ArticleNature communications2022
Neuromorphic object localization using resistive memories and ultrasonic transducers.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 47 citations in OpenAlex.
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Giant piezoelectric response and electromechanical coupling in AlScN thin films via multi-scale lattice engineering.Nature communications · 2026Article
- Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing.Nature communications · 2026Article
- Neuromorphic Near-Sensor and In-Sensor Computing Enabled by Next-Generation Material-Based Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Signal processing and resistive switching mechanisms of niobium oxides.Science and technology of advanced materials · 2026Review
- Dynamic sensor adaptation based on efferent feedback for adaptive bio-inspired sound source localization.Frontiers in neuroscience · 2026Article
- Posture Estimation from Tactile Signals Using a Masked Forward Diffusion Model.Sensors (Basel, Switzerland) · 2025Article
- Assessment of functional performance in self-rectifying passive crossbar arrays utilizing sneak path current.Scientific reports · 2024Article
- Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance.Nature communications · 2024Article
- Spiking neural networks for nonlinear regression.Royal Society open science · 2024Article
- DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays.Nature communications · 2024Article
- An artificial neuromuscular junction for enhanced reflexes and oculomotor dynamics based on a ferroelectric CuInPScience advances · 2023Article
- Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures.Sensors (Basel, Switzerland) · 2023Article
- Research progress in architecture and application of RRAM with computing-in-memory.Nanoscale advances · 2023Review
- Thin-film PMUTs: a review of over 40 years of research.Microsystems & nanoengineering · 2023Review
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary Metal-Oxide Semiconductor neuromorphic architectures provide an ideal hardware substrate for such tasks. To demonstrate the full potential of such systems, we propose and experimentally demonstrate an end-to-end sensory processing solution for a real-world object localization application. Drawing inspiration from the barn owl's neuroanatomy, we developed a bio-inspired, event-driven object localization system that couples state-of-the-art piezoelectric micromachined ultrasound transducer sensors to a neuromorphic resistive memories-based computational map. We present measurement results from the fabricated system comprising resistive memories-based coincidence detectors, delay line circuits, and a full-custom ultrasound sensor. We use these experimental results to calibrate our system-level simulations. These simulations are then used to estimate the angular resolution and energy efficiency of the object localization model. The results reveal the potential of our approach, evaluated in orders of magnitude greater energy efficiency than a microcontroller performing the same task.
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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.