I am interested in a variety of biological topics, with a particular emphasis on neuroscience. I study learning and the transfer of information between different brain areas at the circuits level, using models based on artificial neural networks. I use population dynamics models to investigate the adaptive immunity of bacteria against phage.
I have recently started working on understanding odor representations in the piriform cortex in mice. Another collaboration I recently joined focuses on analyzing the statistics of textures in visual scenes, and how these may differ between objects and non-objects.
In the past, I have worked on inferring functional and structural information about proteins by analyzing the statistics of multiple sequence alignments. I have also worked on modeling the transcriptional regulation of gene expression using thermodynamically-motivated models.
In a different life, I have worked in theoretical high-energy physics, focusing on various aspects of the AdS/CFT duality in string theory.
|each blob is a leaky integrate-and-fire neuron|
|redness indicates membrane voltage and spiking|
|neurons are noisy|
|there are synapses with all 8 neighbors|
|synapses are plastic with a timing-dependent rule|
|use mouse or touch to input a Gaussian-profile current into the net|