As discussed in the main text, there could be many ways to incorporate anatomical priors into our formulation. Here, we demonstrate one example--assuming that brain regions are sparsely connected, and therefore many blocks of the dynamics matrices will be zero. This can be implemented using a block-wise spike-and-slab prior on the dynamics matrices. A.1 Formulation We want a block-sparse prior for dynamics matrices. We break down this matrix into a B B set of blocks, where B is the number of neural populations.

The biological network is small and relatively well understood, and the silicon model can therefore span three levels of organization in the leech nervous system (neuron, ganglion, system); it represents one of the first comprehensive models of leech swimming operating in real-time. The circuit employs biophysically motivated analog neurons networked to form multiple biologically inspired silicon ganglia. These ganglia are coupled using known interganglionic connections. Thus the model retains the flavor of its biological counterpart, and though simplified, the output of the silicon circuit is similar to the output of the leech swim central pattern generator. The model operates on the same time- and spatial-scale as the leech nervous system and will provide an excellent platform with which to explore real-time adaptive locomotion in the leech and other "simple" invertebrate nervous systems.

With soft, slimy bodies that come in a rainbow of colours, sea slugs are some of the weirdest looking creatures in the ocean. But now scientists have used the strange marine invertebrates to help them build a new type of flexible cyborg robot. Using tough muscles taken from the mouths of sea slugs, engineers have combined them with 3D printed components to create what they are calling'biohybrid' robots. Engineers have created a'biohybrid' robot that uses the mouth muscles from the California sea slug. The muscle is attached to 3D printed body and legs (pictured), allowing the robot to crawl like a sea turtle pulling itself up the beach.

Sea slugs typically slither--a perfectly respectable way to get around--but recently a team of scientists saw additional locomotive potential in the odd-looking invertebrate. Specifically, they took a tiny muscle from the sea slug's mouth and used it to make a robot crawl. "We're building a living machine--a biohybrid robot that's not completely organic--yet," Victoria Webster, the PhD student who is leading the research, said in a statement. A sea slug might seem an unlikely source for robot parts. But according to the researchers, sea slugs are exceptionally tough creatures, and that toughness extends down to the cellular level.

The biological network is small and relatively well understood, and the silicon model can therefore span three levels of organization in the leech nervous system (neuron, ganglion, system); it represents one of the first comprehensive models of leech swimming operating in real-time. The circuit employs biophysically motivated analog neurons networked to form multiple biologically inspired silicon ganglia. These ganglia are coupled using known interganglionic connections. Thus the model retains the flavor of its biological counterpart, and though simplified, the output of the silicon circuit is similar to the output of the leech swim central pattern generator. The model operates on the same time-and spatial-scale as the leech nervous system and will provide an excellent platform with which to explore real-time adaptive locomotion in the leech and other "simple" invertebrate nervous systems.

The biological network is small and relatively well understood, and the silicon model can therefore span three levels of organization in the leech nervous system (neuron, ganglion, system); it represents one of the first comprehensive models of leech swimming operating in real-time. The circuit employs biophysically motivated analog neurons networked to form multiple biologically inspired silicon ganglia. These ganglia are coupled using known interganglionic connections. Thus the model retains the flavor of its biological counterpart, and though simplified, the output of the silicon circuit is similar to the output of the leech swim central pattern generator. The model operates on the same time-and spatial-scale as the leech nervous system and will provide an excellent platform with which to explore real-time adaptive locomotion in the leech and other "simple" invertebrate nervous systems.

The biological network is small and relatively well understood, and the silicon model can therefore span three levels of organization in the leech nervous system (neuron, ganglion, system); it represents one of the first comprehensive models of leech swimming operating in real-time. The circuit employs biophysically motivated analog neurons networked to form multiple biologically inspired silicon ganglia. These ganglia are coupled using known interganglionic connections. Thus the model retains the flavor of its biological counterpart, and though simplified, the output of the silicon circuit is similar to the output of the leech swim central pattern generator. The model operates on the same time-and spatial-scale as the leech nervous system and will provide an excellent platform with which to explore real-time adaptive locomotion in the leech and other "simple" invertebrate nervous systems.