Christoph Dinh
Christoph Dinh

Dr.-Ing.
Biomedical engineering

Christoph Dinh

Neurotechnology &
scientific computing.

I work on neural signal acquisition, source imaging and decoding in real time.

Head of Physical AI & Computing at ZEISS, where I also coordinate the brain-computer interfaces technology field.

ProjectsContact

Fig. 01 · Source imagingMEG / Right-ear tones
Cortical surface reconstructed from MRI, seen from the left, with an auditory source estimate shown from blue to white around the Sylvian fissure and upper temporal lobe.

Latency92 ms

Tone100 ms200 ms

Auditory evoked response. MNE sample dataset, average of 61 trials. Source estimate computed with MNE-Python.

dSPM 5–18 · Brighter = stronger

Data, method & controls

MEG recorded during tones to the right ear, shown on the participant’s reconstructed cortical surface. Both hemispheres are included; the view opens on the left one, opposite the stimulated ear. This is an offline dSPM source estimate of measured data, not a live recording. The colour scale covers dSPM 5–18; stronger values are drawn white. The trace shows planar-gradiometer RMS, peaking at 42 fT/cm.

The static figure shows the peak response. On supported browsers, the interactive view allows rotation, surface inflation and time-course playback.

Dataset documentation · Computation script

Selected work

All projects

Selected publications

Complete record

I studied biomedical engineering at TU Ilmenau and carried out research at Massachusetts General Hospital and Harvard Medical School.

About me

christoph.dinh@mne-cpp.org