Octopaminergic modulation of temporal frequency coding in an identified optic flow-processing interneuron

• Main Authors: Kit D. Longden, Holger G. Krapp
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2010-11-01
• Series: Frontiers in Systems Neuroscience
• Subjects: Information Theory; Octopamine; Optic Flow; Vision; State-dependence
• Online Access: http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00153/full

Flying generates predictably different patterns of optic flow compared with other locomotor states. A sensorimotor system tuned to rapid responses and a high bandwidth of optic flow would help the animal to avoid wasting energy through imprecise motor action. However, neural processing that covers a higher input bandwidth itself comes at higher energetic costs which would be a poor investment when the animal was not flying. How does the blowfly adjust the dynamic range of its optic flow-processing neurons to the locomotor state? Octopamine (OA) is a biogenic amine central to the initiation and maintenance of flight in insects. We used an OA agonist chlordimeform (CDM) to simulate the widespread OA release during flight and recorded the effects on the temporal frequency coding of the H2 cell. This cell is a visual interneuron known to be involved in flight stabilization reflexes. The application of CDM resulted in i) an increase in the cell's spontaneous activity, expanding the inhibitory signalling range ii) an initial response gain to moving gratings (20 – 60 ms post-stimulus) that depended on the temporal frequency of the grating and iii) a reduction in the rate and magnitude of motion adaptation that was also temporal frequency-dependent. To our knowledge, this is the first demonstration that the application of a neuromodulator can induce velocity-dependent alterations in the gain of a wide-field optic flow-processing neuron. The observed changes in the cell’s response properties resulted in a 33% increase of the cell’s information rate when encoding random changes in temporal frequency of the stimulus. The increased signalling range and more rapid, longer lasting responses employed more spikes to encode each bit, and so consumed a greater amount of energy. It appears that for the fly investing more energy in sensory processing during flight is more efficient than wasting energy on under-performing motor control.