Giacomo Indiveri

Orcid: 0000-0002-7109-1689

Affiliations:
  • ETH Zurich, Institute of Neuroinformatics, Switzerland


According to our database1, Giacomo Indiveri authored at least 245 papers between 1993 and 2024.

Collaborative distances:

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Bibliography

2024
An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2024

Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems.
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

Neuromorphic visual scene understanding with resonator networks.
Nat. Mac. Intell., 2024

Visual odometry with neuromorphic resonator networks.
Nat. Mac. Intell., 2024

A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures.
CoRR, 2024

Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection.
CoRR, 2024

Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons.
CoRR, 2024

Neuromorphic dreaming: A pathway to efficient learning in artificial agents.
CoRR, 2024

EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks.
CoRR, 2024

Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator.
CoRR, 2024

Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware.
CoRR, 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

Modelling novelty detection in the thalamocortical loop.
PLoS Comput. Biol., 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

Core Interface Optimization for Multi-core Neuromorphic Processors.
Proceedings of the 28th IEEE International Symposium on Asynchronous Circuits and Systems, 2023

Yak: An Asynchronous Bundled Data Pipeline Description Language.
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
2022 roadmap on neuromorphic devices and applications research in China.
Neuromorph. Comput. Eng., December, 2022

An organic synaptic circuit: toward flexible and biocompatible organic neuromorphic processing.
Neuromorph. Comput. Eng., June, 2022

2022 roadmap on neuromorphic computing and engineering.
Neuromorph. Comput. Eng., 2022

Neuromorphic Visual Odometry with Resonator Networks.
CoRR, 2022

Organic log-domain integrator synapse.
CoRR, 2022

A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors.
CoRR, 2022

Operative dimensions in unconstrained connectivity of recurrent neural networks.
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

Neuromorphic implementation of ECG anomaly detection using delay chains.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

FPGA Implementation of An Event-driven Saliency-based Selective Attention Model.
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
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence.
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

Introducing 'Neuromorphic Computing and Engineering'.
Neuromorph. Comput. Eng., 2021

NEUROTECH - A European Community of Experts on Neuromorphic Technologies.
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

2021 Roadmap on Neuromorphic Computing and Engineering.
CoRR, 2021

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer.
CoRR, 2021

Robust neuromorphic coupled oscillators for adaptive pacemakers.
CoRR, 2021

Dimensions of Timescales in Neuromorphic Computing Systems.
CoRR, 2021

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors.
CoRR, 2021

Neuromorphic Pattern Generation Circuits for Bioelectronic Medicine.
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

Plasmonic Graphene Organic Hybrid Phase Modulator with 10 µm Length, >70 GHz Bandwidth and 4.5 dB Insertion Loss.
Proceedings of the European Conference on Optical Communication, 2021

Silicon neuron with programmable ion channel kinematics for bioelectronic applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Mapping Spiking Neural Networks to Neuromorphic Hardware.
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

A Spike-Based Neuromorphic Architecture of Stereo Vision.
Frontiers Neurorobotics, 2020

Closed-Loop Spiking Control on a Neuromorphic Processor Implemented on the iCub.
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

Compact Early Vision Signal Analyzers in Neuromorphic Technology.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

A Bio-Inspired Neuromorphic Active Vision System Based on Fixational Eye Movements.
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

Neuromorphic Implementation of Spiking Relational Neural Network for Motor Control.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

An error-propagation spiking neural network compatible with neuromorphic processors.
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

Neural State Machines for Robust Learning and Control of Neuromorphic Agents.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems.
CoRR, 2019

Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology.
CoRR, 2019

A neuromorphic boost to RNNs using low pass filters.
CoRR, 2019

The importance of space and time in neuromorphic cognitive agents.
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

An Ultra-Low Power Sigma-Delta Neuron Circuit.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity.
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

ECG-based Heartbeat Classification in Neuromorphic Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Neuromorphic Device for Detecting High-Frequency Oscillations in Human iEEG.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence.
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

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.
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

Deriving optimal silicon neuron circuit specifications using Data Assimilation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Kernelized Synaptic Weight Matrices.
Proceedings of the 35th International Conference on Machine Learning, 2018

Open-Loop Neuromorphic Controller Implemented on VLSI Devices.
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

A geographically distributed bio-hybrid neural network with memristive plasticity.
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

Obstacle avoidance with LGMD neuron: Towards a neuromorphic UAV implementation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Randomized unregulated step descent for limited precision synaptic elements.
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

Robust state-dependent computation in neuromorphic electronic systems.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

On-chip unsupervised learning in winner-take-all networks of spiking neurons.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Activity dependent structural plasticity in neuromorphic systems.
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

Precise deep neural network computation on imprecise low-power analog hardware.
CoRR, 2016

Deep counter networks for asynchronous event-based processing.
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

