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E-raamat: Temporal Sampling and Representation Updating

Volume editor (Senior Lecturer, Nottingham Trent University, UK)
  • Formaat: EPUB+DRM
  • Sari: Progress in Brain Research
  • Ilmumisaeg: 21-Nov-2017
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128134511
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Temporal Sampling and Representation UpdatingSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: Progress in Brain Research
  • Ilmumisaeg: 21-Nov-2017
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128134511
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Temporal Sampling and Representation Updating, Volume 236, addresses the gap between laboratory studies using static or predictable stimuli and the more complex change that is a characteristic of the real world. Topics in this new volume include a section on Unfolding the time course of emotion perception, Temporal sampling and representation updating for action in interception and grasping tasks, The influence of Cognitive Control and Attention on Temporal Sampling: Lessons from the Attentional Blink, Synchronizing tracking eye movements with the motion of a visual target, and Sampling feature distributions with visual search in heterogeneous displays.

  • Contains contributions from experts in diverse fields relating to temporal sampling and representation updating
  • Addresses the way in which we update our representations of the world when it is more unpredictable
  • Bridges the gap between laboratory studies using static or predictable stimuli and the more complex change that is a characteristic of the real world as it unfolds over time

Muu info

Addresses the way in which we update our representations of the world when it is more unpredictable
Contributors v
Preface xvii
Chapter 1 Oculomotor measures reveal the temporal dynamics of preparing for search
1(24)
Katya Olmos-Solis
Anouk M. van Loon
Sander A. Los
Christian N.L. Olivers
1 Introduction
1(3)
2 Experiment 1
4(6)
2.1 Participants
4(1)
2.2 Apparatus
4(1)
2.3 Task and procedure
5(2)
2.4 Eye movement analyses
7(1)
2.5 Results
8(2)
3 Experiment 2
10(5)
3.1 Participants
11(1)
3.2 Task and procedure
11(1)
3.3 Results
12(3)
4 General Discussion
15(10)
4.1 General Preparation for Search
16(1)
4.2 Template-Specific Preparation for Search
17(1)
4.3 Microsaccades vs Saccades
18(1)
Acknowledgements
18(1)
Appendix
19(2)
References
21(4)
Chapter 2 Attention in action and perception: Unitary or separate mechanisms of selectivity?
25(28)
James T. Enns
Allison A. Brennan
Robert L. Whitwell
1 Relations Between Attention and the Two Visual Streams
26(2)
2 Fear and Visually Guided Action
28(3)
3 Study Overview
31(3)
4 Method
34(2)
4.1 Participants
34(1)
4.2 Apparatus and Displays
34(1)
4.3 Procedure
35(1)
4.4 Data Analysis
36(1)
5 Results
36(7)
5.1 Movement Initiation Time
37(1)
5.2 Movement Time
38(1)
5.3 Pointing Accuracy
39(2)
5.4 Letter Identification in Dual Task
41(1)
5.5 Self-Reported Fear Predicted by Three Performance Measures
42(1)
6 Discussion
43(10)
6.1 Ventral--Dorsal Stream Interactions
43(3)
6.2 No Support for a Monolithic View of Selective Attention
46(1)
Acknowledgments
47(1)
Appendix
47(1)
Negative Images
47(1)
Positive Images
47(1)
References
47(5)
Further Reading
52(1)
Chapter 3 Perceptual episodes, temporal attention, and the role of cognitive control: Lessons from the attentional blink
53(22)
Guy Snir
Yaffa Yeshurun
1 The Nature of Temporal Episodes
55(4)
1.1 Order Reversals
56(2)
1.2 Binding Errors
58(1)
1.3 T1 Cost
59(1)
2 Proactive Control: Preparing for Targets
59(3)
2.1 Prior Knowledge
61(1)
2.2 Target--Distractor Similarity
62(1)
3 Reactive Control: Identifying (and Missing) Targets
62(4)
3.1 Dual Task
64(1)
3.2 Omitted Distractors
65(1)
4 Summary and Conclusions
66(9)
4.1 Temporal Episodes and the AB
66(1)
4.2 Temporal Episodes Beyond the AB
67(1)
References
68(7)
Chapter 4 Accumulating visual information for action
75(22)
Eli Brenner
Jeroen B.J. Smeets
1 Introduction
75(1)
2 The Nature of Visual Representations
76(3)
3 Updating Representations
79(4)
4 Continuous Control of Action
83(3)
5 Movement Strategies
86(3)
6 Conclusion
89(8)
References
89(8)
Chapter 5 Learning features in a complex and changing environment: A distribution-based framework for visual attention and vision in general
97(24)
Andrey Chetverikov
Gianluca Campana
Ami Kristjansson
1 Introduction
98(1)
