Chapter 46 Attention Copyright © 2014 Elsevier Inc. All rights reserved.

Slides:



Advertisements
Similar presentations
Attention and neglect.
Advertisements

Are We Paying Attention Yet? A review of the relation between attention and saccades By Travis McKinney.
Visual Attention Attention is the ability to select objects of interest from the surrounding environment A reliable measure of attention is eye movement.
Human (ERP and imaging) and monkey (cell recording) data together 1. Modality specific extrastriate cortex is modulated by attention (V4, IT, MT). 2. V1.
Chapter 6: Visual Attention. Overview of Questions Why do we pay attention to some parts of a scene but not to others? Do we have to pay attention to.
Covert Attention Mariel Velez What is attention? Attention is the ability to select objects of interest from the surrounding environment Involuntary.
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
Attention Wolfe et al Ch 7, Werner & Chalupa Ch 75, 78.
Consequences of Attentional Selection Single unit recordings.
Attention Modulates Responses in the Human Lateral Geniculate Nucleus Nature Neuroscience, 2002, 5(11): Presented by Juan Mo.
Chapter 50 The Prefrontal Cortex and Executive Brain Functions Copyright © 2014 Elsevier Inc. All rights reserved.
Ch. 13 A face in the crowd: which groups of neurons process face stimuli, and how do they interact? KARI L. HOFFMANN 2009/1/13 BI, Population Coding Seminar.
Visual Attention (neural mechanisms) Arash Afraz.
Volume 53, Issue 1, Pages 9-16 (January 2007)
Volume 60, Issue 4, Pages (November 2008)
Interacting Roles of Attention and Visual Salience in V4
One-Dimensional Dynamics of Attention and Decision Making in LIP
A Source for Feature-Based Attention in the Prefrontal Cortex
Ranulfo Romo, Adrián Hernández, Antonio Zainos  Neuron 
Choosing Goals, Not Rules: Deciding among Rule-Based Action Plans
Coding of the Reach Vector in Parietal Area 5d
Alteration of Visual Perception prior to Microsaccades
Volume 81, Issue 6, Pages (March 2014)
Volume 97, Issue 4, Pages e6 (February 2018)
Volume 74, Issue 5, Pages (June 2012)
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
A Role for the Superior Colliculus in Decision Criteria
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Volume 66, Issue 4, Pages (May 2010)
The Generality of Parietal Involvement in Visual Attention
Volume 95, Issue 1, Pages e3 (July 2017)
Volume 75, Issue 1, Pages (July 2012)
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Huihui Zhou, Robert Desimone  Neuron 
Directional Selectivity Is Formed at Multiple Levels by Laterally Offset Inhibition in the Rabbit Retina  Shelley I. Fried, Thomas A. Mu¨nch, Frank S.
Attention Governs Action in the Primate Frontal Eye Field
Takashi Sato, Aditya Murthy, Kirk G. Thompson, Jeffrey D. Schall 
Eye Movements Modulate Visual Receptive Fields of V4 Neurons
Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action  Paul Cisek,
Franco Pestilli, Marisa Carrasco, David J. Heeger, Justin L. Gardner 
Attention Increases Sensitivity of V4 Neurons
Independent Category and Spatial Encoding in Parietal Cortex
Katherine M. Armstrong, Jamie K. Fitzgerald, Tirin Moore  Neuron 
Moran Furman, Xiao-Jing Wang  Neuron 
Eye Movement Preparation Modulates Neuronal Responses in Area V4 When Dissociated from Attentional Demands  Nicholas A. Steinmetz, Tirin Moore  Neuron 
Redmond G. O’Connell, Michael N. Shadlen, KongFatt Wong-Lin, Simon P
Neuronal Response Gain Enhancement prior to Microsaccades
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Volume 54, Issue 2, Pages (April 2007)
Broca's Area and the Hierarchical Organization of Human Behavior
Georgia G. Gregoriou, Stephen J. Gotts, Robert Desimone  Neuron 
Franco Pestilli, Marisa Carrasco, David J. Heeger, Justin L. Gardner 
Direct Two-Dimensional Access to the Spatial Location of Covert Attention in Macaque Prefrontal Cortex  Elaine Astrand, Claire Wardak, Pierre Baraduc,
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
Volume 76, Issue 4, Pages (November 2012)
The Normalization Model of Attention
Volume 72, Issue 6, Pages (December 2011)
Vahe Poghosyan, Andreas A. Ioannides  Neuron 
Sébastien Marti, Jean-Rémi King, Stanislas Dehaene  Neuron 
Short-Term Memory for Figure-Ground Organization in the Visual Cortex
Prefrontal Neurons Coding Suppression of Specific Saccades
Jude F. Mitchell, Kristy A. Sundberg, John H. Reynolds  Neuron 
Volume 22, Issue 4, Pages (April 1999)
John T. Serences, Geoffrey M. Boynton  Neuron 
Visuomotor Origins of Covert Spatial Attention
Social Attention and the Brain
John B Reppas, W.Martin Usrey, R.Clay Reid  Neuron 
Attention, Learning, and the Value of Information
The functional architecture of attention
Richard A. Andersen, He Cui  Neuron 
Presentation transcript:

Chapter 46 Attention Copyright © 2014 Elsevier Inc. All rights reserved.

