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Nr. Titel Autor Jahr
1 Performance of biologically grounded models of the early visual system on standard object recognition tasks Teichmann, Michael et al. 2019
2 A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement Larisch, René* et al. 2018
3 A plastic multilayer network of the early visual system inspired by the neocortical circuit Teichmann, Michael 2018
4 Specific connectivity in a model of V1 and V2 combining synaptic, intrinsic, and structural plasticity Teichmann, Michael et al. 2018
5 Voltage-based STDP and inhibitory plasticity cooperate to improve stimulus coding in a model of V1 simple-cells Larisch, René et al. 2018
6 Learning Stable Recurrent Excitation in Simulated Biological Neural Networks Teichmann, Michael* et al. 2017
7 Biologically plausible Hebbian learning in deep neural networks: being more close to the nature than CNNs Teichmann, Michael* et al. 2016
8 Combination of voltage­-based STDP with symmetric iSTDP to learn V1 simple­-cells Larisch, René et al. 2016
9 Spatial Synaptic Growth and Removal for Learning Individual Receptive Field Structures Teichmann, Michael* et al. 2016
10 A computational model of the perisaccadic updating of spatial attention Teichmann, Michael et al. 2015
11 A computational model of the perisaccadic updating of spatial attention Schuster, Julia et al. 2015
12 A Recurrent Multilayer Model with Hebbian Learning and Intrinsic Plasticity Leads to Invariant Object Recognition and Biologically Plausible Receptive Fields Teichmann, Michael et al. 2015
13 Competition improves robustness against loss of information Kermani, Kolankeh Arash et al. 2015
14 Human Capacities for Emotion Recognition and their Implications for Computer Vision Liebold, Benny et al. 2015
15 Intrinsic Plasticity: A Simple Mechanism to Stabilize Hebbian Learning in Multilayer Neural Networks Teichmann, Michael et al. 2015
16 Role of Competition in Robustness under Loss of Information in Feature Detectors Kermani, Kolankeh Arash et al. 2014
17 A Single Learning Rule can Account for the Development of Simple and Complex Cells Teichmann, Michael et al. 2013
18 Interdisziplinäre Impulse für den Begriff "Interaktion" Bischof, Andreas et al. 2013
19 Unsupervised neural learning improves image classification under occlussion Kermani Kolankeh, Arash et al. 2013
20 What are the Benefits of Structural Plasticity in a Model of the Primary Visual Cortex? Teichmann, Michael et al. 2013
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