Picture for Giacomo Indiveri

Giacomo Indiveri

Institute of Neuroinformatics, University of Zurich and ETH Zurich

FPGA Implementation of An Event-driven Saliency-based Selective Attention Model

Add code
Nov 25, 2022
Viaarxiv icon

An Adaptive Event-based Data Converter for Always-on Biomedical Applications at the Edge

Add code
Nov 23, 2022
Viaarxiv icon

Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits

Add code
Sep 30, 2022
Figure 1 for Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Figure 2 for Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Figure 3 for Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Figure 4 for Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Viaarxiv icon

Neuromorphic Visual Odometry with Resonator Networks

Add code
Sep 05, 2022
Figure 1 for Neuromorphic Visual Odometry with Resonator Networks
Figure 2 for Neuromorphic Visual Odometry with Resonator Networks
Figure 3 for Neuromorphic Visual Odometry with Resonator Networks
Figure 4 for Neuromorphic Visual Odometry with Resonator Networks
Viaarxiv icon

Neuromorphic implementation of ECG anomaly detection using delay chains

Add code
Sep 02, 2022
Figure 1 for Neuromorphic implementation of ECG anomaly detection using delay chains
Figure 2 for Neuromorphic implementation of ECG anomaly detection using delay chains
Figure 3 for Neuromorphic implementation of ECG anomaly detection using delay chains
Figure 4 for Neuromorphic implementation of ECG anomaly detection using delay chains
Viaarxiv icon

Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors

Add code
Aug 29, 2022
Figure 1 for Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Figure 2 for Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Figure 3 for Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Figure 4 for Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Viaarxiv icon

Neuromorphic Visual Scene Understanding with Resonator Networks

Add code
Aug 26, 2022
Figure 1 for Neuromorphic Visual Scene Understanding with Resonator Networks
Figure 2 for Neuromorphic Visual Scene Understanding with Resonator Networks
Figure 3 for Neuromorphic Visual Scene Understanding with Resonator Networks
Figure 4 for Neuromorphic Visual Scene Understanding with Resonator Networks
Viaarxiv icon

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales

Add code
Aug 20, 2022
Figure 1 for ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Figure 2 for ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Figure 3 for ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Figure 4 for ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Viaarxiv icon

Organic log-domain integrator synapse

Add code
Mar 23, 2022
Viaarxiv icon

A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors

Add code
Mar 01, 2022
Figure 1 for A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Figure 2 for A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Figure 3 for A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Figure 4 for A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Viaarxiv icon