Many animals use visual signals to estimate motion. Canonical models suppose that animals estimate motion by cross-correlating pairs of spatiotemporally separated visual signals, but recent experiments indicate that humans and flies perceive motion from higher-order correlations that signify motion in natural environments. Here we show how biologically plausible processing motifs in neural circ...

Spectral regrowth in power amplification of digitally modulated signals can be partly explained by considering intermodulation of discrete signals. A full description however requires statistical modelling. An accurate modelling approach for predicting spectral regrowth and the origins of asymmetric adjacent channel distortion in digital radio are presented.

We discuss the role and importance of dynamics in the brain and biological neural networks and argue that dynamics is one of the main missing elements in conventional Boolean logic and circuits. We summarize a simple dynamics based computing method, and categorize different techniques that we have introduced to realize logic, functionality, and programmability. We discuss the role and importanc...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Stefano D'Angelo Name of the doctoral dissertation Virtual Analog Modeling of Nonlinear Musical Circuits Publisher School of Electrical Engineering Unit Department of Signal Processing and Acoustics Series Aalto University publication series DOCTORAL DISSERTATIONS 158/2014 Field of research Audio Signal Processing Manuscript s...

A new conceptual framework and a minimization principle together provide an understanding of computation in model neural circuits. The circuits consist of nonlinear graded-response model neurons organized into networks with effectively symmetric synaptic connections. The neurons represent an approximation to biological neurons in which a simplified set of important computational properties is r...