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Jun Tani

Showing results (31-40 of 56) with videos related to

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Plos Computational Biology|October 27, 2011
A neurodynamic account of spontaneous behaviourJun Namikawa, Ryunosuke Nishimoto, Jun Tani
Frontiers in Psychology|December 18, 2020
A Hybrid Human-Neurorobotics Approach to Primary Intersubjectivity via Active InferenceHendry F Chame, Ahmadreza Ahmadi, Jun Tani
Neural Computation|August 6, 2024
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy PrincipleTheodore Jerome Tinker, Kenji Doya, Jun Tani
Cognitive Neuroscience|June 18, 2025
How deep will you go? Hierarchy in predictive coding and transformersJeffrey F Queißer, Henrique Oyama, Jun Tani
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2008
Achieving "organic compositionality" through self-organization: reviews on brain-inspired robotics experimentsJun Tani, Ryunosuke Nishimoto, Rainer W Paine
Cognitive Neurodynamics|February 2, 2013
Neuro-robotics study on integrative learning of proactive visual attention and motor behaviorsSungmoon Jeong, Hiroaki Arie, Minho Lee, et al.
Neuroscience Research|September 28, 2011
A direct neuronal connection between the telencephalic nucleus robustus arcopallialis and the nucleus nervi hypoglossi, pars tracheosyringealis in Bengalese finches (Lonchura striata var. domestica)Yasuko Tobari, Tetsu Okumura, Jun Tani, et al.
Entropy (Basel, Switzerland)|February 26, 2025
The Epistemic Uncertainty Gradient in Spaces of Random ProjectionsJeffrey F Queißer, Jun Tani, Jochen J Steil
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 14, 2008
Codevelopmental learning between human and humanoid robot using a dynamic neural-network modelJun Tani, Ryu Nishimoto, Jun Namikawa, et al.
Entropy (Basel, Switzerland)|August 28, 2025
Active Inference with Dynamic Planning and Information Gain in Continuous Space by Inferring Low-Dimensional Latent StatesTakazumi Matsumoto, Kentaro Fujii, Shingo Murata, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Plos Computational Biology|October 27, 2011
A neurodynamic account of spontaneous behaviourJun Namikawa, Ryunosuke Nishimoto, Jun Tani
Frontiers in Psychology|December 18, 2020
A Hybrid Human-Neurorobotics Approach to Primary Intersubjectivity via Active InferenceHendry F Chame, Ahmadreza Ahmadi, Jun Tani
Neural Computation|August 6, 2024
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy PrincipleTheodore Jerome Tinker, Kenji Doya, Jun Tani
Cognitive Neuroscience|June 18, 2025
How deep will you go? Hierarchy in predictive coding and transformersJeffrey F Queißer, Henrique Oyama, Jun Tani
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2008
Achieving "organic compositionality" through self-organization: reviews on brain-inspired robotics experimentsJun Tani, Ryunosuke Nishimoto, Rainer W Paine
Cognitive Neurodynamics|February 2, 2013
Neuro-robotics study on integrative learning of proactive visual attention and motor behaviorsSungmoon Jeong, Hiroaki Arie, Minho Lee, et al.
Neuroscience Research|September 28, 2011
A direct neuronal connection between the telencephalic nucleus robustus arcopallialis and the nucleus nervi hypoglossi, pars tracheosyringealis in Bengalese finches (Lonchura striata var. domestica)Yasuko Tobari, Tetsu Okumura, Jun Tani, et al.
Entropy (Basel, Switzerland)|February 26, 2025
The Epistemic Uncertainty Gradient in Spaces of Random ProjectionsJeffrey F Queißer, Jun Tani, Jochen J Steil
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 14, 2008
Codevelopmental learning between human and humanoid robot using a dynamic neural-network modelJun Tani, Ryu Nishimoto, Jun Namikawa, et al.
Entropy (Basel, Switzerland)|August 28, 2025
Active Inference with Dynamic Planning and Information Gain in Continuous Space by Inferring Low-Dimensional Latent StatesTakazumi Matsumoto, Kentaro Fujii, Shingo Murata, et al.
Pageof 6