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Binocular RivalryCOG160/272, Spring 20101What is Binocular Rivalry?shown a different When each eye is between them image,percept oscillatestypically after lengthy exposure to xed stimulitimescale and spatial extent of rivalry depend onstimulus ch

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Population coding in somatosensorycortexRasmus S Petersen*, Stefano Panzeri and Mathew E Diamond*Presenter: Crane Huang05/20/2010IntroductionA fundamental challenge in neurobiology is todiscover the essential differences in the neuralrepresentatio

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Choosing the Greater of Two Goods:Neural Currencies for Valuation and Decision MakingLeo P. Surgre, Gres S. Corrado and William T. NewsomePresenter: He Crane Huang04/20/2010Outline Studies on neural correlates of simple perceptualdecisions Interac

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Banburismus and the Brain: DecodingReview the Relationship between SensoryStimuli, Decisions, and RewardJoshua I. Gold and Michael N. ShadlenPresenter: He Huang04/22/2010OutlineTurings theoretical framework and BanburismusApplication to 2AFC decis

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Attention improves performance primarily by reducinginterneuronal correlationsMarlene R Cohen & John H R MaunsellVisual attention can improve behavioral performance by allowing observers to focus on the important information in a complexscene. Attenti

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Does the brain compute confidence estimates about decisions?EXPERIMENT SETTING AND BEHAVIORAL DATA-Two choice odor mixturecategorization- Randomized delays:between entering the odorport and odor delivery;and between entering thechoice port and rew

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceSpring, 2010http: www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs160_sp10/cogs160_272.htmlTodayGrading (Cogs 160)Academ

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 1, 2010http: www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs160_sp10/cogs160_272.htmlGradingParticipation (reading

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 6, 2010Week 1: Writing Assignment4/6/10 2:46 PMWeek 1: Writing AssignmentAnswer one of the following ques

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 13, 2010Cogs 160/2724/13/10 1:25 PMWeek 2: Writing AssignmentAnswer one of the following questions based

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 20, 2010Week 3: Writing Assignment4/20/10 2:42 PMWeek 3: Writing AssignmentAnswer one of the following qu

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Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 27, 2010Sound Transduction in the EarDemoTonotopic Mapping in the Cochlea

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Embodiment illusions viamultisensory integrationCOGS160: sensory systems and neural codingpresenter: Pradeep Shenoy1The illusory handBotvinnik, Science 200422This hand is my handi An illusion of ownershiptonduced by handsynchronous touches vis

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Reliability and Representational Bandwidthin the Auditory CortexM. DeWeese, T. Hromadka, A. Zadorpresenter: Pradeep ShenoyOverview Cortex has far more neurons than sensoryorgans16k hair cells vs 160M neurons in A1cortical neurons are noisyperform

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HOW LINEAR ARE AUDITORYCORTICAL RESPONSES?M. Sahani & J. F. LindenPresented by Tomoki TsuchidaCOGS 272April 29, 2010AGENDABackgroundSpectrotemporal Receptive Field (STRF)Problems with coefficient of determinationSignal Power AnalysisEvaluating

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For instance, on the planet Earth, man hadalways assumed that he was moreintelligent than dolphins because he hadachieved so much - the wheel, New York,wars and so on - whilst all the dolphins hadever done was muck about in the waterhaving a good ti

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1Agenda! Efficient Coding Hypothesis! Response Function and Optimal Stimulus Ensemble! Firing-Rate Code! Spike-Timing Code! OSE vs Natural Stimuli! Conclusion2Efficient Coding Hypothesis! [Sensory systems] recode sensory messages, extractingsig

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Authors:PeterW.Battaglia,RobertA.Jacobs,andRichardN.AslinCOGS272,Spring2010Instructor:Prof.AngelaYuPresenter:VikramGuptaIntroductionBackgroundMethodsProcedureResultsDiscussionIntegrationofmultiplesensoryandmotorsignals Sensory:binauraltime,phas

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Neural codes for perceptual discriminationin primary somatosensory cortexAuthors:Rogelio Luna, Adrian Hernandez, Carlos D Brody & Ranulfo RomoCOGS 160: Neural Coding in Sensory SystemsInstructor: Prof. Angela YuPresenter: Vikram GuptaDate: 05/20/10

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Efficient Coding of NaturalSoundsMichael S. LewickiEfficient Coding"The hypothesis is that sensory relays recode sensorymessages so that their redundancy is reduced butcomparatively little information is lost"- H. B. BarlowExploit statistical regu

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Multisensory InterplayJon Driver and Toemme NoesseltSensory ResearchSensory ResearchBehavioral Consequences ofMultimodalityJoint estimates of single propertySpatial VentriloquismAuditory DrivingMcGurk EffectCan modalities affect each otherwitho

