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Hawellek, D. J.

Publications and source records attributed to Hawellek, D. J..

2 recordsLinked to original sources

Motion Coherence and Luminance Contrast Interact in Driving Visual Gamma-Band Activity

Synchronized neuronal population activity in the gamma-frequency range (> 30 Hz) correlates with the bottom-up drive of various visual features. It has been hypothesized that gamma-band synchronization enhances the gain of neuronal representations, yet evidence remains sparse. We tested a critical prediction of the gain hypothesis, which is that features that drive synchronized gamma-band activity interact super-linearly. To test this prediction, we employed whole-head magnetencephalography (MEG) in human subjects and investigated if the strength of visual motion (motion coherence) and luminance contrast interact in driving gamma-band activity in visual cortex. We found that gamma-band activity (64 to 128 Hz) monotonically increased with coherence and contrast while lower frequency activity (8 to 32 Hz) decreased with both features. Furthermore, as predicted for a gain mechanism, we found a multiplicative interaction between motion coherence and contrast in their joint drive of gamma-band activity. The lower frequency activity did not show such an interaction. Our findings provide evidence, that gamma-band activity acts as a cortical gain mechanism that nonlinearly combines the bottom-up drive of different visual features in support of visually guided behavior.

neuroscience↗

Deliberation and enaction during adaptive economic choice

Economic decisions can adapt to contexts. Choices can be quick and impulsive or slow and more deliberative, depending on the temporal context. Choices can also depend on how we enact the choice, in an action context. Where we decide to go for dinner may change if we can take a taxi or need to walk.\n\nWe hypothesized that frontal action circuits could contribute to adapting economic choices to context because of their privileged position over actions as endpoints of decisions.\n\nTo test this, we performed an unbiased survey of neuronal population activity across motor, premotor and prefrontal cortices as animals expressed context-dependent economic preferences. Activity in distributed action circuits tracked the animals evolving preferences in real-time and integrated them with a signal for their enaction. We propose that frontal action circuits form a neural substrate that supports an adaptive control over economic choice by flexibly translating real-time preferences into actions.

neuroscience↗