Software
ObjSim
- 1Philipps-Universität Marburg
DOI: 10.12751/g-node.00fbef BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 186 MiB)
Published 09 Jan. 2020 | License X11 License
Description
C++ library for simulating spiking neural networks.
Keywords
| Neuroscience | Spiking Neural Networks | Topographic Maps | Object Recognition |References
- Michler F, Eckhorn R, Wachtler T (2009): Using Spatiotemporal Correlations to Learn Topographic Maps for Invariant Object Recognition. J Neurophysiol 102:953-64. https://doi.org/10.1152/jn.90651.2008
- Michler F, Wachtler T, Eckhorn R (2006): Adaptive Feedback Inhibition Improves Pattern Discrimination Learning. Lecture Notes in Artificial Intelligence 4087:21-32. https://doi.org/10.1007/11829898_3
Funding
- DFG EC 53/11
- DFG DFG.5471310