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Neural Basis of theVentriloquist IllusionBonath, Noesselt, Martinez, Mishra,Schwiecker, Heinze, and HillyardInvestigating the Ventriloquist IllusionBehavioral responsesEEGfMRIElectroEncephaloGraphy (EEG)Neurons use electrical potentials to commun

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AnticoagulationDavid S. Adler , Pharm.D.Professor of Clinical PharmacyUniversity of CaliforniaUCSD Skaggs School of Pharmacy andPharmaceutical SciencesObjectivesThe goal of this session is to discuss the pharmacological principles oftreatment and

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GscAMPGicAMP,K+channelsGq 2+][CaGo 2+channelsCaThoracolumbar(T1L3)Craniosacral(CNIII,VII,IX,X&S2S4)SNSSomasofefferentneurons(Pregang)=IML(somatotopic)*MultipleNervesinnerv.Peripheralganglia(ExtensiveBranching)PostGang.Soma=PARAvertebralGang

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OESSReview:IntrotoANSPharmacologyOctober12,2010Afewrulesofthumbregardingtheperipheralnervoussystem:1. Norepinephrine/Epineprhineactsonadrenergicreceptors(onlyassociatedwiththesympatheticnervoussystem)2. Thealpha1receptorisonlyfoundonsmoothmuscle,andi

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Nora Laiken, PhDDirector, Cardiovascular System 1Cardiovascular System 1 Fall 2010DayWeek 1TuesOct 12Time8:00-9:5010:00-11:50Topic and FormatIntroduction to Autonomic Pharmacology: The Anatomy and Physiology of theAutonomic Nervous SystemFacu

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Cardiovascular System 1Core EquationsFall 2010Nora Laiken, PhDCORE EQUATIONS IN THE CARDIOVASCULAR SYSTEM 1 BLOCK1, 2LectureDrug-Receptor InteractionsConcepts in ClinicalPharmacologyEquationFractional saturation = [D] / cfw_[R] + [DR]CommentsT

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Autonomic Nervous System10-12-2010Nervous SystemBrain*cerebralhemisphere*brain stem*cerebellumPNSSpinal Cord*cervical*thoracic*lumbar*sacralCranialNervesCN1-12to/frombrainstem(3,7,9,10)Afferent(sensory)Spinal Nerves*C1-8*T1-12*L1-

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ClassTypesDrugsEffectsNotesInhibitexocytosis ofAChToxin(Clostridiumbotulinum)BotulinumToxin (BTX)Uses: @ NMJ: Inhibits vesicleStrabismusfusion &(crossed eyes), release atBlepharospasm cholinergic(spasms ofnerve terminaleyelid), Glabell

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USAN STEM LISTSTEM-abineDEFINITION(see -arabine, -citabine)EXAMPLES-acanti-inflammatory agents (acetic acid derivatives)-acetam(see -racetam)-adol or-adol-analgesics (mixed opiate receptor agonists/antagonists)tazadolenespiradolenelevonant

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Cardiovascular System 1Drug List 2Fall 2010Nora Laiken, PhDDrug List 2a, bNitric Oxide, Peptides, Cardiovascular PharmacologyNitric OxideNOS inhibitorsL-NMMA (N-monomethyl-L-arginine)NO prodrugsnitroprussidenitroglycerinPDE5 inhibitors (afils)

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Cardiovascular System 1Drug List 1Fall 2010Nora Laiken, PhDDrug List 1a, bCholinergic Pharmacology, Adrenergic PharmacologyCholinergic PharmacologyDrugs affecting ACh synthesis, storage, and exocytosisInhibition of exocytosis of ACh: botulinum tox

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Cardiovascular System 1Drug List 1Fall 2010Nora Laiken, PhDDrug List 1a, bCholinergic Pharmacology, Adrenergic PharmacologyCholinergic PharmacologyDrugs affecting ACh synthesis, storage, and exocytosisInhibition of exocytosis of ACh: botulinum tox

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Systematic In terpretation of the 12-lead ECGA. Analysis of Basic Parameters1. Rate and Rhythma. Normal P waves (lead I I) followed by QRS?b. Regular Rate?Estimate: Find peak that lines up with thick line and count 300-150-100-75-6050Exact calc: HR

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Lecture 02 - Principles of PharmacologyWhat is pharmacology?Why are drugs important for human health? The search for magic bulletsagents that treat disease Pharmacology (from pharmakon, the Greek wordor produce desirable effects but lack harm and way

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o You have the drug coming together and getL ecture 03 - Drug Receptor Interactionsa response-o The drug concentrations at which effect orGoal: To understand dose-response relationshipsand how these are affected by antagonistso-receptor occupancy

