Giacomo Indiveri
Full Professor
Designs mixed-signal neuromorphic circuits that implement spiking neural networks and on-chip spike-based learning for low-power edge computing.
Giacomo Indiveri's lab at ETH Zurich works on accelerators, chips & architecture and distributed, cloud & edge systems. 113 papers since 2023, 18 at top venues, mostly Nature Communications and Nature Machine Intelligence. 14 PhD students.
At a glance
- papers, 2023–2026
- 29/ year
- at T1 venues
- 16%
- PhD students
- 14
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 44 papers2025 · T1 10
- 37 papers2024 · T1 5
- 28 papers2023 · T1 0
T1 venuesOtherVenues: Nature Communications, Nature Machine Intelligence, Neuron, npj Robotics, npj Unconventional Computing
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems15 papers
- Accelerators, chips & architecture8 papers
- mixed-signal4 papers
- on-chip2 papers
- edge computing1 paper
Paper list
From the lab homepage.
20264 papers
- Nature Machine Intelligence (T1)A benchmarking framework for embodied neuromorphic agents
- TNNLS (T1)Beyond subject-specific models in dynamical human–machine interaction: benchmarking and optimization strategies
- Nature Communications (T1)Decoding phantom limb movements from intraneural recordings
- IEEE International Symposium on Circuits and Systems (ISCAS) 3146-3150Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks
202544 papers
- NICEA feedback control optimizer for online and hardware-aware training of Spiking Neural Networks
- Scientific ReportsA neuromorphic electronic artist for robotic painting
- npj Unconventional ComputingA neuromorphic multi-scale approach for real-time heart rate and state detection
- Nature Communications (T1)A neuromorphic processor with on-chip learning for beyond-CMOS device integration
- Neuromorphic Computing and Engineering 034006A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
- BMC Health Services ResearchAI, digital twins, and healthcare utilization behaviour: evidence from a Swiss population survey
- IEEE International Symposium on Circuits and Systems (ISCAS) 1-5An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
- IEEE International Symposium on Circuits and Systems (ISCAS) 1-5An Event-Based Line Sensor with Configurable Antagonistic Center Surround
- Nature Communications (T1)Backpropagation through space, time and the brain
- PNAS (T1)Biological fidelity: The engine driving the neuromorphic renaissance
- PloS Biology, 23:(11) e3003518Context-dependent activation of V1 parvalbumin interneurons enhances visual discrimination
- Neuromorphic Computing and Engineering 024004Continuous signal sparse encoding using analog neuromorphic variability
202437 papers
- Nature Communications (T1)A 4096 channel event-based multielectrode array with asynchronous outputs compatible with neuromorphic processors
- —A bio-inspired hardware implementation of an analog spike-based hippocampus memory model
- Nature Communications (T1)A CMOS-compatible oscillation-based VO2 Ising machine solver
- Cell Reportz MethodsA modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
- —A physical emulation of somatosensory cortex as a Neuromorphic Twin for neural prostheses
- International Conference on Neuromorphic Systems (ICONS) 376-380Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons
- IEEE Journal on Emerging and Selected Topics in Circuits and SystemsAn Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing
- Advanced Intelligent SystemsAnalog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors
- Advanced Intelligent SystemsAnalog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview
- Bioinspiration & Biomimetics 046005Asymmetric fin shape changes swimming dynamics of ancient marine reptiles’ soft robophysical models
- PNAS NexusConfidence and second-order errors in cortical circuits
- —Decoding gestures from intraneural recordings of a transradial amputee using event-based processing
202328 papers
- ISCASAn Adaptive Event-based Data Converter for Always-on Biomedical Applications at the Edge
- Biological Cybernetics 345-361Bio-inspired, task-free continual learning through activity regularization
- Proceedings of the IEEE 623-652Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence
- Neuromorphic Computing and Engineering, 3:(3) 034002Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems
- Tremor and Other Hyperkinetic MovementsBrief Submotor-Threshold Electrical Stimulation Applied Synchronously Over Wrist Flexor and Extensor Muscles does Not Suppress Essential Tremor, Independent of Stimulation Frequency
- ASYNCCore interface optimization for multi-core neuromorphic processors
- Scientific ReportsDendrites help mitigate the plasticity-stability dilemma
- Proceedings of the International Conference on Neuromorphic SystemsDendritic Computation through Exploiting Resistive Memory as both Delays and Weights
- Neuron 628-645.e7Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex
- ISCASEvent-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units
- IWASIEvent-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG
- BioCASFeed-forward and recurrent inhibition for compressing and classifying high dynamic range biosignals in spiking neural network architectures
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ETH ZurichRolling
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Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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