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Neural activities of monkey primary visual cortex: Contextual modulation and roles for initiation of saccadic eye movements : 원숭이 1차시각피질의 신경활동: 맥락에 따른 활동수준조절과 안구운동 발생에서의 역할
DC Field | Value | Language |
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dc.contributor.advisor | 이춘길 | - |
dc.contributor.author | 김가연 | - |
dc.date.accessioned | 2017-07-13T16:58:57Z | - |
dc.date.available | 2017-07-13T16:58:57Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.other | 000000053243 | - |
dc.identifier.uri | https://hdl.handle.net/10371/120427 | - |
dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 심리학과 생물심리전공, 2015. 8. 이춘길. | - |
dc.description.abstract | In central visual system, primary visual cortex (V1) has been widely studied for visual information processes (Nassi & Callaway, 2009). One of the important issues in the processes within V1 is that the neural activities are highly context-dependent. In fact, we perceive and recognize one thing differently depending on the backgrounds of the scene itself or the level of attention on the object (Baluch & Itti, 2011 | - |
dc.description.abstract | Todorovi?, 2010). Upon the issue, one big question remains | - |
dc.description.abstract | how would neurons in V1 deal with context dependency? It sounds simple, but investigating such processes comes along with a complexity and concerns in between internally ongoing states of physical system and externally stimulating assets of information.
In order to answer parts of the big question above, I have done three independent studies with a specific question for each study regarding dynamics of V1 activity starting from low-level to high-level context dependent processes. Those questions include | - |
dc.description.abstract | 1) How V1 activities are modulated between stimuli that are separated in space and time domains and what is the underlying mechanism of the modulation? 2) As being a brain region where given visual information is primarily reached, would the activity modulation in V1 show as much change along the dynamics in behavioral outcome? 3) Although primarily sensory, how would high-level context, especially expecting the time of upcoming stimulus modulate V1 activities?
Throughout the studies in this thesis, it involved intensive analysis and interpretation from the results using two different signals, which are spike activity and local field potential (LFP). The signals may reflect different cortical processes, yet, may compensate to one another and provide essential evidence in information extraction (Quiroga & Panzeri, 2009). Other than those questions literally asked about V1 processes on contextual dependency and dynamic interaction, investigating the relationship between two different neural signals was another issue, which eventually showed complimentary effects of signal prediction from one another and showed some evidence in neural oscillations from LFP may indicate significance of its role in sensory selection (Schroeder & Lakatos, 2009). Purposely, those pieces of evidence in each study would provide important insights in neural mechanisms for various modulatory effects in visual processing and its relation to behavior as referred by saccadic eye movement. | - |
dc.description.tableofcontents | Purpose of the study 1
Chapter 1. Specificity of surround interaction with subthreshold LFP 3 Introduction 3 Methods 6 1. Experimental procedures 6 1.1 Subject preparation 6 1.2 Microelectrode loading & data acquisition 7 1.3 Calibration of eye position 9 1.4 Receptive field mapping 10 1.5 Main experiment task (behavioral paradigm) 13 2. Experimental setup 15 2.1 Eye movement recording 15 2.2 Stimulus generation 16 3. Data analysis 17 3.1 Spike extraction 17 3.2 Spike sorting (classification) 19 3.3 Spike density function 20 3.4 Retinotopic map and cortical magnification factor 21 3.5 Data validity evaluation 21 3.6 Calssify using support vector machine (SVM) 22 3.7 Quantification of local field potential 24 3.7.1 Power spectrum 25 3.7.2 Root mean square (RMS) magnitude 25 3.7.3 Estimation and division of recording depth 27 3.7.4 Signal latency 28 