My current research focuses on human behavioral and electrophysiological (EEG) experiments (in collaboration with Prof. Leon Deouell’s lab) and large scale neural-network modeling of ‘intentions’, ‘intention formation’ and complex processes such as ‘change of intention’. These and other notions and processes are closely related to the concepts of will and agency. I’m also interested in the following general question: in what way can progress in the scientific realm of these concepts lead to deeper understanding in the related philosophical discourse, and vice versa?
In most neuronal systems, neural activities are in the form of dynamic time series of spikes, and stimulus representation in some sensory systems is characterized by a small number of precisely timed spikes. More generally, many of the most interesting tasks our brain performs involve the processing of temporally modulated stimuli and the production of temporally accurate output, for example, fast visual processing (reading), auditory processing of time varying signal (speech) and production of fast accurate motor output (speech, singing, writing or playing a musical instrument).
These findings suggest that the brain possesses a machinery for extracting information embedded in the timings of spikes and for generating series of precisely timed spikes. Thus, understanding the power and limitations of spike-timing based computation and learning is of fundamental importance in computational neuroscience.
In our work we study the way in which neurons may perform the processing and generation of spike-timing based inputs and outputs. Our goal is to develop a complete model for neuronal learning in the temporal domain.