This project explored the intrinsic properties of olfactory bulb output neurons. We showed that input from the olfactory nerve activates Ca2+channels located in the primary dendrites and these contribute to dendritic glutamate release. The resulting depolarisation and boosted glutamate release synchronises the activity of multiple output neurons belonging to the same glomerulus. The papers can be found here and here
And its application to multi-neuronal electrophysiology and imaging
Neurons in sensory systems have receptive fields. In the somatosensory system, this might be an area of the skin to which the neuron is responsive, whereas in the visual system the receptive field is an area on the retina. Several properties of the receptive field are of interest. The spatial extent of the receptive field, e.g. the area on the retina to which the neuron is responsive, and the temporal characteristics, e.g. when will the neuron respond after applying a stimulus. Measuring the properties of a neuron’s receptive field is an important step towards understanding its function.
General Features of the retinal connectome determine the computation of motion anticipation
Sensory systems must reduce the transmission of redundant information to function efficiently. One strategy is to continuously adjust the sensitivity of neurons to suppress responses to common features of the input while enhancing responses to new ones.
In this project we used 2-photon imaging of the synaptic transmitter glutamate. Taking advantage of the genetically encoded fluoresecent reporter of glutamate iGluSnFR we were able to image the synaptic inputs impinging upon retinal ganglion cells as well as the output of the same ganglion cells at their axon terminals.
We show that the synaptic terminals of retinal bipolar cells compute the orientation of edges and that the retina signals the orientation of edges by two distinct means. One population of retinal ganglion cells are statically tuned, receiving inputs from retinal bipolar cells that are all tuned to a single orientation. A second population of retinal ganglion cells receive a mix of inputs from retinal bipolar cells tuned to different orientations. These ganglion cells are able to respond transiently to a change in orientation yet mainatin sensitivity to any further change in orientation, a computation termed dynamic predictive coding.
We also revealed key roles for inhibitory neurons within this circuit. Lateral inhibition is required for the computation of orientation by retinal bipolar cell synapses (see diagram). Whereas feedforward inhibition is required to generate a high-pass filter that enables ganglion cells carrying a dynamic predictive code to only transmits the initial activation of their different retinal bipolar cell inputs, thus removing redundancy. These results demonstrate how a dynamic predictive code can be implemented by circuit motifs common to many parts of the brain. The full paper is available here.