O. Savolainen

The paper examines fine-scale genetic structure in Scots pine, finding low average relatedness at short distances and no site differentiation.

This paper develops and evaluates ultra-low power MUA compression schemes for wireless iBMIs, finding that delta-asynchronous methods are optimal for short binning periods while synchronous methods are better for longer periods.

This paper develops hardware-efficient compression for neural multi-unit activity signals, reducing bandwidth and power usage while maintaining decoding performance.

The paper examines how environmental factors influence gene expression and DNA methylation in Arabidopsis lyrata, revealing plasticity and genetic variation in response to lowland and alpine conditions.

This paper develops a low-cost EEG-based BCI device using SSVEP decoding with CCA variants, achieving 95.56% accuracy and 102 bits/min ITR on an ESP32 microcontroller.

The paper examines a range-edge population of Arabidopsis lyrata ssp petraea and finds it maintains adaptive dynamics and no detectable fitness load despite genetic drift and increased genomic burden of deleterious mutations.