Perceptual bias following visual target selection

NeuroImage ◽  
2005 ◽  
Vol 25 (4) ◽  
pp. 1168-1174 ◽  
Author(s):  
Matthijs Vink ◽  
René S. Kahn ◽  
Mathijs Raemaekers ◽  
Nick F. Ramsey
2010 ◽  
Vol 30 (9) ◽  
pp. 3227-3238 ◽  
Author(s):  
J. Y. Cohen ◽  
E. A. Crowder ◽  
R. P. Heitz ◽  
C. R. Subraveti ◽  
K. G. Thompson ◽  
...  

2009 ◽  
Vol 101 (4) ◽  
pp. 1699-1704 ◽  
Author(s):  
Jeremiah Y. Cohen ◽  
Richard P. Heitz ◽  
Geoffrey F. Woodman ◽  
Jeffrey D. Schall

Visual search for a target object among distractors often takes longer when more distractors are present. To understand the neural basis of this capacity limitation, we recorded activity from visually responsive neurons in the frontal eye field (FEF) of macaque monkeys searching for a target among distractors defined by form (randomly oriented T or L). To test the hypothesis that the delay of response time with increasing number of distractors originates in the delay of attention allocation by FEF neurons, we manipulated the number of distractors presented with the search target. When monkeys were presented with more distractors, visual target selection was delayed and neuronal activity was reduced in proportion to longer response time. These findings indicate that the time taken by FEF neurons to select the target contributes to the variation in visual search efficiency.


2018 ◽  
Author(s):  
Mohsen Rakhshan ◽  
Vivian Lee ◽  
Emily Chu ◽  
Lauren Harris ◽  
Lillian Laiks ◽  
...  

AbstractPerceptual decision making is influenced by reward expected from alternative options or actions, but the underlying neural mechanisms are currently unknown. More specifically, it is debated whether reward effects are mediated through changes in sensory processing and/or later stages of decision making. To address this question, we conducted two experiments in which human subjects made saccades to what they perceived to be the first or second of two visually identical but asynchronously presented targets, while we manipulated expected reward from correct and incorrect responses on each trial. We found that unequal reward caused similar shifts in target selection (reward bias) between the two experiments. Moreover, observed reward biases were independent of the individual’s sensitivity to sensory signals. These findings suggest that the observed reward effects were determined heuristically via modulation of decision-making processes instead of sensory processing and thus, are more compatible with response bias rather than perceptual bias. To further explain our findings and uncover plausible neural mechanisms, we simulated our experiments with a cortical network model and tested alternative mechanisms for how reward could exert its influence. We found that our observations are more compatible with reward-dependent input to the output layer of the decision circuit. Together, our results suggest that during a temporal judgment task, the influence of reward information on perceptual choice is more compatible with changing later stages of decision making rather than early sensory processing.


Author(s):  
Cees van Leeuwen ◽  
Tina Weis ◽  
Thomas Lachmann

2019 ◽  
Vol 122 (6) ◽  
pp. 2259-2271
Author(s):  
Guy Avraham ◽  
Erez Sulimani ◽  
Ferdinando A. Mussa-Ivaldi ◽  
Ilana Nisky

The sensory system constantly deals with delayed feedback. Recent studies showed that playing a virtual game of pong with delayed feedback caused hypermetric reaching movements. We investigated whether this effect is associated with a perceptual bias. In addition, we examined the importance of the target in causing hypermetric movements. In a first experiment, participants played a delayed pong game and blindly reached to presented targets. Following each reaching movement, they assessed the position of the invisible cursor. We found that participants performed hypermetric movements but reported that the invisible cursor reached the target, suggesting that they were unaware of the hypermetria and that their perception was biased toward the target rather than toward their hand position. In a second experiment, we removed the visual target, and strikingly, the hypermetria vanished. Moreover, participants reported that the invisible cursor was located with their hand. Taking these results together, we conclude that the adaptation to the visuomotor delay during the pong game selectively affected the execution of goal directed movements, resulting in hypermetria and perceptual bias when movements are directed toward visual targets but not when such targets are absent. NEW & NOTEWORTHY Recent studies showed that adaptation to visuomotor delays causes hypermetric movements in the absence of visual feedback, suggesting that visuomotor delay is represented using current state information. We report that this adaptation also affects perception. Importantly, both the motor and perceptual effects are selective to the representations that are used in the execution of goal-directed movements toward visual targets.


