Erschienen: 28.02.1999 Abbildung von Ulinski | Cerebral Cortex | 1999 | Models of Cortical Circuits | 13

Ulinski

Cerebral Cortex

Models of Cortical Circuits

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

ca. 299,59 €

inkl. Mwst.

1999. Buch. xxi, 573 S. Bibliographien. Hardcover

Springer. ISBN 978-0-306-45727-2

Format (B x L): 17,8 x 25,4 cm

Gewicht: 3010 g

In englischer Sprache

Das Werk ist Teil der Reihe: Cerebral Cortex; 13

Produktbeschreibung

long-termplasticityandwithapproachestolearningandmemorybasedonmodifica­ tionofHebbiansynapsesarenotconsidered. Relativelyabstractattemptstounder­ standhigherlevelandcognitiveprocessesbasedonneuralnetsrepresentasecond, majorareaofworkthatisnottreated. Modelsofcognitiveprocessesbasedon dynamicalsystemsmethodsinwhichnoattemptismadetoincludethebiophysical featuresofindividualneuronsarealsonotconsidered. vii viii Thetenmajorchaptersfallintothreegroups. Thefirstgroupdealswith compartmentalmodelsofindividualcorticalneurons. LyleBorg-Grahamprovides PREFACE anintroductiontothemethodsinvolvedinconstructingcompartmentalmodels andthenreviewstheexistingmodelsofhippocampalpyramidalcells. Becauseof theeffectivenessofhippocampalslicepreparations,theseneuronshavewell-ehar­ acterizedbiophysicalproperties. Thischapterillustrateshowcompartmentalmod­ elscanbeusedtosynthesizeexperimentaldataandprovideanintegrativeviewof thepropertiesofindividualneurons. PaulRhodescontinuesthethemebyfocusing ontheroleofvoltage-gatedchannelslocatedonthedendritesofcorticalneurons. Thisisanareainwhichtechnologicaladvancesinthevisualizationofneuronsin slicepreparationsbasedoninfraredmicroscopyhavegreatlyexpandedtheinfor­ mationavailableondendriticfunctioninjustafewyears. Thechapterbothreviews theexperimentaldataonactivedendriticconductancesandemphasizestheirpo­ tentialfunctionalroles. Thesecondgroupofchaptersdealwiththegenerationofreceptivefield propertiesofneuronswithinvisualcortex. Theyaddressissuesstemmingfromthe originalattempttounderstandhowthereceptivefieldpropertiesofneuronsincat andmonkeyprimaryvisualcortexaregeneratedbyinteractionsbetweengenicu­ lateafferentsandcorticalneurons. ThechapterbyFlorentinWorgotterevaluates modelsthathavebeenusedtoanalyzethegenerationofreceptivefieldproperties. RodneyDouglasandhiscolleaguesaddressaspecificsetofissuesdealingwiththe roleofintracorticalexcitationmediatedbypyramidalcellcollaterals. Animportant featureofthischapterisitsrelationtoattempttoconstructfabricatedcircuitsthat duplicatethefunctionsofcorticalcircuits. ThechapterbyPhilipUlinskifocuseson thegenerationofmotion-selectivepropertiesincorticalneurons. Itseekstoidenti­ tycellularmechanismsusedbyneuronsthatrespondpreferentiallytovisualstimuli movingwithparticularspeedsordirections. MatteoCarandiniandhiscolleagues discussthefeatureofcorticalneurons,knownasgaincontrol,thatallowsneurons torespondeffectivelytovisualstimulibypoolinginformationacrosspopulationsof corticalneurons. ThechapterbyHughWilsondealswiththereceptivefieldproper­ tiesofextrastriateareasandintroducesnewworkanalyzingface-selectiveneurons. Thefinalsetofchaptersconsidermodelsofensemblesofthalamicandcortical neurons. ThechapterbyWilliamLyttonandElizabethThomasusesthetheoryof dynamicalsystemstoanalyzethetemporalrelationshipsbetweenthalamicand corticalneurons. Animportantfeatureoftheinteractionbetweenthalamusand cortexisthepresenceofoscillationsthatdependinpartuponthevoltage-gated conductancespresentonindividualneuronsandinpartonthestructureofthe overallnetwork. PaulBushcontinuesthisemphasisonoscillationsbydiscussinga modelthatdealswiththegenerationofsynchronizedoscillationsinvisualcortex. Oscillationsofthiskindhaveattractedsubstantialattentioninrecentyearsbecause oftheirpotentialroleincognitiveprocesses. Thelastchapter,byMichaelHasselmo andChristianeLinster,reviewstheirworkonmodelingpiriformcortex,emphasiz­ ingtheroleofcholinergicmechanismsinmodulatingtheactivityofcorticalneu­ rons. Anattempthasbeenmadethroughouttomakethevolumeaccessibleto readerswithminimalmathematicalbackgrounds. Thevolumethusbeginswitha shorthistoryofmodelsofcorticalneuronsandcircuitrythatintroducestheprinci­ palmodelingstyles. ThechaptersbyWorgotterandUlinskicontainmoreextensive ix introductionstosomeofthemodelingmethodsthathavebeenusedtostudyvisual cortex,andthemathematicallychallengedreaderwillfindthatthechapterby PREFACE LyttonandThomascontainsareadableintroductiontotheuseofdynamical systemstheoryinneurobiology. PhilipS. Ulinski EdwardG. Jones Chicago and Davis Contents Chapter 1 ModelingCorticalCircuitry:AHistoryandProspectus PhilipS. Ulinski 1. Introduction ". 1 2. LorentedeNothroughDynamicalSystemsModels. 2 2. 1. LorentedeNo. 2 2. 2. CellAssembliesandNeuralNets. 3 2. 3. DynamicSystemsModels. 8 3. HodgkinandHuxleythroughNetworkModels. 11 3. 1. HodgkinandHuxley. 11 3. 2. WilfridRall. 11 3. 3. SoftwarePackages. 13 3. 4. RealisticModelsofCorticalNetworks. 14 4. Prospectus. 14 5. References. 15 Chapter 2 InterpretationsofDataandMechanismsforHippocampalPyramidal CellModels LyleJ Borg-Graham 1. Introduction. 19 1. 1. NeuronModelEvolution-followingElectrophysiology. 19 1. 2. NeuronModelEvaluation-followingtheParameters. 21 1. 3. WhyHippocampus? 21 1. 4. OrganizationofThisChapter. 22 xi xii 2. TheDatabaseforSingle-NeuronModels. 23 2. 1. VoltageClampversusCurrentClamp. 23 CONTENTS 2. 2. Single-ChannelversusMacroscopicCurrents. 24 2. 3. TypeofPreparation. 24 2. 4. KineticandPharmacologicalDissection. 25 2. 5. TemperatureDependence. 26 2. 6. AgeDependence. 27 2. 7. HippocampalSubfieldDependence. 27 2. 8. DifferencesinFiringPropertiesbetweenSharpversusPatch Recordings. 28 2. 9. TheMeasuredVoltage.

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