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Neural Information Processing Group's Projects

binaural_audition icon binaural_audition

Machine learning methods employing artifical neural networks for recognition of environmental sounds in binaural auditory scenes.

brian2cuda icon brian2cuda

Run Brian 2 code on the GPU using generated CUDA code

fokker-planck-based-spike-rate-models icon 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.

if_extension icon if_extension

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).

mi1script icon mi1script

latex sources for generating the MI 1 lecture notes

mi2script icon mi2script

latex sources for generating the MI 2 lecture notes

ni_vision icon ni_vision

A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception

ni_vision_gui icon ni_vision_gui

ROS plugin around ni_vision nodes for interactive control and visualizing outputs

nideep icon nideep

collection of utilities to use with deep learning libraries (e.g. caffe)

pypet icon pypet

The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.

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