Computational Neuroscience

We use computational models as detailed, experimentally falsifiable hypotheses of physiological function. Our published models include studies of ion channels, single-neuron computation, self-organization in neural networks, and glial calcium transients.

Relevant Publications

Melonakos ED, White JA, Fernandez FR (2019) A model of cholinergic suppression of hippocampal ripples through disruption of balanced excitation/inhibition. Hippocampus 29:773-786.

Taheri M, Handy G, Borisyuk A, White JA (2017) Diversity of evoked astrocyte Ca2+ dynamics quantified through experimental measurements and mathematical modeling. Frontiers in Systems Neuroscience11: 79.

Tikidji-Hamburyan RA*, Martinez JJ*, White JA†, and Canavier CC† (2015) Resonant interneurons can increase robustness of gamma oscillations. Journal of Neuroscience 35: 15682-95. (*: co-first authors; †: co-senior authors).

Faisal AA, White JA, and Laughlin SB (2005) Ion-channel noise places limits on the miniaturization of the brain’s wiring. Current Biology 15: 1143-1149.

Rotstein HG, Gillies MJ, Acker CD, White JA, Buhl EH, Whittington MA, and Kopell N (2005) Slow and fast inhibition and an h-current interact to create a theta rhythm in a model CA1 interneuron network. Journal of Neurophysiology 94: 1509-1518.

White JA, Rubinstein JT, and Kay AR (2000) Channel noise in neurons. Trends in Neurosciences 23: 131-137.