ArticleFrontiers in neuroscience2019
A Spike Time-Dependent Online Learning Algorithm Derived From Biological Olfaction.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Heterogeneous quantization regularizes spiking neural network activity.Scientific reports · 2025Article
- A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning.Nature communications · 2025Article
- A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition.Sensors (Basel, Switzerland) · 2023Article
- A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons.Frontiers in neuroscience · 2021Article
- Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review.Sensors (Basel, Switzerland) · 2020Review
- Rapid online learning and robust recall in a neuromorphic olfactory circuit.Nature machine intelligence · 2020Article
- A Systematic Framework for Olfactory Bulb Signal Transformations.Frontiers in computational neuroscience · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
We have developed a spiking neural network (SNN) algorithm for signal restoration and identification based on principles extracted from the mammalian olfactory system and broadly applicable to input from arbitrary sensor arrays. For interpretability and development purposes, we here examine the properties of its initial feedforward projection. Like the full algorithm, this feedforward component is fully spike timing-based, and utilizes online learning based on local synaptic rules such as spike timing-dependent plasticity (STDP). Using an intermediate metric to assess the properties of this initial projection, the feedforward network exhibits high classification performance after few-shot learning without catastrophic forgetting, and includes a
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