Circuits that contain the Modeling Application : MATLAB (web link to model) (Home Page)

( MATLAB integrates mathematical computing, visualization, and a powerful language to provide a flexible environment for technical computing. The open architecture makes it easy to use MATLAB and its companion products to explore data, create algorithms, and create custom tools that provide early insights and competitive advantages.)
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    Models
1. A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013)
2. A reinforcement learning example (Sutton and Barto 1998)
3. Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
4. Cat auditory nerve model (Zilany and Bruce 2006, 2007)
5. Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
6. Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016)
7. Fixed point attractor (Hasselmo et al 1995)
8. Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
9. Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
10. Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
11. Inhibitory cells enable sparse coding in V1 model (King et al. 2013)
12. Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
13. Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
14. Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
15. Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)
16. Neural model of two-interval discrimination (Machens et al 2005)
17. NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
18. Polychronization: Computation With Spikes (Izhikevich 2005)
19. Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
20. Quantitative assessment of computational models for retinotopic map formation (Hjorth et al. 2015)
21. Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)

Re-display model names with descriptions