, 2010) Nikolaou et al (2012) only made functional measurements

, 2010). Nikolaou et al. (2012) only made functional measurements across a single confocal slice

corresponding to one locality in the retina, but with the adoption PD-L1 inhibitor of fast volume imaging, it should be possible to monitor incoming signals through large volumes of the tectum corresponding to wider regions of visual space. Morphological techniques could then be applied to flatten the tectum to more clearly define the lamina of the SFGS across the whole visual field. Such an approach should provide a finer understanding of how different kinds of information are organized in different layers of the tectum, as well as potentially revealing biases for certain kinds of information in particular regions of the visual field. Monitoring the synaptic output from retinal ganglion cells with SyGCaMPs will also allow experimenters to probe how information about other important properties of visual stimuli are distributed within the tectum, such as color or spatial size. For instance, how are signals from different classes of color-opponent ganglion cells organized? And of course it will also be possible to monitor visual signals transmitted to other regions of the zebrafish brain. An obvious next step in investigating how the visual signal is processed will be to relate the

signals entering the optic tectum to the responses of the tectal neurons themselves, and this is likely Romidepsin molecular weight to be a major task. A class of tectal neuron with directional preference has recently been described, but it is the inhibitory inputs provided by local interneurons that play the major part in determining their tuning properties (Grama and Engert, 2012). Local inhibition also plays a major role in determining the spatial tuning of tectal neurons (Del Bene et al., 2010). Clearly, we will need to unravel the operation

of smaller circuits contained within different layers of the tectum to understand how the input-output relation of this brain structure is determined by the neurons and synapses. We have a similar problem in the retina, where the specific microcircuits formed by bipolar cells and inhibitory amacrine cells shape the variety of output delivered by ganglion cells. In the context of the retina, the experimenter has Urease the advantage that the normal input to the circuit, light, can be finely controlled, but one of the fundamental difficulties in analyzing the transformations carried out by downstream stages of the visual system has been uncertainties as to the nature of the incoming signals. Nikolaou et al. (2012) have provided a beautiful example of how population imaging of synaptic activity using SyGCaMPs can begin to provide this information. The study of Nikolaou et al. (2012) also highlights some of the strengths of the larval zebrafish for studying questions in systems neuroscience. As well as being relatively easy to manipulate genetically, zebrafish can be imaged with relative ease.

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