2 What Is a "Distribution" of Features and How Is It Represented?
99(3)
3 When Are Stimuli Treated as Distributions?
102(3)
4 Sampling and Updating Information About Distribution
105(1)
5 Short-Term and Long-Term Learning of Distributions
106(3)
6 Implications for Visual Attention and Visual Search
109(3)
7 Conclusions
112(9)
Acknowledgments
113(1)
References
113(8)
Chapter 6 Fundamental computational constraints on the time course of perception and action
121(22)
Shimon Edelman
Roy Moyal
1 Motivation
122(1)
2 When and Why sample-and-hold (S/H) is Necessary
123(7)
2.1 Computational Complexity Constraints on Solutions to Perceptual Problems
124(1)
2.2 (Bayesian) Predictive Coding
125(1)
2.3 Unavailability or Inadequacy of Incremental Algorithms
126(1)
2.4 Instability of Continuous Incremental Control
127(1)
2.5 Constraints From the Spatial Spread of Brain Computation
128(2)
3 Empirical Evidence for S/H Functionality
130(5)
3.1 Attentional Blink
131(1)
3.2 Backward Masking
132(1)
3.3 Sensory Thalamocortical Pathways and the Nature of Motor Control
133(1)
3.4 Neural Oscillations
133(1)
3.5 Metastability and Itinerancy
134(1)
4 Summary and Future Work
135(8)
References
136(7)
Chapter 7 Selecting multiple features delays perception, but only when targets are horizontally arranged
143(20)
Shih-Yu Lo
1 Introduction
144(3)
1.1 Feature-Based Attention
144(1)
1.2 Horizontal--Vertical Lag Discrepancy
145(2)
1.3 Aims of This Study
147(1)
2 Experiment
147(8)
2.1 Method
147(2)
2.2 Results
149(6)
3 Discussion
155(3)
3.1 Multiple-Color Cost Conditioned on Orientation Similarity
155(1)
3.2 The Separate-Resource Hypothesis Explains the Spatial Selection Effect but Not the Feature Selection Effect
156(1)
3.3 A Two-Stage Model
156(1)
3.4 Is Feature-Similarity Gain Modulation Homogenous Across the Visual Field?
157(1)
4 Conclusion
158(5)
Acknowledgment
159(1)
Appendix
159(1)
References
160(3)
Chapter 8 The maintenance and updating of representations of no longer visible objects and their parts
163(30)
J. Daniel McCarthy
Gennady Erlikhman
Gideon Paul Caplovitz
1 Introduction
164(2)
2 Low Level: Integrating Information to Recover the Edges of Moving Objects
166(6)
3 Intermediate Level: Integrating Local Edge and Surface Information to Recover the Shape of Moving Objects
172(8)
3.1 Anorthoscopic Perception
172(3)
3.2 Spatiotemporal Form Integration and Position Updating...
175(5)
4 High Level: Maintaining and Updating Representations of Moving Objects Currently Not in View
180(3)
5 Conclusion
183(10)
References
184(9)
Chapter 9 Choosing the speed of dynamic mental simulations
193(18)
Alexis D.J. Makin
1 Introduction
193(3)
