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A neuroscientific sequence learning model on spiking neural networks with winner-take-all circuits and lateral inhibition. Written using the NEST neural simulator and custom neuron/synapse models.

License: MIT License

TeX 26.79% Python 45.57% CMake 1.91% C++ 25.73%
nest sequence-learning spiking-neural-network winner-take-all lateral-inhibition simulation

sequence-learning's Introduction

About Me

๐Ÿ‘‹ I am a Data Science student at RWTH Aachen University (Germany)
๐Ÿ‘€ Interested in Life Science applications of Data and Computer Sciences across the whole biological domain

Skills

Languages

Python Java C++ C# LaTeX HTML SAS

Frameworks and Libraries

NumPy Pandas Matplotlib Django Bootstrap NEST

Software and Tools

Git GitHub Visual Studio Code Linux Windows PyCharm Terminal Markdown GNOME

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