Teaching Highlights

I have realized that by adopting a "Lecturetainment" way of teaching many ideas can be communicated easier. The following slides, which are extracts from a lecture aimed at introducing Geometrical Data Analysis, can provide a glimpse into this personal style. Download PPT

Some introductory notes describing the basic algorithmic steps of our Intelligent Single Trial Analysis framework can be found here. The related mfiles can found here along with a small dataset of MEG-responses and the detailed steps demonstrating our approach.

An intelligible conceptualization of our approach is provided via the figure (click to zoom):

 

The following 12 presentations were used in the seminars of RIKEN-Cognitive Brain Science Group and include material I developed, based on contemporary literature, in order to introduce some new methodological aspects to Neuroscientists.
Identifying the stages of processing in Face Categorization / Identification using MEG. Download PDF
Modelling of brain activity related to hand movements. Download PDF
Using Classifiers to understand somatosensory encoding in neural ensembles. Download PDF
Studying neuronal synchronization based on coherent oscillatory activity. Download PDF
Exploratory Meta-analysis of clustering algorithms for fMRI time-series. Download PDF
Applying ICA to EEG-data from Visual Responses. Download PDF
Using Partial Directed Coherence to study the direction of sensory information. Download PDF
Using a Single-Trial methodology to identify neural correlates of monkey’s decision based on single-neuron recordings. Download PDF
Studying brain’s pattern formation associated with event-related responses. Download PDF
Empirical modelling of early vision mechanisms. Download PDF
Application of PCA/ICA to study MEG-activity related to phoneme discrimination.
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Using Vector Quantization to characterize and understand single-trial variability in early visual neuromagnetic responses Download PDF | Download PPT
Some introductory notes describing the basic algorithmic steps of our Intelligent Single Trial Analysis framework can be found here.

The related mfiles can found at here, along with a small dataset of MEG-responses and the detailed steps demonstrating our approach.

Some Lecturetainment slides from lessons taught in the past can be found below

Kohonen Self Organizing Neural Networks

Hopfield Neural Networks