Giacomo Indiveri
Orcid: 0000-0002-7109-1689Affiliations:
- ETH Zurich, Institute of Neuroinformatics, Switzerland
According to our database1,
Giacomo Indiveri
authored at least 235 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor.
Neuromorph. Comput. Eng., March, 2024
Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications.
IEEE Trans. Biomed. Circuits Syst., February, 2024
2023
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits.
Neuromorph. Comput. Eng., December, 2023
Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems.
Neuromorph. Comput. Eng., September, 2023
Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence.
Proc. IEEE, June, 2023
DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays.
CoRR, 2023
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023
Long-Term Stable Electromyography Classification Using Canonical Correlation Analysis.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
An Adaptive Event-based Data Converter for Always-on Biomedical Applications at the Edge.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Solving optimization tasks power-efficiently exploiting VO2's phase-change properties with Oscillating Neural Networks.
Proceedings of the Device Research Conference, 2023
Feed-forward and recurrent inhibition for compressing and classifying high dynamic range biosignals in spiking neural network architectures.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
Neuromorph. Comput. Eng., December, 2022
An organic synaptic circuit: toward flexible and biocompatible organic neuromorphic processing.
Neuromorph. Comput. Eng., June, 2022
Neuromorph. Comput. Eng., 2022
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain.
Neuromorph. Comput. Eng., 2021
ERCIM News, 2021
NeuroAgents - Autonomous Intelligent Agents that Interact with the Environment in Real Time.
ERCIM News, 2021
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses.
CoRR, 2021
Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence.
CoRR, 2021
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors.
CoRR, 2021
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Silicon neuron with programmable ion channel kinematics for bioelectronic applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
IEEE Trans. Very Large Scale Integr. Syst., 2020
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors.
IEEE Trans. Neural Networks Learn. Syst., 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020
Frontiers Neurorobotics, 2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG.
CoRR, 2020
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG.
CoRR, 2020
Dynamic Detectors of Oriented Spatial Contrast from Isotropic Fixational Eye Movements.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Emergence of Gabor-Like Receptive Fields in a Recurrent Network of Mixed-Signal Silicon Neurons.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
A Neuromorphic Computational Primitive for Robust Context-Dependent Decision Making and Context-Dependent Stochastic Computation.
IEEE Trans. Circuits Syst. II Express Briefs, 2019
Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.
IEEE Trans. Biomed. Circuits Syst., 2019
Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor.
IEEE Trans. Biomed. Circuits Syst., 2019
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 Process. Mag., 2019
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
CoRR, 2019
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology.
CoRR, 2019
Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019
2018
Guest Editorial: Special Issue on Large-Scale Memristive Systems and Neurochips for Computational Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., 2018
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
IEEE Trans. Biomed. Circuits Syst., 2018
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation.
CoRR, 2018
CoRR, 2018
Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems - 7th International Conference, 2018
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Processing EMG signals using reservoir computing on an event-based neuromorphic system.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
A Clock-Less Ultra-Low Power Bit-Serial LVDS Link for Address-Event Multi-chip Systems.
Proceedings of the 24th IEEE International Symposium on Asynchronous Circuits and Systems, 2018
2017
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks.
IEEE Trans. Biomed. Circuits Syst., 2017
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System.
Frontiers Neurorobotics, 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation.
CoRR, 2017
An ultra-low leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 kilo-seconds.
CoRR, 2017
A differential memristive synapse circuit for on-line learning in neuromorphic computing systems.
CoRR, 2017
CoRR, 2017
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
CoRR, 2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance.
CoRR, 2017
A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor.
Proceedings of the Robotics: Science and Systems XIII, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
A fully-synthesized 20-gate digital spike-based synapse with embedded online learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
A compact ultra low-power pulse delay and extension circuit for neuromorphic processors.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
Surround suppression explained by long-range recruitment of local competition, in a columnar V1 model.
CoRR, 2016
CoRR, 2016
Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Tunable device-mismatch effects for stochastic computation in analog/digital neuromorphic computing architectures.
Proceedings of the 2016 IEEE International Conference on Electronics, Circuits and Systems, 2016
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces.
IEEE Trans. Biomed. Circuits Syst., 2015
Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States.
Neural Comput., 2015
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures.
ACM J. Emerg. Technol. Comput. Syst., 2015
CoRR, 2015
A modular configurable system for closed-loop bidirectional brain-machine interfaces.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Event-based softcore processor in a biohybrid setup applied to structural plasticity.
Proceedings of the International Conference on Event-based Control, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Compact Analog Temporal Edge Detector Circuit With Programmable Adaptive Threshold for Neuromorphic Vision Sensors.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014
An Event-Based Neural Network Architecture With an Asynchronous Programmable Synaptic Memory.
IEEE Trans. Biomed. Circuits Syst., 2014
Proc. IEEE, 2014
Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges.
Proc. IEEE, 2014
Neural Comput., 2014
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.
Frontiers Neuroinformatics, 2014
Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity.
Frontiers Comput. Neurosci., 2014
Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
CoRR, 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013
Proceedings of the Biomimetic and Biohybrid Systems, 2013
NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013
2012
Neural Comput., 2012
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Function approximation with uncertainty propagation in a VLSI spiking neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
IEEE Trans. Biomed. Circuits Syst., 2011
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011
Neural Comput., 2011
Proceedings of the Neural Nets WIRN11, 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8 µs latency and 66MHz output event-rate.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Synthesis of log-domain integrators for silicon synapses with global parametric control.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
2009
Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI.
IEEE Trans. Biomed. Circuits Syst., 2009
Neurocomputing, 2009
Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition.
Cogn. Comput., 2009
A Current-mode Conductance-based Silicon Neuron for Address-event Neuromorphic Systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
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, 2008
Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008
2007
A Multichip Pulse-Based Neuromorphic Infrastructure and Its Application to a Model of Orientation Selectivity.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
2006
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.
IEEE Trans. Neural Networks, 2006
Selective attention implemented with dynamic synapses and integrate-and-fire neurons.
Neurocomputing, 2006
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
2005
Robotics Auton. Syst., 2005
Form specifies function: robust spike-based computation in analog VLSI without precise synaptic weights.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
2004
PhD thesis, 2004
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004
The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
An event-based VLSI network of integrate-and-fire neurons.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004
2003
IEEE Trans. Neural Networks, 2003
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
IEEE Trans. Neural Networks, 2001
Neural Comput., 2001
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1997
Proceedings of the Artificial Neural Networks, 1997
1996
Analog VLSI architectures for motion processing: from fundamental limits to system applications.
Proc. IEEE, 1996
Neurocomputing, 1996
1995
A neuromorphic architecture for cortical multilayer integration of early visual tasks.
Mach. Vis. Appl., 1995
Parallel analog VLSI architectures for computation of heading direction and time-to-contact.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1993
A neural network architectural model of visual cortical cells for texture segregation.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993