ArticleFrontiers in neuroscience2021
Comparison of Artificial and Spiking Neural Networks on Digital Hardware.
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 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026Review
- A hardware-grounded energy taxonomy for comparing deep and Spiking Neural Network inference on edge platforms.Frontiers in neuroscience · 2026Review
- Unsupervised post-training learning in spiking neural networks.Scientific reports · 2025Article
- Synaptic facilitation and learning of multiplexed neural signals.Frontiers in network physiology · 2025Article
- Modeling and simulation of soft bio-mimetic fingers with a novel soft thumb design for bionic hand applications using ANN.Biotechnology notes (Amsterdam, Netherlands) · 2025Article
- Learning long sequences in spiking neural networks.Scientific reports · 2024Article
- BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.Nature communications · 2024Article
- Enhanced Synaptic Behaviors in Chitosan Electrolyte-Based Electric-Double-Layer Transistors with Poly-Si Nanowire Channel Structures.Biomimetics (Basel, Switzerland) · 2023Article
- Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning.Scientific reports · 2023Article
- NeuroCARE: A generic neuromorphic edge computing framework for healthcare applications.Frontiers in neuroscience · 2023Article
- STNet: A novel spiking neural network combining its own time signal with the spatial signal of an artificial neural network.Frontiers in neuroscience · 2023Article
- Memory-inspired spiking hyperdimensional network for robust online learning.Scientific reports · 2022Article
- Surrogate gradients for analog neuromorphic computing.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the success of Deep Neural Networks-a type of Artificial Neural Network (ANN)-in problem domains such as image recognition and speech processing, the energy and processing demands during both training and deployment are growing at an unsustainable rate in the push for greater accuracy. There is a temptation to look for radical new approaches to these applications, and one such approach is the notion that replacing the abstract neuron used in most deep networks with a more biologically-plausible spiking neuron might lead to savings in both energy and resource cost. The most common spiking networks use
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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.