We are pleased to announce that we have uploaded a manuscript “Mixtures are more salient stimuli in olfaction” onto the pre-print server BioRxiv. We are now organizing preliminary experimental data which would support our modelling and analysis results and looking forward to submit the work to a journal soon.
Ho Ka gave a featured oral presentation in the main meeting of CNS 2017, a major conference in the field of computational neuroscience. In his talk titled ‘Mixture processing in a biophysical model of honey bees’, he talked about our recent progress in building a ‘statistical biophysical model’ and using the model to studying mixture processing in honey bees, or insects in general. The presentation received positive feedback from experts working on modelling and sensory processing.
Ho Ka Chan gave a talk on “Discriminating between correlated and uncorrelated signals with a small neural circuit” at the 9th Dynamics Days Asia Pacific in Hong Kong. The 4-day conference covered multi-disciplinary topics related to dynamical systems, including thermodynamics, network science, system biology and neuroscience. The Odor Objects presentation was given in the track “Neural Dynamics and Modeling I” and aroused much interest in the audience.
Ho Ka Chan is a PhD student in the University of Sussex. He obtained his undergraduate degree in physics in the Chinese University of Hong Kong. He then obtained his M. Phil degree in Hong Kong Baptist University. Supervised by Prof. Changsong Zhou, he studied how transfer of spike correlation of neurons is affected by synaptic properties.