Reacción a "Reactions: first whole-brain connectome of an insect brain obtained"

This study is an exceptional tour de force in which the authors describe the map of nerve connections in the vinegar fly larva. This map has been determined in simpler animals with fewer neurons, such as the famous worm C. elegans. This has a few hundred neurons and its map of connections has long been known.  

The work now published determines the connection map of more than 3,000 neurons that establish more than half a million contacts. It is not only a quantitative leap, but also a qualitative one, because nothing in the nervous system is linear. I think it is a fantastic piece of work that has taken many years to develop and that can be tremendously useful for understanding sophisticated principles of neural integration and computational rules that can be decisive in the progress of multiple aspects that are so fashionable today, such as artificial intelligence and deep learning.      

Many neuroscientists believe that we cannot understand our brains without knowing exactly how they are organised. This is a widespread belief that was expressed by Cajal more than 100 years ago. Determining neural connectivity, i.e. how the neural circuits are constructed, which neuron contacts which neuron, how often, is like drawing up a road map of a country, showing where there are motorways and where there are local roads. Only from such an examination can one infer what the social and economic relations are between the different population centres and regions. From examining this map of neural connections, now revealed to us, one can infer how the architecture of a circuit determines the generation of specific behaviours.  

For example, one of the findings of this work is that there appears to be very profuse and frequent recurrent innervation in those circuits known to be involved in learning. This gives clues as to how nature organises neuronal elements with loops to make possible that marvellous function that is learning. Or, in other words, the existence of the organisation now revealed endows the system with the capacity to store information. Continuing with the example above, we will understand what we can learn from this organisation to improve the structure of machines and the learning algorithms and artificial intelligence they can use. 

Naturally, this map reveals how the nervous system of a fly larva is organised, which at this level of development is similar to a worm, but with a higher level of complexity. But these larvae develop complex behaviours, interact, consult and explore the environment, learn and perform complex motor behaviours such as foraging, and so on. Naturally they are far from typical human behaviours, but history shows that general principles are just that, general, and studies in lower animals have shown us how the human brain works as well. For example, the mechanism by which a nerve impulse is generated and transmitted along a human nerve is exactly the same as in the nerve of a squid, a fly or a mouse. In fact, it was in the squid that all these mechanisms were discovered.