What can computer vision learn from visual neuroscience? Introduction to the special issue.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 297, doi. 10.1007/s00422-023-00977-6
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Works matching IS 03401200 AND DT 2023 AND VI 117 AND IP 4/5
Results: 10
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Learning heterogeneous delays in a layer of spiking neurons for fast motion detection.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 373, doi. 10.1007/s00422-023-00975-8
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- Article
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Stakes of neuromorphic foveation: a promising future for embedded event cameras.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 389, doi. 10.1007/s00422-023-00974-9
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- Article
4
Bio-inspired, task-free continual learning through activity regularization.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 345, doi. 10.1007/s00422-023-00973-w
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5
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 285, doi. 10.1007/s00422-023-00971-y
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6
The Bcm rule allows a spinal cord model to learn rhythmic movements.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 275, doi. 10.1007/s00422-023-00970-z
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7
Periodic solutions in next generation neural field models.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 259, doi. 10.1007/s00422-023-00969-6
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- Article
8
Extreme image transformations affect humans and machines differently.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 331, doi. 10.1007/s00422-023-00968-7
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- Article
9
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 363, doi. 10.1007/s00422-023-00967-8
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- Article
10
Canonical circuit computations for computer vision.
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- Biological Cybernetics, 2023, v. 117, n. 4/5, p. 299, doi. 10.1007/s00422-023-00966-9
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- Publication type:
- Article