- Neuroscience is segregated (computational, clinical, systems, cognitive)
- fMRI can integrate across dynamical systems, clinical disorders etc.
- neurobiology and non-linear dynamical systems need to talk to each other in order to make progress
- attractor landscape: set of all possible brain states
- neurobiology is complex - how can i cluster the data?
- heuristic models of the brain
- prelimbic, motor, auditory, visual
- embed the brain as a network
- you can get a long way without the cerebral cortex: sensory, cognitive, motor (plug for cerebellum!)
- we need to understand the contribution of the subcortex to cognition?
- multiple thalamic regions
- a diversity of thalamocortical interactions: specific, multi-specific, non-specific, thalamo-striatal
- many ways to carve up the thalamus
- laminar flow analysis
- time series from resting state data, turbulent or non-turbulent
- periods of time when the brain is stable, and periods of time when it is not
- any time you have many variables, you need computional models
- corticothalamic neural mass model
- great graphic of upside down brain (conceptual organization of brain) – how can we think about evolutionary old structures and the constraints they place on brain organization?