| Models |
1. |
3D model of the olfactory bulb (Migliore et al. 2014)
|
2. |
3D olfactory bulb: operators (Migliore et al, 2015)
|
3. |
Alternative time representation in dopamine models (Rivest et al. 2009)
|
4. |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
|
5. |
Coding explains development of binocular vision and its failure in Amblyopia (Eckmann et al 2020)
|
6. |
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
|
7. |
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
|
8. |
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019)
|
9. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
10. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
|
11. |
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
|
12. |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
|
13. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
14. |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
|
15. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
16. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
|