@article {69515, title = {Exploration and exploitation are flexibly balanced during local search in flies}, journal = {bioRxiv}, year = {2024}, month = {2024 Jun 28}, abstract = {

After finding food, a foraging animal must decide whether to continue feeding, or to explore the environment for potentially better options. One strategy to negotiate this tradeoff is to perform local searches around the food but repeatedly return to feed. We studied this behavior in flies and used genetic tools to uncover the underlying mechanisms. Over time, flies gradually expand their search, shifting from primarily exploiting food sources to exploring the environment, a change that is likely driven by increases in satiety. We found that flies{\textquoteright} search patterns preserve these dynamics even as the overall scale of the search is modulated by starvation-induced changes in metabolic state. In contrast, search induced by optogenetic activation of sugar sensing neurons does not show these dynamics. We asked what navigational strategies underlie local search. Using a generative model, we found that a change in locomotor pattern after food consumption could account for repeated returns to the food, but failed to capture relatively direct, long return trajectories. Alternative strategies, such as path integration or sensory taxis could allow flies to return from larger distances. We tested this by individually silencing the fly{\textquoteright}s head direction system, olfaction and hygrosensation, and found that the only substantial effect was from perturbing hygrosensation, which reduced the number of long exploratory trips. Our study illustrates that local search is composed of multiple behavioral features that evolve over time based on both internal and external factors, providing a path towards uncovering the underlying neural mechanisms.

}, doi = {10.1101/2024.06.26.600764}, url = {https://www.biorxiv.org/content/early/2024/06/28/2024.06.26.600764}, author = {Goldschmidt, Dennis and Guo, Yipei and Chitnis, Shivam S and Christoforou, Christina and Turner-Evans, Dan and Ribeiro, Carlos and Hermundstad, Ann M and Jayaraman, Vivek and Haberkern, Hannah} } @article {1647, title = {Evaluating a genetically encoded optical sensor of neural activity using electrophysiology in intact adult fruit flies.}, journal = {Frontiers in Neural Circuits}, volume = {1}, year = {2007}, month = {2007 Nov 2}, pages = {3}, abstract = {

Genetically encoded optical indicators hold the promise of enabling non-invasive monitoring of activity in identified neurons in behaving organisms. However, the interpretation of images of brain activity produced using such sensors is not straightforward. Several recent studies of sensory coding used G-CaMP 1.3-a calcium sensor-as an indicator of neural activity; some of these studies characterized the imaged neurons as having narrow tuning curves, a conclusion not always supported by parallel electrophysiological studies. To better understand the possible cause of these conflicting results, we performed simultaneous in vivo 2-photon imaging and electrophysiological recording of G-CaMP 1.3 expressing neurons in the antennal lobe (AL) of intact fruitflies. We find that G-CaMP has a relatively high threshold, that its signal often fails to capture spiking response kinetics, and that it can miss even high instantaneous rates of activity if those are not sustained. While G-CaMP can be misleading, it is clearly useful for the identification of promising neural targets: when electrical activity is well above the sensor{\textquoteright}s detection threshold, its signal is fairly well correlated with mean firing rate and G-CaMP does not appear to alter significantly the responses of neurons that express it. The methods we present should enable any genetically encoded sensor, activator, or silencer to be evaluated in an intact neural circuit in vivo in Drosophila.

}, issn = {1662-5110}, doi = {10.3389/neuro.04.003.2007}, author = {Jayaraman, Vivek and Laurent, Gilles} } @article {1648, title = {Encoding and decoding of overlapping odor sequences.}, journal = {Neuron}, volume = {51}, year = {2005}, month = {2006 Aug 17}, pages = {467-82}, abstract = {

Odors evoke complex responses in locust antennal lobe projection neurons (PNs)-the mitral cell analogs. These patterns evolve over hundreds of milliseconds and contain information about odor identity and concentration. In nature, animals often encounter many odorants in short temporal succession. We explored the effects of such conditions by presenting two different odors with variable intervening delays. PN ensemble representations tracked stimulus changes and, in some delay conditions, reached states that corresponded neither to the representation of either odor alone nor to the static mixture of the two. We then recorded from Kenyon cells (KCs), the PNs{\textquoteright} targets. Their responses were consistent with the PN population{\textquoteright}s behavior: in some conditions, KCs were recruited that did not fire during single-odor or mixture stimuli. Thus, PN population dynamics are history dependent, and responses of individual KCs are consistent with piecewise temporal decoding of PN output over large sections of the PN population.

}, keywords = {Action Potentials, Afferent, Afferent Pathways, Animals, Chemical, Discrimination (Psychology), Locusta migratoria, Male, Neural Inhibition, Neurons, Odors, Reaction Time, Sense Organs, Stimulation, Time Factors}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.07.018}, author = {Broome, Bede M and Jayaraman, Vivek and Laurent, Gilles} }