Giacomo Indiveri

According to our database1, Giacomo Indiveri authored at least 130 papers between 1993 and 2019.

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Bibliography

2019
A Neuromorphic Computational Primitive for Robust Context-Dependent Decision Making and Context-Dependent Stochastic Computation.
IEEE Trans. on Circuits and Systems, 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

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. Emerging Topics in Comput. Intellig., 2018

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
IEEE Trans. Biomed. Circuits and Systems, 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 and Systems, 2017

Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System.
Front. Neurorobot., 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
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 and Systems, 2015

Memory and Information Processing in Neuromorphic Systems.
Proceedings of the IEEE, 2015

Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States.
Neural Computation, 2015

Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures.
JETC, 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

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. on Circuits and Systems, 2014

An Event-Based Neural Network Architecture With an Asynchronous Programmable Synaptic Memory.
IEEE Trans. Biomed. Circuits and Systems, 2014

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

Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems.
Proceedings of the IEEE, 2014

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

Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits.
Neural Computation, 2014

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.
Front. Neuroinform., 2014

Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity.
Front. 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
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 Computation, 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 and Systems, 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 Computation, 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 and Systems, 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.
Cognitive Computation, 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. on Circuits and Systems, 2007

Synaptic Dynamics in Analog VLSI.
Neural Computation, 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 (HIS 2007), 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 and Autonomous Systems, 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
Robot Soccer using Optical Analog VLSI Sensors.
I. J. Robotics and Automation, 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 ESANN 2004, 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 Computation, 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
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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