ObjSim

Dataset

Title ObjSim
Authors Michler Frank, Philipp Sebastian Thomas,
Description C++ library for simulating spiking neural networks.
License X11 License (https://spdx.org/licenses/X11.html)
References Michler F, Eckhorn R, Wachtler T (2009): Using Spatiotemporal Correlations to Learn Topographic Maps for Invariant Object Recognition. J Neurophysiol 102:953-64. [doi: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. [doi:10.1007/11829898_3]
Funding DFG, EC 53/11
DFG, DFG.5471310
Keywords Neuroscience
Spiking Neural Networks
Topographic Maps
Object Recognition
Data This dataset can be browsed online here or downloaded as a zip archive (186 MiB). The current version of the dataset repository, possibly with updates, can be found here.
DOI 10.12751/g-node.00fbef
Citation This dataset can be cited as:
Michler F, Philipp S, (2020) ObjSim. G-Node. doi:10.12751/g-node.00fbef
Please also consider citing the material listed in the references
Resource Type Software