"A couple of notes for "CNS vs math modeling" discussion.
CNS is a part of classical math modeling. If you can find analytical solution, you should do this. Otherwise, if your equations are too complex and it is not possible to find…"
Postdocs are at the cross-roads of education and profession, and we face unique professional and social challenges, particularly in the current academic and economic climates. This group is intended for sharing related insights strategies & comments.See More
"First of all, sorry for my English. The languages (including my native and excepting any computer one) are not my strong point.
I think there is not battle-line between computational neuroscience(CNS) and mathematical modeling. My colleagues at the…"
"Hi Ruben, you may want to joined the nonlinear dynamics group, which I bring to your attention. I posted a comment on "computational neuroscience vs mathematical modeling" made originally by Jack Cowan. As you name both topics as your main…"
− Learning rule, spines, back propagated action potential, calcium dynamics and biochemical reactions.
− Biologically plausible models of local neural networks.
− Neuronal assembly, arising and stabilization.
− Computational neuroscience methods for studying real signal processing in the cortex and cerebellum.
− Analysis of neural network dynamics influenced by single neuron dynamical properties (afterpolarization, bursting etc.).
− Searching for clusters in the multi-dimension biologically plausible neural network.
A.B.Kogan Research Institute for Neurocybernetics,
Southern Federal University
1. Tikidji-Hamburyan R and Tikidji-Hamburyan A (2009). Calmodulin-calcium complexes
kinetics as a source of nonlinearity for calcium dependent plasticity // Frontiers in
Neuroinformatics. Conference Abstract: 2nd INCF Congress of Neuroinformatics
2. Vasilkov V, Ischenko I and Tikidji - Hamburyan R (2009). A hierarchical neural model
sensitive to interaural time differences. Frontiers in Neuroinformatics. Conference Abstract:
2nd INCF Congress of Neuroinformatics.
3. Tikidji-Hamburyan R. (2009) Nonlinear behavior of kinetics of calmodulin-calcium
complexes // BMC Neuroscience 2009, 10(Suppl 1):P223
4. Vasilkov V.A., Tikidji – Hamburyan R.A. (2009) Interaural time difference detection by the
auditory system model in the presence of phase noise // BMC Neuroscience 2009, 10(Suppl
5. L.N. Podladchikova, D.G. Shaposhnikov, A.V. Tikidgji-Hamburyan, T.I. Koltunova, R.A.
Tikidgji-Hamburyan, V.I. Gusakova, A.V. Golovan (2009) Model-Based Approach to
Study of Mechanisms of Complex Image Viewing // Optical Memory & Neural Networks
(Information Optics). v.18 No. 2, pp 114-121
6. Podladchikova L.N., Bondar G.G., Ivlev S.A., Tikidji-Hamburyan R.A., Dunin-Barkowski
W.L. (2008) Activity Dynamics of the Cerebellar Purkinje Cells at Complex Spike Duration
Change. Biophysics v.53 No. 3 - pp.488-494.
7. Tikidji – Hamburyan R., Markin S. (2008) NeuroCAD - the Modular Simulation
Environment for Effective Biologically Plausible Neuromodeling. BMC Neuroscience
2008, 9(Suppl 1):P91
8. Tikidji-Hamburyan R. (2008) Genetic Algorithm Modiﬁcation to Speed Up Parameters
Fitting of Multicompartment Neuron Model // BMC Neuroscience 2008, 9(Suppl 1):P90
9. Vasilkov V.A., Tikidji – Hamburyan R.A. (2008) Study of additional mechanism of short
time delay detection in input signal by the homological neural network. BMC Neuroscience
2008, 9(Suppl 1):P12
10. Tikidji-Hamburyan R. and Polevaya S. (2004) Sound-source localization by neural network
based on modified "Integrate-and-Fire Neuron" model with autopolarization. In:
Computational Neuroscience 2004 Abstracts Book, pp. 96.
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Hi Ruben, you may want to joined the nonlinear dynamics group, which I bring to your attention. I posted a comment on "computational neuroscience vs mathematical modeling" made originally by Jack Cowan. As you name both topics as your main areas of research, it would be interesting to know, whether you share the view of Jack Cowan.