scholarly journals Evolution of neural processing for visual perception in vertebrates

2020 ◽  
Vol 528 (17) ◽  
pp. 2888-2901
Author(s):  
Eric I. Knudsen

2020 ◽  
Author(s):  
Phillip Cheng ◽  
Anina N. Rich ◽  
Mike Le Pelley

Rewards exert a deep influence on our cognition and behaviour. Here, we used a paradigm in which reward information was provided at either encoding or retrieval of a brief, masked stimulus to show that reward can also rapidly modulate early neural processing of visual information, prior to consciousness. Experiment 1 showed enhanced response accuracy when a to-be-encoded grating signalled high reward relative to low reward, but only when the grating was presented very briefly and participants were not consciously aware of it. Experiment 2 showed no difference in response accuracy when reward information was instead provided at the stage of retrieval, ruling out an explanation of the reward-modulation effect in terms of differences in motivated retrieval. Taken together, our findings provide the first behavioural evidence for a rapid reward-modulation of visual perception, which does not seem to require consciousness.



2019 ◽  
Author(s):  
Nadine Dijkstra ◽  
Sander Erik Bosch ◽  
Marcel van Gerven

For decades, the extent to which visual imagery relies on similar neural mechanisms as visual perception has been a topic of debate. Here, we review recent neuroimaging studies comparing these two forms of visual experience. Their results suggest that there is large overlap in neural processing during perception and imagery: neural representations of imagined and perceived stimuli are similar in visual, parietal and frontal cortex. Furthermore, perception and imagery seem to rely on similar top-down connectivity. The most prominent difference is the absence of bottom-up processing during imagery. These findings fit well with the idea that imagery and perception rely on similar emulation or prediction processes.



Author(s):  
Leslie Allaman ◽  
Anaïs Mottaz ◽  
Andreas Kleinschmidt ◽  
Adrian G. Guggisberg

AbstractNeurobehavioral studies in humans have long concentrated on changes in local activity levels during repetitive executions of a task. Spontaneous neural coupling within extended networks has latterly been found to also influence performance. Here, we intend to uncover the underlying mechanisms and the interaction with task-induced activations. We demonstrate that high performers in visual perception and motor sequence tasks present an absence of classical task-induced activations, but, instead, strong spontaneous network coupling. Activations were thus a compensation mechanism needed only in subjects with lower spontaneous network interactions. This challenges classical models of neural processing and calls for new strategies in attempts to train and enhance performance.



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