FIGURE 46.1 Lateral viewof a human brain. Frontal (purple), parietal (orange), temporal (blue), and occipital (yellow) lobes are outlined.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.2 Two drawings that were made by a patient with spatial neglect. The patient was asked to copy the two models (clock, house). In each case, the copies exclude important elements that appeared on the left side of the model, indicating that the patient was unable to process information about the left side of the model.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.3 Regions in human brain activated by attention and regions associated with neglect. (A) Visual stimulation did not activate the frontal or parietal cortex reliably when attention was directed elsewhere in the visual field. (B) When the subject directed attention to a peripheral target location and performed an object discrimination task, a distributed frontoparietal network was activated, including the SEF, the FEF, and the SPL. (C) The same network of frontal and parietal areas was activated when the subject directed attention to the peripheral target location in the expectation of the stimulus onset — in the absence of any visual input whatsoever. This activity therefore may not reflect attentional modulation of visually evoked responses, but rather attentional control operations themselves. (D) Meta-analysis of studies investigating the spatial attention network. Axial slices at different Talairach planes are indicated. Talairach (peak) coordinates of activated areas in the parietal and frontal cortex fromseveral studies are indicated (For references, see Kastner & Ungerleider, 2000). R, right hemisphere; L, left hemisphere.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.4 Directed attention in humans with and without visual stimulation. (A) Time series of fMRI signals in V4. Directing attention to a peripheral target location in the absence of visual stimulation led to an increase of baseline activity (textured blocks), which was followed by a further increase after the onset of stimuli (gray- shaded blocks). Baseline increases were found in both the striate and the extrastriate visual cortex. (B) Time series of fMRI signals in FEF. Directing attention to the peripheral target location in the absence of visual stimulation led to a stronger increase in baseline activity than in the visual cortex; the further increase of activity after the onset of stimuli was not significant. Sustained activity was seen in a distributed network of areas outside the visual cortex, including SPL, FEF, and SEF, suggesting that these areasmay provide the source for the attentional top-down signals seen in visual cortex. Adapted from Kastner et al. (1999).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.5 Attentional modulation of event related potentials (ERPs). In a typical experiment, subjects fixate a central cross and attend either to the left or right visual field. Stimuli are then presented to the left and right visual fields in a rapid sequence. This idealized example illustrated the common finding that the average ERP elicited by an attended visual field stimulus contains larger P1 and N1 components.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.6 LIP neurons encode a spatial salience representation. (A) LIP neurons are sensitive to the physical conspicuity of objects in the receptive field. An LIP neuron responds strongly when a visual stimulus is flashed in its receptive field (left). The same neuron does not respond if the physically identical stimulus is stable in the world and enters the receptive field by virtue of the monkeys’ eye movement (center). The neuron again responds if the stimulus entering the receptive field is rendered salient by flashing it on and off on each trial (before it enters the receptive field). In each panel, rasters show the times of individual action potentials relative to stimulus onset (left) or the eye movement that brings the stimulus in the receptive field (center and right). Traces underneath the rasters show average firing rate. Bottom traces show the horizontal and vertical eye position. The rapid eye movement (saccade) that brings the stimulus in the receptive field is seen as the abrupt deflection in eye position traces. (B) LIP neurons are sensitive to the behavioral relevance of objects in the receptive field. Traces show average firing rate of an LIP neuron when the monkey is cued to make a saccade to a stimulus in the receptive field. In the left panels themonkey is fixating and a stable stimulus is in the receptive field. The neuron has low firing rate. In the center panel the monkey receives a cue instructing him to make a saccade to the receptive field. The neuron gradually increases its response. In the right panel the monkey executes the instructed saccade. The neural response remains high until after the eye movement.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.7 A salience representation can be viewed as an intermediate representation that interacts with multiple behavioral systems (visual, motor, cognitive, and motivational) and fashions a unified signal of “salience” based on multiple task demands. By virtue of feedback connections to these systems the salience map can help coordinate output processing in multiple “task-relevant areas.”