Beyond spike-timing dependent plasticity in memristor crossbar arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers.
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

A novel spiking CPG-based implementation system to control a lamprey robot.
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

Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies.
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
Neuromorphic Engineering.
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

Memory and Information Processing in Neuromorphic Systems.
Proc. IEEE, 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

Rounding Methods for Neural Networks with Low Resolution Synaptic Weights.
CoRR, 2015

An event-based architecture for solving constraint satisfaction problems.
CoRR, 2015

Stochastic Interpretation of Quasi-periodic Event-based Systems.
CoRR, 2015

Emulating short-term synaptic dynamics with memristive devices.
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

Decision making and perceptual bistability in spike-based neuromorphic VLSI systems.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Local structure helps learning optimized automata in recurrent neural networks.
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
Neuromorphic Cognition.
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

Towards a Neuromorphic Vestibular System.
IEEE Trans. Biomed. Circuits Syst., 2014

Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems.
Proc. IEEE, 2014

Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges.
Proc. IEEE, 2014

Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits.
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

Smart motion sensing for autonomous robots.
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
Integration of nanoscale memristor synapses in neuromorphic computing architectures
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

Programmable neuromorphic circuits for spike-based neural dynamics.
Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013

Spatio-temporal Spike Pattern Classification in Neuromorphic Systems.
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

Automated synthesis of asynchronous event-based interfaces for neuromorphic systems.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

A memory-efficient routing method for large-scale spiking neural networks.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

Implementation of a neuromorphic vestibular sensor with analog VLSI neurons.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Dynamic State and Parameter Estimation Applied to Neuromorphic Systems.
Neural Comput., 2012

Systematic Construction of Finite State Automata Using VLSI Spiking Neurons.
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012

Real-time inference in a VLSI spiking neural network.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays.
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
A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI.
IEEE Trans. Biomed. Circuits Syst., 2011

eMorph: Towards Neuromorphic Robotic Vision.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

A Systematic Method for Configuring VLSI Networks of Spiking Neurons.
Neural Comput., 2011

A VLSI neuromorphic device for implementing spike-based neural networks.
Proceedings of the Neural Nets WIRN11, 2011

Systematic configuration and automatic tuning of neuromorphic systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Attentive motion sensor for mobile robotic applications.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011


Embedded neuromorphic vision for humanoid robots.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

A neuromorphic saliency-map based active vision system.
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
State-dependent sensory processing in networks of VLSI spiking neurons.
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

Spike-based learning with a generalized integrate and fire silicon neuron.
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

Selective Attention in Multi-Chip Address-Event Systems.
Sensors, 2009

Global scaling of synaptic efficacy: Homeostasis in silicon synapses.
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
Silicon neurons.
Scholarpedia, 2008

A serial communication infrastructure for multi-chip address event systems.
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

Implementing homeostatic plasticity in VLSI networks of spiking neurons.
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

Synaptic Dynamics in Analog VLSI.
Neural Comput., 2007

Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning to classify complex patterns using a VLSI network of spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Spike-based learning in VLSI networks of integrate-and-fire neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

A Neuromorphic aVLSI network chip with configurable plastic synapses.
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

A selective attention multi--chip system with dynamic synapses and spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A VLSI spike-driven dynamic synapse which learns only when necessary.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Modeling orientation selectivity using a neuromorphic multi-chip system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
New technologies for testing a model of cricket phonotaxis on an outdoor robot.
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
Neuromorphic winner-take-all circuits for selective attention systems.
PhD thesis, 2004

Robot Soccer using Optical Analog VLSI Sensors.
Int. J. Robotics Autom., 2004

A software-hardware selective attention system.
Neurocomputing, 2004

Object Tracking Using Multiple Neuromorphic Vision Sensors.
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

Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

2003
Guest editorial - Special issue on neural networks hardware implementations.
IEEE Trans. Neural Networks, 2003

A low-power adaptive integrate-and-fire neuron circuit.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Neuromorphic selective attention systems.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

An adaptive silicon synapse.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
Neuromorphic Bistable VLSI Synapses with Spike-Timing-Dependent Plasticity.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
A neuromorphic VLSI device for implementing 2D selective attention systems.
IEEE Trans. Neural Networks, 2001

Orientation-selective aVLSI spiking neurons.
Neural Networks, 2001

Modeling Selective Attention Using a Neuromorphic Analog VLSI Device.
Neural Comput., 2001

Computation in Neuromorphic Analog VLSI Systems.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Orientation-Selective aVLSI Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997
Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors.
Proceedings of the Artificial Neural Networks, 1997

1996
Analog VLSI architectures for motion processing: from fundamental limits to system applications.
Proc. IEEE, 1996

System implementations of analog VLSI velocity sensors.
IEEE Micro, 1996

A recurrent neural architecture mimicking cortical preattentive vision systems.
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


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