1996 ◽  
Vol 76 (3) ◽  
pp. 1744-1758 ◽  
Author(s):  
B. J. Melis ◽  
J. A. van Gisbergen

1. This study focuses on the neural mechanisms underlying short-term adaptation of saccadic eye movements in the rhesus monkey. Involuntary saccades of various amplitudes and directions (E-saccades) were elicited in complete darkness by electrical stimulation (< or = 50 microA) in the deeper layers of the superior colliculus (SC) at 30 different sites in two monkeys. E-saccades at a given site could be adapted by presenting a visual target at a small distance from the expected end point immediately after their occurrence. The monkeys were trained to null the ensuing error signal by making the appropriate correction saccade to the visual target in many successive trials (E-adap paradigm). By properly adjusting the location of the visual target relative to the end point of the E-saccade, the latter could be modified in amplitude as well as in direction. 2. E-saccade modifications were highly significant, always in the intended direction, and occurred only if a postsaccadic visual error signal was created. These changes were plastic and required a subsequent E-adap series with an opposite error signal to cancel them. Their time course, both during the adaptation and the readaptation period, indicated that the modification was a slow and gradual process, as has been observed earlier in classical visual adaptation experiments. 3. Postadaptation tests, assessing whether the adaptation of E-saccades was also noticeable in normal visually guided saccades (V-saccades), showed incomplete adaptation transfer that was significant in most cases. A similar result, significant in all cases, was obtained with an extended version of the E-adap paradigm in which movement planning on the basis of target selection was possible. In this case, a presaccadic visual target was presented at the expected end point of the E-saccade, which was evoked just before the monkey would make a voluntary saccade itself (VE-adap). 4. In another series of experiments, V-saccades, which were matched to the optimal saccade vector of the particular collicular site under investigation, were adapted with the classical intrasaccadic target shift paradigm (V-adap). In agreement with earlier findings, this V-adaptation showed no transfer to the E-saccades. This result was obtained even in trials in which movement planning on the basis of target selection was possible (VE-test). 5. Our experiments have shown that saccades of collicular origin can be adapted and that presaccadic target selection is not crucial for this process. Both results are nicely in line with an existing model featuring a downstream adaptive corrector with access to SC inputs. This scheme, however, does not explain why the degree of saccadic adaptation, achieved by applying any of the three adaptation paradigms (E-adap, EV-adap, or V-adap), was never equally expressed in V- and E-saccades. Arguments for extending the model by adding a cortical input from the frontal eye fields to the adaptive corrector are discussed.


2020 ◽  
Vol 32 (4) ◽  
pp. 674-690 ◽  
Author(s):  
Mohsen Rakhshan ◽  
Vivian Lee ◽  
Emily Chu ◽  
Lauren Harris ◽  
Lillian Laiks ◽  
...  

Perceptual decision-making has been shown to be influenced by reward expected from alternative options or actions, but the underlying neural mechanisms are currently unknown. More specifically, it is debated whether reward effects are mediated through changes in sensory processing, later stages of decision-making, or both. To address this question, we conducted two experiments in which human participants made saccades to what they perceived to be either the first or second of two visually identical but asynchronously presented targets while we manipulated expected reward from correct and incorrect responses on each trial. By comparing reward-induced bias in target selection (i.e., reward bias) during the two experiments, we determined whether reward caused changes in sensory or decision-making processes. We found similar reward biases in the two experiments indicating that reward information mainly influenced later stages of decision-making. Moreover, the observed reward biases were independent of the individual's sensitivity to sensory signals. This suggests that reward effects were determined heuristically via modulation of decision-making processes instead of sensory processing. To further explain our findings and uncover plausible neural mechanisms, we simulated our experiments with a cortical network model and tested alternative mechanisms for how reward could exert its influence. We found that our experimental observations are more compatible with reward-dependent input to the output layer of the decision circuit. Together, our results suggest that, during a temporal judgment task, reward exerts its influence via changing later stages of decision-making (i.e., response bias) rather than early sensory processing (i.e., perceptual bias).


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