AdvancedCompNeuro

Advanced Computational Neuroscience

Spring 2019

Projects I

Kaplan & Glass (2006)
Manor et al. (1999)
Marder & Bucher (2001)
Marder & Calabrese (1996)
Marder & Goaillard (2006)
Prinz et al. (2004)
Golowasch et al. (2016)
Skinner et al. (1994)
Somers & Kopell (1993)
Terman et al. (1998)
Wang & Rinzel (1992)

Whittington et al. (2000)
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Class distribution

Projects II

Chapters from "Neuronal Dynamics: From single neurons to networks and models of cognition", W. Gerstner, W. M. Kistler, R. Naud and L. Paninski.
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Variability of spike trains and neural codes (primarily 7.6)
Estimating models
Competing populations and decision making.
Memory and attractor dynamics
Cortical field models for perception
Synaptic plasticity and learning
Dynamics in plastic networks

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Class distribution

Projects III

Orban et al. (2006)
Rotstein et al. (2006)
Bezaire et al. (2016)
Tort et al. (2007)
Brunel & Wang (2003)
Geisler (2005)
Tikidjihamburyan et al (2015)
Cutsuridis & Taxidis (2013)
Taxidis et al (2012)
McCarthy et al (2011)
David et al. (2015)
Borgers & Kopell (2005)
Borgers et al. (2007)
Borgers (2018), Chapter 30
Borgers (2018), Chapter 31
Borgers (2018), Chapter 32
Borgers (2018), Chapter 33
Borgers (2018), Chapter 34
Brunel (2000)
Brunel & Hakim (2008)
Brunel & Hakim (1999)
Borgers et al. (2012)

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Class distribution

Codes

Integrate-and-fire
Spike train analysis sample code

References

Dayan & Abbott (2001, Ch1)