Proc. Giornata di Studio: Elaborazione di Immagini mediante Reti Neurali, . [bibtex]
[7]A Neural Network Architecture for Defect Detection through Magnetic Particle Inspection (, , , ), Technical report, , . [bibtex]
[6]Analog VLSI Subthreshold Implementation of a Neuromorphic Architecture for Preattentive Vision (), Technical report, , . [bibtex]
1992
[5]A Linear Model of the Recurrent Inhibition in Visual Cortex Leading to Gabor-Like Receptive Fields (, , , , ), In Proceedings of NeuroNimes92 Conference, . [bibtex]
[4]A Neural Architectural Model of Simple and Complex Cortical Cells (, , , , ), In EMBS Congress, . [bibtex]
[3]Un Modello Neurale per l'Analisi di Tessitura (, , , , ), In Congresso AICA, . [bibtex]
[2]A Multi-layers Analog VLSI Architecture for Texture Analysis Isomorphic to Cortical Cells in Mammalian Visual System (, , , , ), In Proc. Int. Workshop on VLSI for AI and NN, . [bibtex]
[1]A Neural Model of Cortical Cells Characterized by Gabor-like Receptive Fields-Application to Texture Segmentation (, , , , ), Chapter in Artificial Neural Networks 2 (I.Aleksander, J. Taylor, eds.), Elsevier Science, volume 2, . [bibtex]
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