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Neural Information Processing Group
- 2 followers
- Berlin, Germany
- https://www.ni.tu-berlin.de/
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- Supplementaries-to-TASLP-SELD-Spatial-Segregation
Supplementaries-to-TASLP-SELD-Spatial-Segregation PublicSupplementary materials to Trowitzsch et al (2019), "Joining Sound Event Detection and Localization Through Spatial Segregation", in prep., IEEE Transactions on Audio, Speech, Language Processing.
- ni_vision_gui
ni_vision_gui PublicROS plugin around ni_vision nodes for interactive control and visualizing outputs
Python 1
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nigroup/rsatools's past year of commit activity Uh oh!
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nigroup/nideep's past year of commit activity - binaural_audition Public
Machine learning methods employing artifical neural networks for recognition of environmental sounds in binaural auditory scenes.
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nigroup/binaural_audition's past year of commit activity - ni_vision Public
A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception
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nigroup/ni_vision's past year of commit activity - IF_extension Public
Extension for integrate-and-fire neuron models to account for the effects of weak electric fields and input filtering caused by the dendrite: a Python implementation. The extension components were derived from a ball-and-stick model, see Aspart, Ladenbauer, Obermayer (2016).
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nigroup/IF_extension's past year of commit activity - Supplementaries-to-TASLP-SELD-Spatial-Segregation Public
Supplementary materials to Trowitzsch et al (2019), "Joining Sound Event Detection and Localization Through Spatial Segregation", in prep., IEEE Transactions on Audio, Speech, Language Processing.
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nigroup/mi1script's past year of commit activity - brian2cuda Public Forked from brian-team/brian2cuda
Run Brian 2 code on the GPU using generated CUDA code
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nigroup/brian2cuda's past year of commit activity - fokker-planck-based-spike-rate-models Public Forked from neuromethods/fokker-planck-based-spike-rate-models
Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) solution of the full FP PDE, (ii) low-dim. ODE via spectral decomposition of the FP operator, (iii) low-dim. ODE via a linear-nonlinear cascade semianalytically fit to the FP model.
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nigroup/fokker-planck-based-spike-rate-models's past year of commit activity
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