F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Mol Cell. 2021 Feb 18;81(4):675-690.e8. doi: 10.1016/j.molcel.2020.12.029. Epub 2021 Jan 15.
Neural network computations are usually assumed to emerge from patterns of fast electrical activity. Challenging this view, we show that a male fly's decision to persist in mating hinges on a biochemical computation that enables processing over minutes to hours. Each neuron in a recurrent network contains slightly different internal molecular estimates of mating progress. Protein kinase A (PKA) activity contrasts this internal measurement with input from the other neurons to represent accumulated evidence that the goal of the network has been achieved. When consensus is reached, PKA pushes the network toward a large-scale and synchronized burst of calcium influx that we call an eruption. Eruptions transform continuous deliberation within the network into an all-or-nothing output, after which the male will no longer sacrifice his life to continue mating. Here, biochemical activity, invisible to most large-scale recording techniques, is the key computational currency directing behavior and motivational state.
神经网络计算通常被认为是由快速电活动模式产生的。为了挑战这一观点，我们发现，雄蝇是否坚持交配取决于一种生化计算，这种计算使处理时间能够延长到数分钟到数小时。在一个递归网络中的每个神经元都包含略有不同的内部分子估计交配进展。蛋白激酶 A (PKA) 的活性将这种内部测量与来自其他神经元的输入进行对比，以代表积累的证据，表明网络的目标已经实现。当达成共识时，PKA 会促使网络产生大规模的、同步的钙内流爆发，我们称之为喷发。喷发将网络内的连续审议转化为全有或全无的输出，之后，雄性将不再牺牲生命继续交配。在这里，生化活性是指导行为和动机状态的关键计算货币，这对大多数大规模记录技术来说是不可见的。
