NEURAL ENGINEERING Biologically inspired algorithms and signal processing for single neuron and neuron populations, including, e.g., spiking neuron models, visual cortex signal processing and development of underlying learning mechanisms.
Distributed and parallel computation in sensorimotor and somatomotor regime, including theory, algorithms, and applications.
Complex system models, as neural networks and related models, including bioinformatic and neurophysiologic aspects, as ionic functionalities in synaptic signal transmission dynamics.
Statistical time series analysis, pattern recognition and
classification, and related neural network model development.
Neuromorphic very large scale integrated (VLSI) circuit implementation of biological models. Personal Research Page