Biochemical computation underlying behavioral decision-making
Thornquist, S. C.; Pitsch, M. J.; Auth, C. S.; Crickmore, M. A.
Show abstract
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.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Distributed control of motor circuits for backward walking in Drosophila 97%
- A Cryptochrome adopts distinct moon- and sunlight states and functions as moonlight interpreter in monthly oscillator entrainment 97%
- Neural pathways and computations that achieve stable contrast processing tuned to natural scenes 97%
Similar papers in this journal
- Neural circuit mechanisms for steering control in walking Drosophila 97%
- Compressed sensing based approach identifies modular neural circuitry driving learned pathogen avoidance 97%
- Combined patterns of activity of major neuronal classes underpin a global change in brain state during spontaneous and forced walk in Drosophila 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.