2 How Do We Update Mental Simulations at the Right Speed?
196(2)
3 Prediction Motion Tasks
198(4)
4 Unification Between Common Rate Controller and Imagery
202(1)
5 Unification Between Rate Controller and Velocity Memory
202(2)
6 Unification Between Rate Controller and Pacemaker-Accumulator Clock
204(1)
7 Rate Control in Synchronization--Continuation Paradigms
205(1)
8 Conclusion
206(5)
References
207(4)
Chapter 10 Behavioral oscillation in face priming: Prediction about face identity is updated at a theta-band rhythm
211(14)
Yuanye Wang
Huan Luo
1 Introduction
212(1)
2 Methods and Materials
213(3)
2.1 Subjects
213(1)
2.2 Stimuli
213(2)
2.3 Procedure
215(1)
2.4 Data Analysis
215(1)
3 Results
216(5)
3.1 Experiment 1: Localizing Prime-to-Probe SOA Ranges Showing an Oscillatory Priming Trend
216(2)
3.2 Experiment 2: Face Priming Temporal Profile Demonstrates a ~5 Hz Oscillatory Pattern
218(2)
3.3 Illustrative Model: Rhythmic Predictive Coding for Low-Level Features and High-Level Objects
220(1)
4 Discussion
221(4)
Acknowledgments
223(1)
References
223(2)
Chapter 11 Incorporation of prosthetic limbs into the body representation of amputees: Evidence from the crossed hands temporal order illusion
225(18)
Yuki Sato
Toshihiro Kawase
Kouji Takano
Charles Spence
Kenji Kansaku
1 Introduction
226(1)
2 Methods
227(6)
2.1 Experiment 1
227(4)
2.2 Experiment 2
231(2)
3 Results
233(4)
3.1 Experiment 1
233(1)
3.2 Experiment 2
233(4)
4 Discussion
237(6)
Acknowledgments
239(1)
References
239(4)
Chapter 12 Synchronizing the tracking eye movements with the motion of a visual target: Basic neural processes
243(26)
Laurent Goffart
Clara Bourrelly
Julie Quinet
1 Spatiotemporal "Dilution" of Visual Signals in the Brain
244(2)
2 Synchronous Population Activity Against Functional Entropy
246(3)
3 Reducing the Lag Between the Past and the Present
249(2)
4 Capturing a Moving Target Here and Now
251(3)
5 Beyond the Notion of Internal Model
254(2)
6 Learning to Track the Changing Location of a Moving Target
256(3)
7 Neural Basis of Saccadic and Pursuit Eye Movements
259(2)
8 Enlargement of the Neuronal Mass for Accurate Tracking
261(1)
9 Conclusion
262(7)
Acknowledgments
263(1)
References
263(5)
Further Reading
268(1)
Chapter 13 The temporal dynamics involved in object representation updating to predict change
269(18)
Naomi du Bois
Mark A. Elliott
1 Synchronization: Support and Controversy
270(2)
2 Support From an Oscillatory Priming Paradigm
272(6)
3 The Importance of Anticipatory Coding
278(1)
4 Synchronization of Neural Assemblies as a Temporal Code
279(3)
5 Conclusion
282(5)
References
283(2)
Further Reading
285(2)
Chapter 14 Effect of emotions on temporal attention
287(24)
Maruti V. Mishra
Sonia B. Ray
Narayanan Srinivasan
1 Introduction
287(2)
2 Emotions and AB
289(1)
2.1 Blink With Emotional T2
290(3)
2.2 Blink With Emotional T1
293(6)
2.3 Blink When Both T1 and T2 Are Emotional
296(2)
2.4 RSVP in an Emotional Context
298(1)
3 Explanations for Emotional Effects: Capacity Limitations, Attentional Set, or Perceptual Episodes?
299(3)
4 Future Scope
302(9)
References
303(8)
Index 311
Dr Christina Howard is a Senior Lecturer in Psychology at Nottingham Trent University Department of Psychology where she has held a faculty position since 2011. Prior to this, Christina completed post doctoral positions at the Universities of Birmingham, Sydney and Bristol and a PhD at Cardiff University in the area of visual cognition. Christina has Masters degrees from the University of Surrey and from Exeter College, Oxford University. Christina regularly publishes her own research in international peer reviewed journals such as Cerebral Cortex, Experimental Brain Research, Vision Research and Journal of Vision.
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