Currently there are no open project or thesis topics.
Ongoing Projects:
- Y. Hu: Max-pooling in Deep Spiking Neural Networks
Finished Projects:
- K. Völk: Spike-based reward-modulated Bayesian Hebbian learning
- P. O'Connor: Spiking Restricted Boltzmann Machines for sensory fusion
- D. Corneil: Probabilistic neural state machines
- P. Kassrain Fard: Reward-modulated STDP for learning of sequential decisions
- R. Holca: Autoencoder models for perceptual learning
- J. Soldado Magraner: Learning representations for decision making
- Y. Kashef: Translation- and scale-invariant spike-based EM
- D. Neil: Sensory Fusion with event-based DBNs
- P. Kassrain Fard: Generative Models of Axonal Growth
- J. Soldado Magraner: Integration of evidence in recurrent neural networks
- D. Neil: Online learning in event-based Restricted Boltzmann Machines
- S. Soldado Magraner: Acquisition of the firing properties of cortical inhibitory neurons
- H. Montanaro: Event-based shape recognition
- S. Hovsepyan: Analysis of neuronal dynamics in a canonical microcircuit of mouse A1
- S. Jativa: Deep neural network models for spatio-temporal pattern recognition
- D. Ponce Morado: DNN-based phoneme models for speech recognition
- M. Unternährer: Batch-normalization for Deep Neural Networks
- R. Krause: Attention-enforcing Deep Autoencoders
- I. Lungu: Deep Spiking Networks for Face Detection
- N. Eckstein: Deep Learning Algorithms with Memory Capabilities
- Y. Hu: DVS Datasets for Object Tracking and Action Recognition
- J. Schaffner: Recurrent neural network models of gene-regulatory networks
- N. Nikolov: Abstractive Text Summarization for Scientific Articles
Last changed: 23 August 2016