- Networks
- Planning for student-led sessions
Resting potential ~ -70 mV
Ion | [inside] | [outside] | Conc Gradient | Equil potential | Driving force | Electrostatic gradient |
---|---|---|---|---|---|---|
\(K^+\) | ~150 mM | ~4 mM | outward | ~-90 mV | +20 mV | outward |
\(Na^+\) | ~10 mM | ~140 mM | inward | ~+55 mV | -125 mV | inward |
Group Theme | Members | Presentation Day? |
---|---|---|
Measuring brain & behavior | Kelley, Anna, Alison, Lauren, Rhea | |
Neurodegeneration & disorder | Kaitlin, Sam, Daryl, Emily | |
Development, aging, & plasticity | Liz, Michael, Lia, Chloe | |
Cognition & emotion | Austen, Brandon, Shane, Emily |
Not assigned: Natalia, Nate
Raichle, M. E. (2015). The brain’s default mode network. Annual Review of Neuroscience, 38, 433–447. https://doi.org/10.1146/annurev-neuro-071013-014030
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52(3), 1059–1069. https://doi.org/10.1016/j.neuroimage.2009.10.003
Sejnowski, T. J., Churchland, P. S., & Movshon, J. A. (2014). Putting big data to good use in neuroscience. Nat. Neurosci., 17(11), 1440–1441. https://doi.org/10.1038/nn.3839
Stiso, J., & Bassett, D. S. (2018). Spatial embedding imposes constraints on neuronal network architectures. Trends in Cognitive Sciences, 22(12), 1127–1142. https://doi.org/10.1016/j.tics.2018.09.007
Swanson, L. W., & Lichtman, J. W. (2016). From cajal to connectome and beyond. Annual Review of Neuroscience, 39, 197–216. https://doi.org/10.1146/annurev-neuro-071714-033954