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research_on_wba [2016/01/03 20:26]
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research_on_wba [2016/01/03 21:21]
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| === Two-Stream Perceptual System === | === 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). | 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 === | === 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 === | === 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 === | === Amygdala === |
| | The amygdala is supposed to be related to affect.\\ |
| | See [[http://www.scholarpedia.org/article/Amygdala|Amygdala@Scholarpedia]] for detailed explanation. |
| === 'Language Areas' === | === 'Language Areas' === |
| === References === | 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]] | * [[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://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]] | * [[http://www.reservoir-computing.org|Reservoir-Computing.org]] |