Models that contain the Model Concept : Rate-coding model neurons

(In these mathematical models, the neurons contain a state variable which represent the frequencies at which the neurons are firing.)
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    Models
1. A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
2. A dynamical model of the basal ganglia (Leblois et al 2006)
3. A theory of ongoing activity in V1 (Goldberg et al 2004)
4. Alternative time representation in dopamine models (Rivest et al. 2009)
5. Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)
6. Cat auditory nerve model (Zilany and Bruce 2006, 2007)
7. Cerebellar nuclear neuron (Sudhakar et al., 2015)
8. Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010)
9. Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
10. Comparison of full and reduced globus pallidus models (Hendrickson 2010)
11. Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
12. Development of modular activity of grid cells (Urdapilleta et al 2017)
13. Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
14. Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
15. Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
16. Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
17. Grid cells from place cells (Castro & Aguiar, 2014)
18. LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
19. Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
20. Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
21. Neuronal population models of intracerebral EEG (Wendling et al. 2005)
22. Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
23. Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013)
24. Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
25. Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
26. Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
27. Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
28. Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
29. Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008)
30. Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
31. Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)

Re-display model names with descriptions