World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
20172
World Ranking
2708
National Ranking
62

Electronics and Electrical Engineering

D-Index
63
Citations
20400
World Ranking
1338
National Ranking
32

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Giacomo Indiveri is affiliated with the University of Zurich in Switzerland. The scientist's research spans across engineering and neuroscience, with a particular focus on electrical and electronic engineering and cognitive neuroscience. Their work also touches on artificial intelligence, cellular and molecular neuroscience, and biomedical engineering.

Their research topics include:

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • CCD and CMOS Imaging Sensors

Giacomo Indiveri has contributed extensively to academic literature, with publications in a variety of venues. Notably frequent venues include:

  • arXiv (Cornell University)
  • Nature Communications
  • Neuromorphic Computing and Engineering
  • Zurich Open Repository and Archive (University of Zurich)
  • bioRxiv (Cold Spring Harbor Laboratory)

Selected recent papers authored or coauthored by Indiveri include:

  • "Embedded Devices for Neuromorphic Time-Series Assessment," 2022, Maryland Shared Open Access Repository (USMAI Consortium)
  • "Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing," 2022, Nature Communications
  • "Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications," 2020, Repository for Publications and Research Data (ETH Zurich)
  • "Embodied neuromorphic intelligence," 2022, Nature Communications
  • "An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG," 2021, Zurich Open Repository and Archive (University of Zurich)

Frequent collaborators throughout Indiveri's career include Melika Payvand, Elisa Donati, Elisa Vianello, Johannes Sarnthein, and Charlotte Frenkel.

Giacomo Indiveri's book contributions include a publication with Springer Nature titled Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations, published in 2021.

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity

    G. Indiveri;E. Chicca;R. Douglas

  • Memory and Information Processing in Neuromorphic Systems

    Giacomo Indiveri;Shih-Chii Liu

  • Integration of nanoscale memristor synapses in neuromorphic computing architectures

    Giacomo Indiveri;Bernabé Linares-Barranco;Robert A. Legenstein;George Deligeorgis

  • A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.

    Ning Qiao;Hesham Mostafa;Federico Corradi;Marc Osswald

  • A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

    Saber Moradi;Ning Qiao;Fabio Stefanini;Giacomo Indiveri

  • STDP and STDP variations with memristors for spiking neuromorphic learning systems.

    Teresa Serrano-Gotarredona;Timothée Masquelier;Themistoklis Prodromakis;Giacomo Indiveri

  • Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

    Elisabetta Chicca;Fabio Stefanini;Chiara Bartolozzi;Giacomo Indiveri

  • 2013 Special Issue: Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition

    Nikola Kasabov;Kshitij Dhoble;Nuttapod Nuntalid;Giacomo Indiveri

  • Synaptic Dynamics in Analog VLSI

    Chiara Bartolozzi;Giacomo Indiveri

  • Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

    Mostafa Rahimi Azghadi;Corey Lammie;Jason K. Eshraghian;Melika Payvand

  • A low-power adaptive integrate-and-fire neuron circuit

    G. Indiveri

  • Analog VLSI: Circuits and Principles

    Shih-Chii Liu;Tobias Delbruck;Jorgene Kramer;Giacomo Indiveri

  • Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI

    S. Mitra;S. Fusi;G. Indiveri

  • Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

    Chetan Singh Thakur;Jamal Lottier Molin;Gert Cauwenberghs;Giacomo Indiveri

  • Frontiers in neuromorphic engineering.

    Giacomo Indiveri;Timothy K Horiuchi

  • Event-Based Neuromorphic Systems

    Shih-Chii Liu;Tobi Delbruck;Giacomo Indiveri;Adrian Whatley

  • Neuromorphic Vision Sensors

    Giacomo Indiveri;Rodney Douglas

  • Neuromorphic architectures for spiking deep neural networks

    Giacomo Indiveri;Federico Corradi;Ning Qiao

  • Synthesizing cognition in neuromorphic electronic systems

    Emre Neftci;Jonathan Binas;Ueli Rutishauser;Elisabetta Chicca

  • A Multichip Pulse-Based Neuromorphic Infrastructure and Its Application to a Model of Orientation Selectivity

    E. Chicca;A.M. Whatley;P. Lichtsteiner;V. Dante

Frequent Co-Authors

Shih-Chii Liu
Shih-Chii Liu University of Zurich
Tobi Delbruck
Tobi Delbruck ETH Zurich
Themistoklis Prodromakis
Themistoklis Prodromakis University of Southampton
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Carver A. Mead
Carver A. Mead California Institute of Technology
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
André van Schaik
André van Schaik Western Sydney University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering in the USA offers diverse opportunities for online learning tailored to different needs and lifestyles. Many students benefit from competency-based colleges, which allow learners to progress at their own pace by demonstrating skills rather than following a traditional semester timeline.

For military families, flexibility and support are key. Several online universities for military spouses focus on accommodating these unique circumstances, providing accessible degree options and resources that help balance education with demanding personal commitments.

Starting your studies can be challenging if traditional academic calendars don’t align with your schedule. To address this, some of the best online colleges with weekly start dates offer continuous enrollment, enabling students to begin programs at multiple points throughout the year for greater flexibility.

If you're looking to quickly boost your qualifications, exploring short certificate programs that pay well online can be a smart approach. These intensive programs focus on practical skills and can open doors to specialized roles in the engineering field without the time commitment of a full degree.

Best Scientists Citing Giacomo Indiveri

Trending Scientists