Selected Publications

(2017). Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. Front. Comput. Neurosci. 11:84. doi:10.3389/fncom.2017.00084.

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(2015). ANNarchy: a code generation approach to neural simulations on parallel hardware. Front. Neuroinform. 9:19. doi: 10.3389/fninf.2015.00019.

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(2014). Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area. Front. Neurorobot. 8:4. doi:10.3389/fnbot.2014.00004.

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Latest Publication

More Publications

(2017). Sustainable computational science: the ReScience initiative. PeerJ Computer Science 3:e142. doi:10.7717/peerj-cs.142.

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ANNarchy (Artificial Neural Networks architect) is a neuro-simulator for rate-coded or spiking neural networks. The core of the library is written in C++ and distributed using openMP or CUDA. It provides an interface in Python for the definition of the networks.


My office is the StraNa building, room 1 / 348.