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Thornquist, S. C.

Publications and source records attributed to Thornquist, S. C..

2 recordsLinked to original sources

Biochemical computation underlying behavioral decision-making

Computations in the brain are broadly assumed to emerge from patterns of fast electrical activity. Challenging this view, we show that a male flys decision to persist in mating, even through a potentially lethal threat, hinges on biochemical computations that enable processing over minutes to hours. Each neuron in a recurrent network measuring time into mating contains slightly different internal molecular estimates of elapsed time. Protein Kinase A (PKA) activity contrasts this internal measurement with input from the other neurons to represent evidence that the networks goal has been achieved. When consensus is reached, PKA pushes the network toward a large-scale and synchronized burst of calcium influx, which we call an eruption. The eruption functions like an action potential at the level of the network, transforming deliberation within the network into an all-or-nothing output, after which the male will no longer sacrifice his life to continue mating. We detail the continuous transformation between interwoven molecular and electrical information over long timescales in this system, showing how biochemical activity, invisible to most large scale recording techniques, is the key computational currency directing a life-or-death decision.

neuroscience

Behavioural choice emerges from nonlinear all-to-all interactions between drives

Under the right conditions any drive can overcome nearly any other, yet studies of behavioural selection predominantly focus on only one, or occasionally two behaviours. We present an experimental and computational framework that captures and explains the resolution of conflicts between several competing motivations. We characterize neurons that integrate information from all rival drives to generate an aggregate signal that urges male Drosophila to transition out of mating. Experimental investigation of these Drive Integrating Neurons (DINs) revealed time-varying, supralinear interactions among competing drives that stimulate the DINs and induce a change in behaviour. Extending these findings to model the interactions between all of an animals motivations led to the surprising prediction that, under many conditions, all-to-all interactions actually buffer the dominant drive against challengers. We experimentally validated this prediction, showing that weak drives for a variety of tertiary goals can have a profound stabilizing effect on the ongoing behaviour. These results emerge only if non-linear integration of other motivations occurs for each of an animals drives, suggesting the potential universality of this mechanism. Our findings emphasize the interconnectedness of motivational systems and the consequent importance of considering the full motivational state of an animal to understand its behaviour.

neuroscience