Download - Justin Besant BIONB 2220 Final Project
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Learning at the Cellular Level
Justin BesantBIONB 2220Final Project
http://www.unmc.edu/physiology/Mann/mann19.html
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Goal How learning can occur at the cellular
level? How this be modeled and simulated
quickly using the Izhikevich model?
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Learning Classical Conditioning
• US, CS, UR, CR Hebbian Learning
• "When an axon of cell A is near enough to excite a cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A’s efficiency, as one of the cells firing B, is increased.” – Donald Hebb
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Long Term Potentiation
Robert C. Malenka, et al. “Long-Term Potentiation: A Decade of Progress?” Science. 285, 1870 (1999).
•Long term increase in synaptic strength (hours – weeks)•Possible cellular explanation for learning and memory•NMDAR, AMPAR, Calcium
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NMDA Receptors
Saudargiene, Ausra, et. al. “Biologically Inspired Artificial Neural Network Algorithm Which Implements Local Learning Rules.” Proceedings of the 2004 International Symposium on Circuits and Systems. 5 (2004) 389-392.
•Incorporate NMDA into the Izhikevich model•Coincidence detector• Voltage dependence of conductance
•AMPA receptors and neurotransmitters
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Calcium•3rd Izhikevich state variable•Spike-timing-dependent-plasticity
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AMPA Receptors•Dynamically change concentration
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LTP•Two ways to induce LTP• Simultaneous stimulation• Rapid and repetitive stimulation
•Example of LTP:
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Classical Conditioning
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Future Directions and Questions?
Epilepsy• “Learning gone wild?”• Kindling involves glutamate NMDA receptors