Alois Knoll

This paper develops a reduced-band SWIR spectroscopy and chemometric model to non-destructively map starch distribution in strawberry leaves with high spatial resolution.

The paper demonstrates that a spinal cord model can learn rhythmic movements using the BCM learning rule, without requiring rhythm generating neurons or genetically defined connectivity.

This paper compares multi-scale, multi-field place codes with grid codes in simulations, finding grid codes outperform in decoding accuracy but are less robust to noise and lesions.

The paper investigates spinal interneuron connectivity in cats and finds that input patterns form a continuum rather than distinct classes.

The paper questions the validity of self-inhibitory mechanisms in the half-center model of locomotion control using in vivo data and functional evaluations.