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.8 (A) LIP responses are modulated by reward probability. Monkeys performed a dynamic foraging task in which they tracked the changing reward values of each of two saccade targets. Traces represent population responses for neurons with significant effects of reward probability. Blue traces represent saccades toward the receptive field, and green traces represent saccades opposite the receptive field. Traces are further subdivided according to local fractional income (reward probability during the past few trials): solid thick lines, 0.75 – 1.0; solid medium lines, 0.5 – 0.75; solid thin line, 0.25 – 0.5; dotted thin lines, 0 – Activity for saccades toward the receptive field increased, and that for saccades away decreased as function of local fractional income, resulting in more reliable spatial selectivity (difference between the two saccade directions) with increasing reward probability. (B) LIP neurons are modulated by limb motor planning. Monkeys viewed a display containing a cue (a letter “E”) and several distracters. Without moving gaze from straight ahead, they reported the orientation of the cue by releasing one of two bars grasped with their hands. The neuron illustrated here responded much more strongly when the cue rather than a distracter appeared in its receptive field (left versus right panels). This cuerelated response was modulated by the manual release: the neuron responded much more when the monkey released the left than when she released the right bar (blue versus red traces). Limb modulations did not always accompany a bar release, but were found only when the attended cue was in the receptive field. Bar-release latencies were on the order of 400 – 500 ms.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE 46.9 Attention increases the mean firing rates of individual neurons and the degree to which their firing rates covary over time. (A) Attention-dependent increases in firing rate. (B) Attention-dependent reductions in response covariation. (C) Under the assumption that downstream neurons pool the signals of the afferent neuronal population, observed levels of attention-dependent decorrelation of low-frequency (<10 Hz) fluctuations in firing rate result in increases in signal quality four times as large as the improvement attributable to increases in firing rate.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Electrical stimulation of FEF increases neuronal responsiveness in V4. (A) Current was injected into FEF while neuronal activity was recorded from V4. (B) The visual stimulus appeared in the receptive field for one second (RF stim). 500 ms after the onset of the visual stimulus, a low level of current was applied to a site in FEF for 50 ms (FEF stim). The response of a single V4 neuron with (gray) and without (black) FEF microstimulation appears below. The apparent gap in response reflects the brief period during which V4 recording was paused while current was injected into FEF, when, for technical reasons, the stimulating current interfered with the ability to record action potentials. Following stimulation, the V4 neuron had elevated responses on trials when FEF was electrically stimulated, as compared to trialswithout FEF stimulation.

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Efficient and inefficient visual searches. (A) Pop-out search. The horizontal green bar differs from all other array elements in a single feature, color. As a result, it pops out immediately, regardless of how many elements are in the array. (B) The same target is difficult to find when it is embedded among elements that cannot be differentiated from it on the basis of a single feature (color or orientation). (C) The dark target pops out among squares and circles. (D) When the same target is perceived to be a square occluded behind a circle, it is difficult to find among squares and circles. Because this arrangement of the array interferes with visual search, this suggests that integration of objects into wholes occurs prior to the activation of attentional mechanisms used in visual search. Thus, these mechanisms are evidently not necessary for completion. Adapted from Rensink and Enns (1998).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Attention to one stimulus of a pair filters out the effect of the ignored stimulus. (A) The x-axis shows time (inmilliseconds) from stimulus onset, and the thick horizontal bar indicates stimulus duration. Small iconic figures illustrate sensory conditions. Within each icon, the dotted line indicates the receptive field, and the small dot represents the fixation point. The location of attention inside the receptive field is indicated in red. Attention was directed away from the receptive field in all but one condition. The preferred stimulus is indicated by a horizontal yellow bar and the poor stimulus by a vertical blue bar. In fact, the identity of both stimuli varied from cell to cell. The yellow line shows the response of a V2 neuron to the preferred stimulus. The solid blue line shows the response to the poor stimulus. The green line shows the response to the pair. The addition of the poor stimulus suppressed the response to the preferred stimulus. Attention to the poor stimulus (red arrow) magnified its suppressive effect and drove the response down to a level (dotted blue line) that was similar to the response elicited by the poor stimulus alone. (B) Response of a second V2 neuron. The format is the same as in A. As in the neuron above, the response to the preferred stimulus was suppressed by the addition of the poor stimulus. Attention directed to the preferred stimulus filtered out this suppression, returning the neuron to a response (dotted yellow line) similar to the response that was elicited when the preferred stimulus appeared alone inside the RF. Adapted from Reynolds et al. (1999).

Copyright © 2014 Elsevier Inc. All rights reserved. FIGURE Responses of inferior temporal (IT) neurons during a memory-guided visual search. (A) Task. Monkeys fixated a spot on a computer screen and were shown a central cue (here, either the flower or the cup). After a delay, two (or more) stimuli appeared within the receptive field and the monkey had to saccade to the stimulus that had appeared earlier as the cue. Sometimes (top four images), the cue was a preferred stimulus for the cell (the flower) and the monkey had to saccade to the preferred stimulus. On separate trials (lower four images), the cue was a poor stimulus (the cup) and the monkey had to saccade to the poor stimulus. (B) Neuronal responses. During the delay period, IT neurons showed an elevated baseline activity that reflected the cue stored inmemory. The spontaneous firing rate was higher on trials inwhich the cue was a preferred stimulus for the cell, relative to trials when the cue was a poor stimulus. After the search array appeared, the responses separated, increasing or decreasing depending on whether the cue was, respectively, a preferred or poor stimulus for the cell. This separation occurred well before the onset of the saccade, which is indicated by the vertical bar on the horizontal axis.