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Nr. Titel Autor Jahr
1 Robustness of biologically grounded neural networks against image perturbations Teichmann, Michael et al. 2022
2 Achieving stable recurrent excitation by homeostatic setpoints in Hebbian synaptic plasticity Teichmann, Michael et al. 2021
3 Inhibitory plasticity - one mechanism to shape representational and metabolic efficiency Larisch, René et al. 2021
4 Performance of biologically grounded models of the early visual system on standard object recognition tasks Teichmann, Michael et al. 2021
5 Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity Larisch, René* et al. 2021
6 Building a less artificial deep neural network with biologically grounded plasticities Teichmann, Michael et al. 2020
7 Performance of biologically grounded models of the early visual system on standard object recognition tasks Teichmann, Michael et al. 2019
8 Performance of biologically grounded models of the early visual system on standard object recognition tasks Teichmann, Michael et al. 2019
9 A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement Larisch, René* et al. 2018
10 A plastic multilayer network of the early visual system inspired by the neocortical circuit Teichmann, Michael 2018
11 Specific connectivity in a model of V1 and V2 combining synaptic, intrinsic, and structural plasticity Teichmann, Michael et al. 2018
12 Voltage-based STDP and inhibitory plasticity cooperate to improve stimulus coding in a model of V1 simple-cells Larisch, René et al. 2018
13 Learning Stable Recurrent Excitation in Simulated Biological Neural Networks Teichmann, Michael* et al. 2017
14 Biologically plausible Hebbian learning in deep neural networks: being more close to the nature than CNNs Teichmann, Michael* et al. 2016
15 Combination of voltage­-based STDP with symmetric iSTDP to learn V1 simple­-cells Larisch, René et al. 2016
16 Spatial Synaptic Growth and Removal for Learning Individual Receptive Field Structures Teichmann, Michael* et al. 2016
17 A computational model of the perisaccadic updating of spatial attention Teichmann, Michael et al. 2015
18 A computational model of the perisaccadic updating of spatial attention Schuster, Julia et al. 2015
19 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
20 Competition improves robustness against loss of information Kermani, Kolankeh Arash et al. 2015
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