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brain_organs [2016/01/04 11:18] n.arakawa [Brain Organs] |
brain_organs [2021/12/11 10:36] (current) n.arakawa [References] |
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. | 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. |
=== Hippocampus === | === Hippocampus === |
The hippocampus, consisting of several sub-regions, is supposed to be responsible to the following cognitive functions among others. | The [[http://www.scholarpedia.org/article/Models_of_hippocampus|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 | * 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]]) | * Navigation (at least in rodents; see [[http://www.scholarpedia.org/article/Grid_cells|the grid cells and place cells]]) |
The basal ganglia are hypothesized to use reinforcement learning principles.\\ | The basal ganglia are hypothesized to use reinforcement learning principles.\\ |
For a computational model, see\\ | 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) | * 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) |
| * [[https://grey.colorado.edu/CompCogNeuro/index.php/CCNBook/Motor|CCNBook Motor]] ([[CCNBook-Motor summary|summary]]) |
| * [[https://grey.colorado.edu/CompCogNeuro/index.php/CCNBook/Executive|CCNBook Executive]] ([[CCNBook-Executive summary|summary]]) |
=== Amygdala === | === Amygdala === |
The amygdala is supposed to be related to affect.\\ | The amygdala is supposed to be related to affect.\\ |
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). | 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 ==== | ==== References ==== |
* [[https://grey.colorado.edu/CompCogNeuro/index.php/CCNBook/Main|The Computational Cognitive Neuroscience Book]] | * [[https://compcogneuro.org/|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]] |
| * [[List of Models]] |