Dorian Florescu: PhD Thesis Publication

Congratulations to ACSE PhD student, Dorian Florescu, on his recent PhD thesis publication.

Dorian's Published ThesisHis thesis, entitled 'Reconstruction, identification and implementation methods for spiking neural circuits', has been published by the Springer Theses - who recognise outstanding PhD research.

Internationally top-ranked research institutes select their best thesis annually for publication in the Springer Theses series. Nominated and endorsed by two recognised specialists, each thesis is chosen for its scientific excellence and impact on research. For greater accessibility to non-specialists, the published versions include an extended introduction, as well as a foreword by the student’s supervisor explaining the special relevance of the work for the field. As a whole, the series provides a valuable resource both for newcomers to the relevant field, and for other scientists seeking detailed background information on special questions. Finally, it provides an accredited documentation of the valuable contributions made by today’s younger generation of scientists.

Dorian's thesis addresses three major issues in the field of computational neuroscience as well as neuromorphic engineering.

The first problem is concerned with the formulation of the encoding performed by an IF neuron. The encoding mechanism is described mathematically by the t-transform equation, whose standard formulation is given by the projection of the stimulus onto a set of input dependent frame functions. As a consequence, the standard methods reconstruct the input of an IF neuron in a space spanned by a set of functions that depend on the stimulus. The process becomes computationally demanding when performing reconstruction from long sequences of spike times.

The issue is addressed in this work by developing a new framework in which the IF encoding process is formulated as a problem of uniform sampling on a set of input independent time points. Based on this formulation, new algorithms are introduced for reconstructing the input of an IF neuron belonging to bandlimited as well as shift-invariant spaces.

You can view and download Dorian's full thesis paper here.

This is a massive achievement for Dorian and from everyone in the Department of ACSE we wish you a huge congratulations!