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Haesemeyer, M.

Publications and source records attributed to Haesemeyer, M..

3 recordsLinked to original sources

Distributed plasticity drives visual habituation learning in larval zebrafish

Habituation is a simple form of learning, where animals learn to reduce their responses to repeated innocuous stimuli. While habituation is simple in concept, its exact implementation in the vertebrate brain is not clear. It could occur via a single plasticity event at a singular site in the circuit, or alternatively via more complex strategies that combine multiple mechanisms at various processing stages and sites. Here, we use a visual habituation assay in larval zebrafish, where larvae habituate to sudden reductions in illumination (dark flashes). We find that 8 different components of this response habituate, including the probability of executing a response, its latency, and measures of its magnitude. Through behavioural analyses, we find that habituation of these different behavioural components occurs independently of each other and at different locations in the circuit. Further, we use genetic and pharmacological manipulations to show that habituation of different behavioural components are molecularly distinct. These results are consistent with a model by which visual habituation originates from the combination of multiple independent processes, which each act to adapt specific components of behaviour. This may allow animals to more specifically habituate behaviour based on stimulus context or internal state.

neuroscience

Convergent temperature representations in artificial and biological neural networks

While discoveries in biological neural networks (BNN) shaped artificial neural networks (ANN) it is unclear if representations and algorithms are shared between ANNs and BNNs performing similar tasks. Here, we designed and trained an ANN to perform heat gradient navigation and found striking similarities in computation and heat representation to a known zebrafish BNN. This included shared ON and OFF type representations of absolute temperature and rates of change. Importantly, ANN function critically relied on zebrafish like units. We could furthermore use the accessibility of the ANN to discover a new temperature responsive cell type in the zebrafish cerebellum. Finally, our approach generalized since training the same ANN constrained by the C. elegans motor repertoire resulted in distinct neural representations matching features observed in the worm. Together, these results emphasize convergence of ANNs and BNNs on canonical representations and that ANNs form a powerful tool to understand their biological counterparts.

neuroscience

A brain wide circuit model of heat evoked swimming behavior in larval zebrafish

Thermosensation provides crucial information but it is poorly understood how temperature representation is transformed from sensation to behavior. Here, we report a preparation that allows control of heat delivery to zebrafish larvae while monitoring motor output and imaging whole-brain calcium signals, thereby uncovering algorithmic and computational rules that couple dynamics of heat modulation, neural activity and swimming behavior. This approach identifies a critical step in the transformation of temperature representation between the sensory trigeminal ganglia and the hindbrain: A simple sustained trigeminal stimulus representation is transformed into a representation of absolute temperature as well as temperature changes in the hindbrain that explains the observed motor output. An activity constrained dynamic circuit model captures the most prominent aspects of these sensori-motor transformations and predicts both behavior and neural activity in response to novel heat stimuli. These findings provide the first algorithmic description of heat processing from sensory input to behavioral output.

neuroscience