Today's Topics

  • Networks
  • Planning for student-led sessions

But first…

  • Short answers means short sentences.
  • Be complete. Show me that you know what you're talking about.

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

Components

  • Nodes
  • Edges

Measures of

  • Size
  • Density
  • Degree (# of edges)
  • Centrality
  • Motifs
  • Path length

Types

  • Directed vs. undirected
  • Weighted vs. binarized
  • Structural (wiring), functional (activity covariance), effective (causal)

Temporal (speed) vs. spatial (wiring) constraints

Some networks in the "resting" brain

Prepping for student presentations

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

Scope of group presentations

  • Provide 2-3 background readings in advance
  • 25 min (max) presentation + 10 min discussion
  • Focused themes + integrative section
    • What have we learned/what do we know?
    • What don't we know?
    • Why are these answers important to know?
    • How does topic X relate to/inform another theme?
  • Submit slides
    • Statement about who did what

References

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