Ritter H - Search Results

1

Evolving neural fields for problems with large input and output spaces.

Inden B, Jin Y, Haschke R, Ritter H. Inden B, et al. Among authors: ritter h. Neural Netw. 2012 Apr;28:24-39. doi: 10.1016/j.neunet.2012.01.001. Epub 2012 Jan 24. Neural Netw. 2012. PMID: 22391232 Free article.

2

Perceptual grouping by entrainment in coupled Kuramoto oscillator networks.

Meier M, Haschke R, Ritter HJ. Meier M, et al. Network. 2014 Mar-Jun;25(1-2):72-84. doi: 10.3109/0954898X.2014.882524. Network. 2014. PMID: 24571099

3

Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks.

Melnik A, Lach L, Plappert M, Korthals T, Haschke R, Ritter H. Melnik A, et al. Among authors: ritter h. Front Robot AI. 2021 Jun 29;8:538773. doi: 10.3389/frobt.2021.538773. eCollection 2021. Front Robot AI. 2021. PMID: 34268337 Free PMC article.

4

Large-scale data exploration with the hierarchically growing hyperbolic SOM.

Ontrup J, Ritter H. Ontrup J, et al. Among authors: ritter h. Neural Netw. 2006 Jul-Aug;19(6-7):751-61. doi: 10.1016/j.neunet.2006.05.015. Epub 2006 Jun 27. Neural Netw. 2006. PMID: 16806818

5

Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions.

Weng S, Wersing H, Steil JJ, Ritter H. Weng S, et al. Among authors: ritter h. IEEE Trans Neural Netw. 2006 Jul;17(4):843-862. doi: 10.1109/TNN.2006.873295. IEEE Trans Neural Netw. 2006. PMID: 16856650

6

Multidigit force control during unconstrained grasping in response to object perturbations.

Naceri A, Moscatelli A, Haschke R, Ritter H, Santello M, Ernst MO. Naceri A, et al. Among authors: ritter h. J Neurophysiol. 2017 May 1;117(5):2025-2036. doi: 10.1152/jn.00546.2016. Epub 2017 Feb 22. J Neurophysiol. 2017. PMID: 28228582 Free PMC article.

7

The dynamic wave expansion neural network model for robot motion planning in time-varying environments.

Lebedev DV, Steil JJ, Ritter HJ. Lebedev DV, et al. Neural Netw. 2005 Apr;18(3):267-85. doi: 10.1016/j.neunet.2005.01.004. Neural Netw. 2005. PMID: 15896575

8

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning.

Schilling M, Melnik A, Ohl FW, Ritter HJ, Hammer B. Schilling M, et al. Neural Netw. 2021 Dec;144:699-725. doi: 10.1016/j.neunet.2021.09.017. Epub 2021 Oct 1. Neural Netw. 2021. PMID: 34673323 Free article.

9

The MindGame: a P300-based brain-computer interface game.

Finke A, Lenhardt A, Ritter H. Finke A, et al. Among authors: ritter h. Neural Netw. 2009 Nov;22(9):1329-33. doi: 10.1016/j.neunet.2009.07.003. Epub 2009 Jul 16. Neural Netw. 2009. PMID: 19635654

10

Interactive image data labeling using self-organizing maps in an augmented reality scenario.

Bekel H, Heidemann G, Ritter H. Bekel H, et al. Among authors: ritter h. Neural Netw. 2005 Jun-Jul;18(5-6):566-74. doi: 10.1016/j.neunet.2005.06.040. Neural Netw. 2005. PMID: 16112547 Free article.

(An abbreviated version of some portions of this article appeared in [Bekel, H., Heidemann, G., & Ritter, H. (2005). SOM Based Image Data Structuring in an Augmented Reality Scenario. ...

(An abbreviated version of some portions of this article appeared in [Bekel, H., Heidemann, G., & Ritter, H. (2005) …

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