Coordinated and co-supervised work

 

PhD projects


Solving machine learning problems with biological principles

Luziwei Leng, PhD Thesis 2019


Modeling and Verification for a Scalable  Neuromorphic Substrate

Paul Müller, PhD Thesis 2017


Computing with Noise in Spiking Neural Networks

Ilja Bytschok, PhD Thesis 2017


 

Master's projects


Training Deep Networks with Time-to-First-Spike Coding on the BrainScaleS Wafer-Scale System

Julian Göltz, Master's Thesis 2019


Implementing spike-based tempering on the BrainScaleS-1 mixed-signal neuromorphic system

Madison Cotteret, Master's Thesis 2019


Demonstrating Advantages of Neuromorphic Computation

Timo Wunderlich, Master's Thesis 2019


A Markovian Model of LIF Networks

Nico Gürtler, Master's Thesis 2018


Spatio-Temporal Predictions with Spiking Neural Networks

Maximilian Zenk, Master's Thesis 2018


Simulated Tempering in Spiking Neural Networks

Agnes Korcsak-Gorzo, Master's Thesis 2017


Sampling with leaky integrate-and-fire neurons on the HICANNv4 neuromorphic chip

Akos Kungl, Master's Thesis 2016


Magnetic Phenomena in Spiking Neural Networks

Andreas Baumbach, Master's Thesis 2016


Stochastic Computation in Spiking Neural Networks Without Noise

Dominik Dold, Master's Thesis 2016


Towards a Neuromorphic Implementation of Spike-Based Expectation Maximization

Oliver Breitwieser, Master's Thesis 2015


Generative Properties of LIF-based Boltzmann Machines

Roman Martel, Master's Thesis 2015


A Neural Implementation of Probabilistic Inference in Binary Probability Spaces

Dimitri Probst, Master's Thesis 2014


Deep Learning Architectures for Neuromorphic Hardware

Luziwei Leng, Master's Thesis 2014


 

Bachelor's projects


The Effect of Asymmetric Weight Variability on Sampling Processes based on Boltzmann Machines in Neuromorphic Hardware Applications

Jannik Fehre, Bachelor's Thesis 2017


Accelerated Classification in Hierarchical Neural Networks on Neuromorphic Hardware

Carola Fischer, Bachelor's Thesis 2017


Struktur schafft Robustheit: Eine Untersuchung hierarchischer neuronaler Netzwerke mit unpräzisen Komponenten

Anna Schroeder, Bachelor's Thesis 2016


STDP-Based Contrastive Divergence Training for LIF-Based Boltzmann Machines

Christian Weilbach, Bachelor's Thesis 2015


Firing States of Recurrent Leaky Integrate-and-Fire Networks

Agnes Korcsak-Gorzo, Bachelor's Thesis 2015


Boltzmann Sampling with Neuromorphic Hardware

David Stöckel, Bachelor's Thesis 2015


Predictive Stochastic Inference: From Abstract Models to Neuromorphic Implementation

Marco Roth, Bachelor's Thesis 2015


On the Memory Characteristic of a Cortical Attractor Network

Boris Rivkin, Bachelor's Thesis 2014


Distanzmaße für Spiketrains im Rahmen der Optimierung von Neuronparametern

Jonathan Born, Bachelor's Thesis 2012


Investigation of a Cortical Attractor-Memory Network

Oliver Breitwieser, Bachelor's Thesis 2011


 

Diploma projects


Toward Belief Propagation on Neuromorphic Hardware

Venelin Petkov, Diploma Thesis 2012


From Shared Input to correlated Neuron Dynamics: Development of a Predictive Framework

Ilja Bytschok, Diploma Thesis 2011


Distortions of Neural Network Models Induced by Their Emulation on Neuromorphic Hardware Devices

Paul Müller, Diploma Thesis 2011


 
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