3.7.5 Correlation between spike and LFP modulation 29 Results 30 1. Data summry 30 2. Properties of subthreshold local field potential 31 3. Signal characteristic 35 3.1 Classification of LFP 35 4. Subthreshold LFP and modulation of spike response 37 5. Correlation between LFP and spike activity 42 5.1 Correlation of spike and LFP modulation magnitude 42 5.1.1 Support vector machine (SVM) 43 5.1.2 Depth division of recording sites 45 5.1.3 Comparison within SOA conditions 49 5.1.4 Spike and LFP modulation of each subject 51 5.2 Timecourse of correlation coefficient 52 6. Control of eye position 56 Conclusion & Discussion 58 1. Propagation of subthreshold LFP (sLFP) 58 2. Interaction between sLFP and response to RF stimulus 62 Chapter 2. Changes in the activity of V1 neurons with the gap effect 68 Introduction 68 Methods 71 1. Gap paradigm 72 2. Data analysis 74 2.1 Saccade latency analysis 73 2.2 Neural latency analysis 75 2.3 Invalid trials 76 2.4 Separation of express and regular latency saccades 76 2.4.1 Least square using two-termed Gaussian model 76 2.4.2 Population distribution based separation 78 2.4.3 Individual session based separation 79 2.5 Statistical test of difference in spike density 80 2.6 LFP power analysis 81 2.7 Evaluation of eye stability 81 Results 84 1. Data summary 84 2. The effect of gap on behavior 84 3. The effect of gap on physiology 86 4. Trial-to-trial correlation 89 4.1 Reaction time and NL vs. FR 89 4.2 Comparison between subjects 91 4.3 Comparison between express and regular trials 92 5. V1 activity difference between express and regular saccades 94 6. V1 activity during pre-stimulus period 98 6.1 Oscillatory cortical potential during pre-stimulus period 98 6.2 Spike density difference during pre-stimulus period 100 6.3 LFP power difference during pre-stimulus period 101 6.4 Possible effect from fixation attainment 102 6.5 LFP power difference during pre-target period between subjects 105 7. Baseline LFP power vs. saccadic latency correlation 106 7.1 Correlation of LFP power and all saccadic latency conditions 106 7.2 RF site vs. RT opposite site 107 8. Effect of trial history 109 9. Trial auto-covariation 111 10. Eye stability during express vs. regular saccades 114 Conclusion & Discussion 116 1. Gap effects in V1 116 2. Pre-target spike activity 118 Chapter 3. Temporal expectation in V1 during visually guided saccades 121 Introduction 121 Methods 123 1. Behavioral paradigm 123 1.1 Genearation of low expectation condition trials 124 2. Data analysis 125 2.1 Definition of temporal contrast 126 Results 127 1. Data summary 127 2. Temporal expectation effect on behavior 127 2.1 Example of a training session 127 2.2 Expectation effect on behavior 129 3. Temporal expectation effect on physiology 132 3.1 Representative cell activity 132 3.1.1 Representative cell activity | - |
dc.description.tableofcontents | contralateral to the target 132
3.1.2 Representative cell activity | - |
dc.description.tableofcontents | ipsilateral to the target 133
3.2 Population summary 135 4. Detection facilitation occurs in temporal expectation 137 Conclusion & Discussion 139 1. Possible role of suppression during pre-target period 139 1.1 Suppression as a top-down contextual gating 140 1.2 Suppression on both hemispheres 141 Implications of the studies 142 References 144 Acknowledgement 162 Abstract in Korean 163 | - |
dc.format | application/pdf | - |
dc.format.extent | 3754463 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | visual cortex | - |
dc.subject | local field potential | - |
dc.subject | single-cell recording | - |
dc.subject | saccadic eye movement | - |
dc.subject | response time | - |
dc.subject | spontaneous variability | - |
dc.subject.ddc | 150 | - |
dc.title | Neural activities of monkey primary visual cortex: Contextual modulation and roles for initiation of saccadic eye movements | - |
dc.title.alternative | 원숭이 1차시각피질의 신경활동: 맥락에 따른 활동수준조절과 안구운동 발생에서의 역할 | - |
dc.type | Thesis | - |
dc.description.degree | Doctor | - |
dc.citation.pages | 163 | - |
dc.contributor.affiliation | 사회과학대학 심리학과 | - |
dc.date.awarded | 2015-08 | - |
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