Realistic Stimulation Through Advanced Dynamic-Clamp Protocols
Traditional techniques to stimulate neurons in Neuroscience include current injection using several protocols. In most cases, although neurons are able to react to any stimulus in the physiological range, it is difficult to assess to what extent the response is a natural output to the processing of the input or just an awkward reaction to a foreign signal. In experiments that try to study the precise temporal relationships between the stimulus and the output pattern, it is crucial to use realistic stimulation protocols. Dynamic-clamp is a relatively recent method in electrophysiology to mimic the presence of ionic or synaptic conductances in a cell membrane through the injection of a controlled current waveform. Here we present a set of advanced dynamic-clamp protocols for realistic stimulation of cells that allow from the addition of single and multiple ionic or synaptic conductances, to the reconfiguration of circuits and bidirectional communication of living cells with model neurons including plasticity mechanisms.
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- 1.Robinson, H.P.C.: Kinetics of synaptic conductances in mammalian central neurons. Neurosci. Res. 16:VI (1991)Google Scholar
- 3.Sharp, A.A., O’Neal, M.B., Abbott, L.F., Marder, E.: Dynamic clamp: computer-generated conductances in real neurons. J. Neurophysiol. 69, 992–995 (1993)Google Scholar
- 4.Ma, M., Koester, J.: The role of potassium currents in frequency-dependent spike broadening in Aplysia R20 neurons: a dynamic clamp analysis. J. Neuroscience 16, 4089–4101 (1996)Google Scholar
- 9.Pinto, R.D., Varona, P., Volkovskii, A.R., Szucs, A., Abarbanel, H.D.I., Rabinovich, M.I.: Synchronous behavior of two coupled electronic neurons. Physical Review E 62(2), 2644–2656 (2000)Google Scholar
- 10.Nowotny, T., Zhigulin, V.P., Selverston, A.I., Abarbanel, H.D., Rabinovich, M.I.: Enhancement of synchronization in a hybrid neural circuit by spike-timing dependent plasticity. J. Neurosci. 23(30), 9776–9785 (2003)Google Scholar
- 11.Szucs, A., Rozsa, K.S., Salanki, J.: Presynaptic modulation of Lymnaea neurons evoked by computer-generated spike trains. Neuroreport 9(12), 2737–2742 (1998)Google Scholar
- 18.Muller, K., Nicholls, J., Stent, G.: Neurobiology of the Leech. Cold Spring Harbor Laboratory, New York (1981)Google Scholar
- 19.Hindmarsh, J.L., Rose, R.M.: A model of neuronal bursting using three coupled first order differential equations. Philos, Trans. R Soc. London B221, 87–102 (1984)Google Scholar