ArticleFrontiers in neuroscience2021
μBrain: An Event-Driven and Fully Synthesizable Architecture for Spiking Neural Networks.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 92 citations in OpenAlex.
- Voltage-Programmable Switching in Halide Perovskite Memristors by Asymmetric Contact Engineering.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A scalable neural network emulator with MRAM-based mixed-signal circuits.Frontiers in neuroscience · 2025Article
- Hardware implementation of FPGA-based spiking attention neural network accelerator.PeerJ. Computer science · 2025Article
- An Event-Based Neural Compressive Telemetry With >11× Loss-Less Data Reduction for High-Bandwidth Intracortical Brain Computer Interfaces.IEEE transactions on biomedical circuits and systems · 2024Article
- Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration.Frontiers in neuroscience · 2024Article
- EdgeMap: An Optimized Mapping Toolchain for Spiking Neural Network in Edge Computing.Sensors (Basel, Switzerland) · 2023Article
- SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges.Frontiers in neuroscience · 2023Article
- Adaptive STDP-based on-chip spike pattern detection.Frontiers in neuroscience · 2023Article
- An Implantable Neuromorphic Sensing System Featuring Near-sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves.IEEE journal of solid-state circuits · 2022Article
- Lead federated neuromorphic learning for wireless edge artificial intelligence.Nature communications · 2022Article
- Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of brain-inspired neuromorphic computing architectures as a paradigm for Artificial Intelligence (AI) at the edge is a candidate solution that can meet strict energy and cost reduction constraints in the Internet of Things (IoT) application areas. Toward this goal, we present μBrain: the first digital yet fully event-driven without clock architecture, with co-located memory and processing capability that exploits event-based processing to reduce an always-on system's overall energy consumption (μW dynamic operation). The chip area in a 40 nm Complementary Metal Oxide Semiconductor (CMOS) digital technology is 2.82 mm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.