The Basal Ganglia for Cognitive Scientists
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Transcript of The Basal Ganglia for Cognitive Scientists
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Basal Ganglia for CognitiveScientists
The primate basal ganglia: parallel andintegrative networks
(Haber, 2003)
Dopamine, Learning, and Production Rules:
The Basal Ganglia and the Flexible Control ofInformation Transfer in the Brain
(Stocco, Lebier & Anderson, 2009)
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Parallel versus integrative networks
Cognitive function of the basal ganglia
Routing model of the basal ganglia
Routing and production rules
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Basal Ganglia: anatomy
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Basal Ganglia: anatomy
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Basal Ganglia: circuitry
Input
Striatum
Caudate
Putamen Subthalamic nucleus
Output (via the thalamus)
Globus Pallidus internal segment (GPi) Substantia Nigra pars reticulata (SNr)
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Basal Ganglia: circuitry
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Topographical connections
Direct and indirect pathways
The role of dopamine
Parallel versus integrative networks
Cognitive function of the basal ganglia Routing model of the basal ganglia
Comparison and implications of the model
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Topographical connections
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Direct & indirect pathways
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Role of dopamine
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Parallel versus integrative networks
Parallel vs integrative networks
Integrative networks
Two types of integrative circuits
Cognitive function of the basal ganglia Routing model of the basal ganglia
Comparison and implications of the model
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Parallel vs integrative networks
Topographical connections suggest parallelprocessing of cortical information
BG are critical in mediating learning process byreinforcing new behavioral-guiding rules
Parallel processing does not explain learningand adaptability necessary in goal-directedbehavior
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Parallel vs integrative networks
1. Dendrites and axons crossing functionalboundaries
2. Convergence of terminals from functionallyadjacent fields onto progressively smaller BGstructures
3. Non-reciprocal connections betweenstructures that direct the 'flow of informationthrough the functional circuits
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Two types of integrative circuits
A striato-nigro-striatal network governed bydopamine from the SNr neurons in the midbrain
A thalamo-cortico-thalamic interface with anactive role for the thalamo-cortical connections
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Striato-nigro-striatal circuit
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Thalamo-cortico-thalamic circuit
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Nice, but where does cognition comes in?
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Parallel versus integrative networks
Cognitive function of the basal ganglia
Routing model of the basal ganglia
Comparison and implications of the model
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Topographical connections revisited
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BG and the procedural module
ACT-R claims a functional correspondencebetween the procedural module and theactivity of the basal ganglia
The procedural module executes operations inthe form ofconditionaction rules
A rule responds to specific contents of modulebuffers corresponding to representations held inthe cortex
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Parallel versus integrative networks
Cognitive function of the basal ganglia
Routing model of the basal ganglia
Comparison and implications of the model
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Routing model of the BG
Actions performed by the basal ganglia can bethought of as routing operations
Routing operations define which signals aretransferred between source regions to targetregions in the cortex
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Routing model of the BG
Striatal neurons:
SN: striatonigral
direct pathway
represent source SP: striatopallidal
indirect pathway
represent non-targets
IN: interneurons
inhibit SN and SP
implement rules
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Interneurons implement rules
A rule is embedded in the incoming andoutgoing synapses of interneurons
Condition part of the rule are incoming
synapses encoding the cortical representationthat will trigger the neuron to fire
The action is encoded in the outgoing synapsesand activating SN or SP neurons
SN and SP neuron activation triggers thetransmission of information from the sourceregion of the cortex to the target region.
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Interneurons implement rules
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BG for Cognitive Scientists
Anatomy and circuitry
Circuitry highlights
Parallel versus integrative networks
Cognitive function of the basal ganglia
Routing model of the basal ganglia
Comparison and implications of the model
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Topographical connections revisited
SN and SP are large sets of neurons with aratio of 1:10 to the represented neurons in thecortex
Both, cortical regions and theirprojections toother regions are encoded using these neurons
Apart from the compression theserepresentations remain stable through the
subsequent nuclei in the basal ganglia So these are parallel networks
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Direct & indirect pathways revisited
Input from indirect pathway is delayed withrespect to that from the direct pathway
Delay can be used as a memory for theprevious state
The SNr / GPi can compare the current
source regions with the previous destinationregions
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Role of dopamine revisited
When a region belongs to both, current sourceand previous destination, dopamine neurons inthe SN receive an extra boost of activation
These neurons project to the stratium In the stratium the extra dopamine modifies
the activation ofSN and SP projection neuronsand the interneurons
Thereby a compressed copy of the corticalrepresentation gets stored as constants in anencoded rule
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Routing model of the BG
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Production compilation in ACT-R
Merging two condition-action rules that fireconsecutively into a single-step rule
This will happen when an action from the first
rule suffices as a condition for the second one Actions of both rules will be encoded as the
result of the first and an assumed condition(constant)
This implements skill acquisition includingcognitive and motor skills
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Habbit Learning
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Habbit Learning
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Haber (2003) revisited
Output nuclei (SNr and GPi) project back tothe cortex through the thalamus
The router model does that by changing
cortico-cortical connections This might resemble processes in the thalamo-
cortico-thalamic interface
The model implements a dopamine governedstriato-nigro-striatal network with an intrinsicreward independent from the limbic system
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Parkinson revisited
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Parkinson revisited
Parkinson disease involves death of dopamine cellsin SNr
This can be modeled by simulating damage to theseunits by:
Increasing input to SN units in the stratium
Corresponding decrease in input to PN units
The router model predicts that Parkinson Diseaseaffects skill acquisition
Dysfunction of the routing mechanism is not limited tomotor skills
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Cognitive science of the BG
Merging the routing model of the basal gangliawith ACT-R allows to model impairment of skillacquisition by cognitive diseases
Models of specific tasks predict reaction times Activation of specific ACT-R modules can be
used to model BOLD responses in fMRI
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