Doiron Theoretical Neuroscience Group

Prince Edward Island, Canada

 

Cellular and Synaptic Dynamics

 

Network Dynamics and Neural Coding

 

Cognitive Processing

 

The combined activity of many neurons within a brain region subtends a 'neural code' for the representation of sensory input. Understanding how the complicated wiring between neurons supports neural coding is a central challenge facing today's theoretical neuroscientists. We use large scale simulations of biophysically motivated neural circuits as well as associated mean field theories to develop core insights into the dynamical behavior of populations of neurons. We are particularly interested in the dynamics and coding of sensory networks, and have long-standing collaborations with experimentalists studying the visual, somatosensory, auditory, olfactory, and electrosensory systems. Representative publications R. Rosenbaum & B. Doiron. Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections. Physical Review X 4, 021039, 2014. A. Litwin-Kumar & B. Doiron. Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature Neuroscience. 15: 1498-1505, 2012 C. Ly, J.W. Middleton & B. Doiron. Cellular and circuit mechanisms maintain low spike co-variability and enhance population coding in somatosensory cortex. Frontiers in Computational Neuroscience, 6 doi: 10.3389/fncom.2012.00007, 2012. B. Doiron, M.J. Chacron, L. Maler, A. Longtin & J. Bastain. Inhibitory feedback required for network oscillatory responses to communication but not prey stimuli. Nature 421:539-543, 2003.