Elisabetta Chicca

Orcid: 0000-0002-5518-8990

Affiliations:
  • University of Groningen, The Netherlands
  • Bielefeld University, CITEC, Germany (former)


According to our database1, Elisabetta Chicca authored at least 69 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits.
Neuromorph. Comput. Eng., December, 2023

Closed-loop sound source localization in neuromorphic systems.
Neuromorph. Comput. Eng., June, 2023

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware.
CoRR, 2023

Robust Spiking Attractor Networks with a Hard Winner-Take-All Neuron Circuit.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Finding the Goal: Insect-Inspired Spiking Neural Network for Heading Error Estimation.
IROS, 2023

A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace Generation.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural Networks.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fall Detection with Event-Based Data: A Case Study.
Proceedings of the Computer Analysis of Images and Patterns, 2023

2022
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves.
IEEE J. Solid State Circuits, 2022

Vector Symbolic Finite State Machines in Attractor Neural Networks.
CoRR, 2022

Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition.
CoRR, 2022

2021
A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain.
Neuromorph. Comput. Eng., 2021

Touch in Robots: A Neuromorphic Approach.
ERCIM News, 2021

Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments.
CoRR, 2021

A Hardware-Friendly Neuromorphic Spiking Neural Network for Frequency Detection and Fine Texture Decoding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Ferroelectric Tunneling Junctions for Edge Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers.
Frontiers Neurorobotics, 2020

Live Demonstration: Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

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

Simulation of integrate-and-fire neuron circuits using HfO2-based ferroelectric field effect transistors.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
Spiking Elementary Motion Detector in Neuromorphic Systems.
Neural Comput., 2018

Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.
CoRR, 2018

Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Brain-inspired recurrent neural network with plastic RRAM synapses.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Open-Loop Neuromorphic Controller Implemented on VLSI Devices.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017
Towards bioinspired close-loop local motor control: A simulated approach supporting neuromorphic implementations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
Learning in Silicon Beyond STDP: A Neuromorphic Implementation of Multi-Factor Synaptic Plasticity With Calcium-Based Dynamics.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Floating-gate-based intrinsic plasticity with low-voltage rate control.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A VLSI implementation of a calcium-based plasticity learning model.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

FPGA-based approach for automatic peak detection in cyclic voltammetry.
Proceedings of the 2016 IEEE International Conference on Electronics, Circuits and Systems, 2016

2015
A neural approach to drugs monitoring for personalized medicine.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Power-efficient estimation of silicon neuron firing rates with floating-gate transistors.
Proceedings of the European Conference on Circuit Theory and Design, 2015

Bioinspired event-driven collision avoidance algorithm based on optic flow.
Proceedings of the International Conference on Event-based Control, 2015

Device mismatch in a neuromorphic system implements random features for regression.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
Neuromorphic Sensors, Olfaction.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

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

Neuromorphic circuits for Short-Term Plasticity with recovery control.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

An approach to motor control for spike-based neuromorphic robotics.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems.
Neural Networks, 2013

A neuromorphic approach to auditory pattern recognition in cricket phonotaxis.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

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

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 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

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

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
Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition.
Cogn. Comput., 2009

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

2006
A neuromorphic VLSI system for modeling spike-based cooperative competitive neural networks.
PhD thesis, 2006

A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.
IEEE Trans. Neural Networks, 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

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

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
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory.
IEEE Trans. Neural Networks, 2003

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


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