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Neural circuits for pain: Recent advances and current views
Neural circuits for pain: Recent advances and current views
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Neural circuits for pain: Recent advances and current views

Peirs, Cedric ; Seal, Rebecca P.

Science (American Association for the Advancement of Science), 2016-11, Vol.354 (6312), p.578-584 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
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Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition

Sanchez-Garcia, Melani ; Chauhan, Tushar ; Cottereau, Benoit R. ; Beyeler, Michael

Biological cybernetics, 2023-04, Vol.117 (1-2), p.95-111 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Deep active inference
Deep active inference
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Deep active inference

Ueltzhöffer, Kai

Biological cybernetics, 2018-12, Vol.112 (6), p.547-573 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
NeuroSLAM: a brain-inspired SLAM system for 3D environments
NeuroSLAM: a brain-inspired SLAM system for 3D environments
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NeuroSLAM: a brain-inspired SLAM system for 3D environments

Yu, Fangwen ; Shang, Jianga ; Hu, Youjian ; Milford, Michael

Biological cybernetics, 2019-12, Vol.113 (5-6), p.515-545 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Hierarchical reasoning by neural circuits in the frontal cortex
Hierarchical reasoning by neural circuits in the frontal cortex
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Hierarchical reasoning by neural circuits in the frontal cortex

Sarafyazd, Morteza ; Jazayeri, Mehrdad

Science (American Association for the Advancement of Science), 2019-05, Vol.364 (6441) [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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6
Excitable networks for finite state computation with continuous time recurrent neural networks
Excitable networks for finite state computation with continuous time recurrent neural networks
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Excitable networks for finite state computation with continuous time recurrent neural networks

Ashwin, Peter ; Postlethwaite, Claire

Biological cybernetics, 2021-10, Vol.115 (5), p.519-538 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Codimension-2 parameter space structure of continuous-time recurrent neural networks
Codimension-2 parameter space structure of continuous-time recurrent neural networks
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Codimension-2 parameter space structure of continuous-time recurrent neural networks

Beer, Randall D.

Biological cybernetics, 2022-08, Vol.116 (4), p.501-515 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Autoencoders reloaded
Autoencoders reloaded
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Autoencoders reloaded

Bourlard, Hervé ; Kabil, Selen Hande

Biological cybernetics, 2022-08, Vol.116 (4), p.389-406 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Empirical modeling and prediction of neuronal dynamics
Empirical modeling and prediction of neuronal dynamics
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Empirical modeling and prediction of neuronal dynamics

Fisco-Compte, Pau ; Aquilué-Llorens, David ; Roqueiro, Nestor ; Fossas, Enric ; Guillamon, Antoni

Biological cybernetics, 2024-04, Vol.118 (1-2), p.83-110 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
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Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks

Vogels, T. P. ; Sprekeler, H. ; Zenke, F. ; Clopath, C. ; Gerstner, W.

Science (American Association for the Advancement of Science), 2011-12, Vol.334 (6062), p.1569-1573 [Periódico revisado por pares]

Washington, DC: American Association for the Advancement of Science

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