As the WBA Product specification requires a WBA model to have correspondence with actual brain organs,
this page refers to them to give an 'image' of WBA.
A WBA model would have to incorporate at least the first three components (the perceptual system, the hippocampus, and the pre-frontal-cortex-basal-ganglia-thalamus loop).
Here, it is important that a WBA model is constructed so that it can perform more than one generic class of tasks (as WBA aims for AGI).
Note that this page is under construction.
It is hypothesized that the visual and auditory systems in the brain are separated into ventral and dorsal streams.
The feature-place separation by the two streams would be related to the binding problem (at least the binding of information on perceptual features and their locations).
At least the ventral stream consists of a cascade of cortical regions, forming a 'deep' network.
A WBA model would also have to take into account the fact that the cascade is richly bi-directional with afferent and efferent connections.
The hippocampus, consisting of several sub-regions, is supposed to be responsible to the following cognitive functions among others.
As the place cells respond to places where the subject has visited, they are supposed to be related also to long-term memory.
The circuitry of the hippocampus has been well studied.
These organs, forming a circuit (loop), are supposed to be involved in (action) planning and execution.
The basal ganglia are hypothesized to use reinforcement learning principles.
For a computational model, see
The amygdala is supposed to be related to affect.
See Amygdala@Scholarpedia for detailed explanation.
If you are to make a human-level WBA model, you definitely have to take the 'language areas' into account.
Wernicke's area and Broca's area are two well known language areas, where the former is hypothesized to be involved in language comprehension and the latter speech production.
For a computational model, see
P. F. Dominey: Recurrent temporal networks and language acquisition—from corticostriatal neurophysiology to reservoir computing, Frontiers in Psychology, 4: 500 (2013).