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research_on_wba [2016/01/03 21:21]
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-==== Researches on WBA ==== 
-Some researches conform to the specification of the [[WBA Product]] and others may be more vaguely related to the [[http://​wba-initiative.org/​en/​wba/​|the WBAI approach]].\\ 
-While the specification of the [[WBA Product]] is rather abstract, this page refers to concrete brain organs to give an '​image'​ of WBA.\\ ​ A WBA would have to incorporate at least the first three components (the perceptual system, the hippocampus,​ and the pre-frontal-cortex-basal-ganglia-thalamus loop). 
  
-Note that this page is under construction. ​ 
- 
-=== Two-Stream Perceptual System === 
-It is hypothesized that the visual and auditory systems in the brain are separated into [[https://​en.wikipedia.org/​wiki/​Two-streams_hypothesis|ventral and dorsal streams]].\\ ​ The feature-place separation by the two streams would be related to [[https://​en.wikipedia.org/​wiki/​Binding_problem|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 model also has to take into account the fact that the cascade is richly bi-directional with afferent and efferent connections. 
-=== Hippocampus === 
-The hippocampus,​ consisting of several sub-regions,​ is supposed to be responsible to the following cognitive functions among others. 
-  * Transferring mid-term memory into long-term memory 
-  * Navigation (at least in rodents; see [[http://​www.scholarpedia.org/​article/​Grid_cells|the grid cells and place cells]]) 
-As the place cells respond to the places the subject has visited, it is supposed to be related to long-term memory.\\ 
-The circuitry of the hippocampus has been well studied. 
-=== Pre-frontal Cortex, Basal Ganglia and Thalamus === 
-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\\ 
-O'​Reilly et al.: [[http://​psych.colorado.edu/​~oreilly/​papers/​OReillyFrank06_pbwm.pdf|Making Working Memory Work: A Computational Model of Learning in the Frontal Cortex and Basal Ganglia]], Neural Computation,​ 18, pp.283-328 (2006) 
-=== Amygdala === 
-The amygdala is supposed to be related to affect.\\ 
-See [[http://​www.scholarpedia.org/​article/​Amygdala|Amygdala@Scholarpedia]] for detailed explanation. 
-=== '​Language Areas' === 
-If you make a human-level WBA model, you definitely have to take the '​language areas' into account.\\ 
-[[https://​en.wikipedia.org/​wiki/​Wernicke%27s_area|Wernicke'​s area]] and [[https://​en.wikipedia.org/​wiki/​Broca%27s_area|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: [[http://​www.ncbi.nlm.nih.gov/​pmc/​articles/​PMC3733003/​|Recurrent temporal networks and language acquisition—from corticostriatal neurophysiology to reservoir computing]],​ Frontiers in Psychology, 4: 500 (2013). 
-==== References ==== 
-  * [[https://​grey.colorado.edu/​CompCogNeuro/​index.php/​CCNBook/​Main|The Computational Cognitive Neuroscience Book]] 
-  * [[http://​blog.agi.io/​2015/​12/​how-to-build-general-intelligence.html|How to build a General Intelligence:​ Circuits and Pathways]] 
-  * [[http://​www.reservoir-computing.org|Reservoir-Computing.org]]