Original Research
Published on 04 Jan 2024
Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1323121
- 1,962 views
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518 articles
Articles
Original Research
Published on 04 Dec 2023
Experimental demonstration of coupled differential oscillator networks for versatile applications
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1294954
- 1,340 views
Original Research
Published on 30 Nov 2023
Neuron pruning in temporal domain for energy efficient SNN processor design
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1285914
- 1,978 views
Original Research
Published on 29 Nov 2023
Learning algorithms for oscillatory neural networks as associative memory for pattern recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1257611
- 1,913 views
- 1 citation
Original Research
Published on 24 Nov 2023
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1244675
- 2,261 views
- 7 citations
Original Research
Published on 10 Nov 2023
STCA-SNN: self-attention-based temporal-channel joint attention for spiking neural networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1261543
- 2,296 views
- 2 citations
Original Research
Published on 09 Nov 2023
Learnable axonal delay in spiking neural networks improves spoken word recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1275944
- 2,090 views
- 5 citations
Original Research
Published on 01 Nov 2023
Spiking neural networks fine-tuning for brain image segmentation
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1267639
- 2,582 views
- 4 citations
Editorial
Published on 26 Oct 2023
Editorial: Cutting-edge systems and materials for brain-inspired computing, adaptive bio-interfacing and smart sensing: implications for neuromorphic computing and biointegrated frameworks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1321387
- 1,533 views
Original Research
Published on 11 Oct 2023
Biologically plausible local synaptic learning rules robustly implement deep supervised learning
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1160899
- 2,328 views
- 1 citation
Review
Published on 05 Oct 2023
Graphene-based RRAM devices for neural computing
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1253075
- 4,467 views
- 4 citations
Original Research
Published on 02 Oct 2023
First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1266003
- 3,488 views
Original Research
Published on 27 Sep 2023
Gradient-based feature-attribution explainability methods for spiking neural networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1153999
- 2,265 views
- 2 citations
Original Research
Published on 14 Sep 2023
Efficient human activity recognition with spatio-temporal spiking neural networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1233037
- 2,453 views
- 7 citations
Original Research
Published on 13 Sep 2023
ALBSNN: ultra-low latency adaptive local binary spiking neural network with accuracy loss estimator
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1225871
- 1,518 views
- 4 citations
Original Research
Published on 01 Sep 2023
IRIS: Integrated Retinal Functionality in Image Sensors
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2023.1241691
- 2,886 views
- 3 citations