Sentence examples for behavioral experiments suggest that from inspiring English sources

Exact(2)

Behavioral experiments suggest that the ground is inhibited to a degree that depends on the extent to which it competed for object status, and that this inhibition is relayed to low-level brain areas.

Some behavioral experiments suggest that the olm may be able to use Earth's magnetic field to orient itself.

Similar(58)

Behavioral experiments suggested that honey bees detect near-field sound with JO in the pedicel of the antenna [11].

Behavioral experiments suggested that femoral gland secretions might transmit information about a male's quality, and thus females may use this information to choose their mates [7], [19], [21] [22].

Consistent with this theoretical example, Yamagishi and colleagues had conducted behavioral experiments suggesting that ingroup favoritism occurs because subjects anticipate that the reputation mechanism is functional only inside the group [ 25- 27, 29, 33].

These results from electrophysiological and behavioral experiments suggest the possibility that amino acids dissolved in natal stream water are possible natal stream odors for salmon.

Our behavioral experiments suggest a strong positive correlation with the specificity of Or7a activation and oviposition-guidance.

Experiments suggest that such errors are quite common.

Our experiments suggest that a selective vulnerability of neurotransmitter release pathways in aged animals is the underlying mechanism that leads to a specific decay in secondary olfactory neuron activity and associated behavioral decline.

Particularly relevant to the findings we report here are experiments suggesting that the behavioral patterns stimulated by increased intrastriatal TRH in intact non-primate mammals are akin to human dyskinesia [57], [58], [59], [60], [61], [62], [63].

Drawing on phonetic analyses, computational models and behavioral experiments I suggest that if listeners recode incoming acoustic information relative to expectations, this variability can largely be explained away, allowing for much more robust categorization.

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