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o Only accessible when drug is theLecture 04 Pharmacokineticsp lasma (the only measurement wehave to get the [drug])Medical Errors-The Institute of Medicine of the NationalAcademy of Sciences in the study, To Er rI s Human found that medical error

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Lecture 05 Cholinergic Pharmacology-Sites of cholinergic neurotransmission in the ANS- NT and Receptors in the ANSTwo sites: synthesis and storageo Taken into the nerve by Na+ dependenttransporterACh synthesis and storage- ACh synthesis is regulat

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Director LEARNING OBJECTIVESVocabularyTyrosineDOPADopamine (DA)Norepinephrine (NE)Epinephrine (Epi)Synthetic and degradative enzymes for catecholaminesNET, ENTVMAT2b agonists and antagonistsa agonists and antagonistsCocaineAmphetamineTyramin

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L ecture 08 - Ventricular FunctionCardiac Output Cardiac Output (CO) = Heart Rate x Stroke Volume Normal CO (in man): Rest= 6.0 L/min +/- 1.3 Exercise - Can increase C.O. 400% (4-fold) Normalize CO to Metabolic Rate Normalize to compare people with

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Lecture 09 - ION CHANNELS ANDELECTROPHYSIOLOGY1. Electrical signaling in excitable cells(neurons, muscles, some endocrine cells)(A409-410, Slide 5 =Fig. 12-31).---2.Very cell has a membrane and has potentialacross itBut only endocrine cells are

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Lecture 10 - Cardiac ElectrophysiologyLecture OutlineI. Introduction (1-2)A. Normal sequence of electrical activationB. Electrophysiological categories of cardiac cellsII. Cardiac action potentials (APs) (3-9,16)A. APs in fast fibers: fast response

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GoalsTo understand the electrical excitation of the heartTo acquire the background necessary for understanding electrocardiography, cardiac arrhythmias, and theantiarrhythmic drugsLearning Objectives1. Describe the normal sequence of electrical activ

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L ecture 11 EC CouplingThe electrical excitation of the heart triggers the mechanicalcontractionElectrifying the pump- Electricians - >Plumbers- EKG, Arrhythmias, ion channels - perfusion &pumping, heart attacks, heart failure, sarcomere (Ca++in th

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11. Nozaki,K., M. A. Moskowitz,K. I. Maynard, N. Koketsu,T. M. Dawson,D. S.Bredt, and S. H. Snyder.Possibleoriginsand distributionof immunoreactivenitricoxide synthase-containingnerve fibers incerebralarteries.J. Cereb. Blood Flowin rat va

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Mitral valve stenosis results from a narrowing of the mitral valve orifice when the valveis open. This results in the left atrial (LA) pressure being much greater than left ventricular (LV)pressure during diastolic filling (shaded gray in figure). The h

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MAPbSBPaortic closes43 aortic opensisovolrelaxDBPSVLVPisovol. contxnEDP2 mitral closes14-1-2 = Diastole2-3-4 = Systole1 = mitral valve opens1-a = passive ventricular fillingmitral valve openaortic closedno inc in Pva-2 = atrial contra

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1 of 20A drug that inhibits the VMAT transporter is likely to cause:A. Hyperhidrosis (excessive sweating)B. Increased epinephrine secretionC. Increased heart rateD. Postural hypotensionE. Pupillary dilationQuestion2 of 20A 35-year-old male with a

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1 of 16In a short segment of an artery, the lumen is narrowed duet o atherosclerosis, reducing the diameter from 1 cm(proximal to the narrowed segment) to 0.5 cm (within then arrowed segment). I f the velocity of f low proximal to then arrowed segmen

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1 of 16In a short segment of an artery, the lumen is narrowed due toatherosclerosis, reducing the diameter from 1 cm (proximal tothe narrowed segment) to 0.5 cm (within the narrowedsegment). If the velocity of flow proximal to the narrowedsegment is

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Question1 of 18The diagram above shows diastolic pressure-volume relationships for the left ventricle from three patients(X, Y, and Z), all of whom have the same cardiac output and heart rate. The black circle on each curverepresents that patients end

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1 of 18The diagram above shows diastolic pressure-volume relationships for the left ventricle from three patients (X, Y, and Z),all of whom have the same cardiac output and heart rate. The black circle on each curve represents that patients enddiastolic

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Cardiovascular System 1Quiz AnswersFall 2010Quiz 4 Questions 7-9Explanations of the Answers7.Drug W markedly increases the diastolic pressure (DP), increases the pulse pressure(PP), and decreases the HR. Looking at just the DP and HR effects, only

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ReceptorAlpha1(NE)G proteinLocationeffectAgonistsantagonistGqIP3/CaSmooth muscle(constriction)VasculatureEye: radial dilator muscleSphincters of GI andbladderpilomotorExcitatory/contractionVasoconstriction (BP)Myadriasis (dilation)De

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