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Neuromorphic Electronic Agents: from sensory processing to autonomous cognitive behavior

Deliverables

DMP

data management plan, a brief plan to define what data sets the project will generate or process, whether and how these data will be made accessible, and how they will be curated, stored and preserved. The data management plan should also provide information on the measures taken to safeguard and protect sensitive data.

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Publications

An error-propagation spiking neural network compatible with neuromorphic processors

Author(s): Matteo Cartiglia; Germain Haessig; Giacomo Indiveri
Published in: 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020, Page(s) 84-88
Publisher: IEEE
DOI: 10.1109/aicas48895.2020.9073856

Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks

Author(s): Nik Dennler; Germain Haessig; Matteo Cartiglia; Giacomo Indiveri
Published in: 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021
Publisher: IEEE
DOI: 10.1109/aicas51828.2021.9458403

Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach

Author(s): Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya
Published in: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, Page(s) 1-5, ISBN 978-1-7281-3320-1
Publisher: IEEE
DOI: 10.1109/iscas45731.2020.9180628

Robust implementation of cognitive computing computational primitives in mixed-signal neuromorphic processors

Author(s): Dmitrii Zendrikov, Sergio Solinas, Ning Qiao and Giacomo Indiveri
Published in: Conference proceedings, 1 first time this conference was organized, 2018
Publisher: Conference in Cognitive Computing 2018, Herrenhausen, Hannover. Merging Concepts with Hardware.

A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation

Author(s): Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio Solinas, Giacomo Indiveri
Published in: 2019 International Joint Conference on Neural Networks (IJCNN), 2019, Page(s) 1-8, ISBN 978-1-7281-1985-4
Publisher: IEEE
DOI: 10.1109/ijcnn.2019.8852360

Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup

Author(s): Nicoletta Risi; Enrico Calabrese; Giacomo Indiveri
Published in: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Publisher: IEEE
DOI: 10.1109/iscas51556.2021.9401402

Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits

Author(s): Julian Büchel; Jonathan Kakon; Michel Perez; Giacomo Indiveri
Published in: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Publisher: IEEE
DOI: 10.1109/iscas51556.2021.9401767

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Author(s): Azghadi, Mostafa Rahimi; Lammie, Corey; Eshraghian, Jason K; Payvand, Melika; Donati, Elisa; Linares-Barranco, Bernabe; Indiveri, Giacomo
Published in: IEEE Transactions on Biomedical Circuits and Systems, 14 (6), 2020, Page(s) 1138-1159, ISSN 1932-4545
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.5167/uzh-200402

A recipe for creating ideal hybrid memristive-CMOS neuromorphic processing systems

Author(s): E. Chicca, G. Indiveri
Published in: Applied Physics Letters, 116/12, 2020, Page(s) 120501, ISSN 0003-6951
Publisher: American Institute of Physics
DOI: 10.1063/1.5142089

A spiking neural network (SNN) for detecting high frequency oscillations (HFOs) in the intraoperative ECoG.

Author(s): Karla Burelo; Mohammadali Sharifshazileh; Niklaus Krayenbühl; Georgia Ramantani; Georgia Ramantani; Giacomo Indiveri; Giacomo Indiveri; Johannes Sarnthein
Published in: Scientific Reports, 2021, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.3929/ethz-b-000477430

Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors

Author(s): Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya
Published in: IEEE Transactions on Neural Networks and Learning Systems, 31/9, 2020, Page(s) 3305-3318, ISSN 2162-237X
Publisher: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2019.2941506

A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain

Author(s): Anna-Maria Jürgensen; Afshin Khalili; Elisabetta Chicca; Giacomo Indiveri; Martin P. Nawrot
Published in: Neuromorphic Computing and Engineering, 1 (2), 2021, ISSN 2634-4386
Publisher: IOP Publishing
DOI: 10.1088/2634-4386/ac3ba6

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

Author(s): Julian Büchel; Dmitrii Zendrikov; Sergio Solinas; Giacomo Indiveri; Dylan R. Muir
Published in: Scientific Reports, 2021, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-021-02779-x

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

Author(s): Giacomo Indiveri, Yulia Sandamirskaya
Published in: IEEE Signal Processing Magazine, 36/6, 2019, Page(s) 16-28, ISSN 1053-5888
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2019.2928376

Neural State Machines for Robust Learning and Control of Neuromorphic Agents

Author(s): Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri
Published in: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 9/4, 2019, Page(s) 679-689, ISSN 2156-3357
Publisher: IEEE Circuits and Systems Society
DOI: 10.1109/jetcas.2019.2951442

Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

Author(s): Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri
Published in: IEEE Transactions on Biomedical Circuits and Systems, 13/6, 2019, Page(s) 1575-1582, ISSN 1932-4545
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbcas.2019.2953001

A Neuromorphic Computational Primitive for Robust Context-Dependent Decision Making and Context-Dependent Stochastic Computation

Author(s): Dongchen Liang, Giacomo Indiveri
Published in: IEEE Transactions on Circuits and Systems II: Express Briefs, 66/5, 2019, Page(s) 843-847, ISSN 1549-7747
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsii.2019.2907848

Organizing Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields

Author(s): Raphaela Kreiser, Dora Aathmani, Ning Qiao, Giacomo Indiveri, Yulia Sandamirskaya
Published in: Frontiers in Neuroscience, 12, 2018, Page(s) 717, ISSN 1662-453X
Publisher: Frontiers Media
DOI: 10.3389/fnins.2018.00717

Introducing ‘Neuromorphic Computing and Engineering’

Author(s): Indiveri, Giacomo
Published in: Neuromorphic Computing and Engineering, 1, 2021, Page(s) 010401, ISSN 2634-4386
Publisher: IOP Publishing
DOI: 10.1088/2634-4386/ac0a5b

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Author(s): Rubino, Arianna; Livanelioglu, Can; Qiao, Ning; Payvand, Melika; Indiveri, Giacomo
Published in: IEEE Transactions on Circuits and Systems I: Regular Papers, 68 (1), 2021, Page(s) 45-56, ISSN 1549-8328
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsi.2020.3035575

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

Author(s): Jingyue Zhao; Nicoletta Risi; Marco Monforte; Chiara Bartolozzi; Giacomo Indiveri; Elisa Donati
Published in: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020, ISSN 2156-3357
Publisher: IEEE Circuits and Systems Society
DOI: 10.1109/jetcas.2020.3040390

An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG

Author(s): Sharifshazileh, Mohammadali; Burelo, Karla; Sarnthein, Johannes; Indiveri, Giacomo
Published in: Nature Communications, 2021, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.5167/uzh-203518