Daniel Brüderle

According to our database1, Daniel Brüderle authored at least 13 papers between 2004 and 2011.

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Bibliography

2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011

2010
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity.
Frontiers Comput. Neurosci., 2010

A wafer-scale neuromorphic hardware system for large-scale neural modeling.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System.
Proceedings of the Artificial Neural Networks and Intelligent Information Processing, 2010

2009
Neuroscientific modeling with a mixed signal VLSI hardware system.
PhD thesis, 2009

Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system.
Frontiers Neuroinformatics, 2009

High-conductance states on a neuromorphic hardware system.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
PyNN: a common interface for neuronal network simulators.
Frontiers Neuroinformatics, 2008

2007
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology.
Proceedings of the Computational and Ambient Intelligence, 2007

Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2004
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA.
Proceedings of the Genetic and Evolutionary Computation, 2004


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