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Label-free imaging with MS uses an intrinsic molecular parameter, the molecular mass, to identify and visualize the distribution of a wide variety of biomolecules at surfaces.
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Stimuli were flashed for 33 ms using an intertrial interval of 5 s and a design that carefully balanced targets and distractors in a pseudo-random sequence.
Six electric pulses with the fixed pulse duration of 50 msec/pulse, were delivered at an interval of 200 ms using an electric pulse generator.
These MFCCs were extracted every 10 ms using a 20-ms sliding window.
Classification accuracy is determined for each time point between −200 and 600 ms, using a 30-ms sliding time window, creating a concept classification time course.
Spatial variation was examined across scales ranging from within a leaf (cms) to across the bed (ms), using a nested analysis of covariance sampling design.
The Vocaloid system required around one second to generate high quality voice synthesis used in experiments, or around 200 ms using a lower quality real-time mode.
The following parameters were used to acquire the 3D SPGR images; TR = 11.3 ms, TE = 1.8 ms using a 128×128 matrix, FOV = 40×40×40 mm3, and NEX = 1.
Full-field cone ERGs were also elicited by long-duration flashes of 100 ms using a densely packed array of white LEDs.
For each DC injection level a trajectory of T = 500000 ms was calculated for the model and a basis in tangent space which was then re-orthonormalized every 5 ms using a Gram-Schmidt orthonormalization procedure.
First, we wanted to investigate an early attentional shift (within the first 500 ms) using a variable that would also be suitable to measure a prolonged preference shift (over the last 7500 ms).
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