Search Results - "Brüderle, Daniel"

A wafer-scale neuromorphic hardware system for large-scale neural modeling by Schemmel, Johannes, Bruderle, Daniel, Grubl, Andreas, Hock, Matthias, Meier, Karlheinz, Millner, Sebastian

“…Modeling neural tissue is an important tool to investigate biological neural networks. Until recently, most of this modeling has been done using numerical…”
Get full text

PyNN: a common interface for neuronal network simulators by Davison, Andrew P

“…Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences…”
Get full text

Six networks on a universal neuromorphic computing substrate by Pfeil, Thomas, Grübl, Andreas, Jeltsch, Sebastian, Müller, Eric, Müller, Paul, Petrovici, Mihai A, Schmuker, Michael, Brüderle, Daniel, Schemmel, Johannes, Meier, Karlheinz

“…In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of…”
Get full text

Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons by Schemmel, Johannes, Bruderle, Daniel, Meier, Karlheinz, Ostendorf, Boris

“…When studying the different aspects of synaptic plasticity, the timescales involved range from milliseconds to hours, thus covering at least seven orders of…”
Get full text

Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system by Brüderle, Daniel, Müller, Eric, Davison, Andrew, Muller, Eilif, Schemmel, Johannes, Meier, Karlheinz

“…Neuromorphic hardware systems provide new possibilities for the neuroscience modeling community. Due to the intrinsic parallelism of the micro-electronic…”
Get full text

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity by Bill, Johannes, Schuch, Klaus, Brüderle, Daniel, Schemmel, Johannes, Maass, Wolfgang, Meier, Karlheinz

“…Recent developments in neuromorphic hardware engineering make mixed-signal VLSI neural network models promising candidates for neuroscientific research tools…”
Get full text

Verifying the biological relevance of a neuromorphic hardware device by Brüderle, Daniel, Meier, Karlheinz, Mueller, Eilif, Schemmel, Johannes

Get full text

Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system by Bruderle, Daniel, Bill, Johannes, Kaplan, Bernhard, Kremkow, Jens, Meier, Karlheinz, Muller, Eric, Schemmel, Johannes

“…In this paper we describe our approach towards highly configurable neuromorphic hardware systems that serve as useful and flexible tools in modeling…”
Get full text

Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system by Bruderle, Daniel, Bill, Johannes, Kaplan, Bernhard, Kremkow, Jens, Meier, Karlheinz, Muller, Eric, Schemmel, Johannes

“…We will set up a fully functional system consisting of a custom design hardware framework (Figures 1 and 2) with the neural network chips described in the…”
Get full text

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems by Brüderle, Daniel, Petrovici, Mihai A., Vogginger, Bernhard, Ehrlich, Matthias, Pfeil, Thomas, Millner, Sebastian, Grübl, Andreas, Wendt, Karsten, Müller, Eric, Schwartz, Marc-Olivier, de Oliveira, Dan Husmann, Jeltsch, Sebastian, Fieres, Johannes, Schilling, Moritz, Müller, Paul, Breitwieser, Oliver, Petkov, Venelin, Muller, Lyle, Davison, Andrew P., Krishnamurthy, Pradeep, Kremkow, Jens, Lundqvist, Mikael, Muller, Eilif, Partzsch, Johannes, Scholze, Stefan, Zühl, Lukas, Mayr, Christian, Destexhe, Alain, Diesmann, Markus, Potjans, Tobias C., Lansner, Anders, Schüffny, René, Schemmel, Johannes, Meier, Karlheinz

“…In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable…”
Get full text

Benchmarking the impact of information processing in the insect olfactory system with a spiking neuromorphic classifier by Schmuker, Michael, Häusler, Chris, Brüderle, Daniel, Nawrot, Martin P

Get full text

PyNN: A Common Interface for Neuronal Network Simulators by Davison, Andrew P, Brüderle, Daniel, Eppler, Jochen, Kremkow, Jens, Muller, Eilif, Pecevski, Dejan, Perrinet, Laurent, Yger, Pierre

“…Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences…”
Get full text

Six networks on a universal neuromorphic computing substrate by Pfeil, Thomas, Grübl, Andreas, Jeltsch, Sebastian, Müller, Eric, Müller, Paul, Petrovici, Mihai A, Schmuker, Michael, Brüderle, Daniel, Schemmel, Johannes, Meier, Karlheinz

“…Front. Neurosci. 7:11 (2013) In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural…”
Get full text

High-conductance states on a neuromorphic hardware system by Kaplan, B., Bruderle, D., Schemmel, J., Meier, K.

“…Under typical synaptical stimulation, cortical neurons exhibit a total membrane conductance which, compared to a situation without any input spikes, is…”
Get full text

A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems by Brüderle, Daniel, Petrovici, Mihai A, Vogginger, Bernhard, Ehrlich, Matthias, Pfeil, Thomas, Millner, Sebastian, Grübl, Andreas, Wendt, Karsten, Müller, Eric, Schwartz, Marc-Olivier, de Oliveira, Dan Husmann, Jeltsch, Sebastian, Fieres, Johannes, Schilling, Moritz, Müller, Paul, Breitwieser, Oliver, Petkov, Venelin, Muller, Lyle, Davison, Andrew P, Krishnamurthy, Pradeep, Kremkow, Jens, Lundqvist, Mikael, Muller, Eilif, Partzsch, Johannes, Scholze, Stefan, Zühl, Lukas, Mayr, Christian, Destexhe, Alain, Diesmann, Markus, Potjans, Tobias C, Lansner, Anders, Schüffny, René, Schemmel, Johannes, Meier, Karlheinz

“…Biol Cybern. 2011 May;104(4-5):263-96 In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of…”
Get full text