2
propagate weak signals (Parga). The experimental studies of Sanchez-Vives and Deco on
spontaneous and driven global brain activity are supported by whole-brain modeling that
make predictions about response to perturbation. At a more local scale, Yuste’s work has
demonstrated that cortical activity patterns can act as attractors and be dynamically created
by optogenetic inputs. Several theoretical approaches to network analysis were presented
that may provide important tools to understand these observed activity patterns, including
Buldú’s analysis of dynamics and synchronization in complex networks and Makse’s
application of percolation theory to discover key network nodes. Bielza’s work on graphical
Bayesian models has already found applications in collaborations with de Felipe’s
anatomical studies of dendritic branching patterns and would be a natural approach to
analyse large-scale EM structural data. Several groups’ work elucidates the identification
(de Felipe) and computational role (Geffen, Sanchez-Vives, Yuste) of different neuron types.
The climate for extending the reach of interdisciplinary approaches is fertile.
Multidisciplinary approaches are well-accepted and broadly under way in this field in Spain,
as the speakers’ range of existing local and international collaborations demonstrated.
However, it is not yet the case that personnel undertaking theoretical and analytical
approaches are typically incorporated into neuroscience groups or departments, as has
become more common in the US. For example, there is currently no theoretical/analytical
group at the Cajal Institute, a major neuroscience center in Madrid, although a number of
members do collaborate with theoretical colleagues at other institutes. In terms of academic
culture, it was noted that research in the domain of computational neuroscience is generally
better supported in Spanish computer science departments, with particular strengths in
network analysis, than in physics departments which remain fairly traditional. In general,
the area has gotten more traction in newer departments rather than more long-established
ones. Working across departmental boundaries within institutions remains a barrier, so
that currently there is not as much interaction between theoretical and experimental
groups as is desirable.
Domains that would particularly benefit from the CRCNS program include data science and
machine learning, which is growing in popularity among students and researchers in Spain
as in the US and is an opportunity for recruitment and training of students in this area.
Brain-computer interfaces (BCI) are also an area of active student interest, particularly
noninvasive BCIs. Neurotechnology, including BCIs, is relatively nascent in Spain and could
be significantly enhanced through international collaboration.
Within Spain, there is specific interest in and room for further growth in computational
neuroscience and neural engineering. Dr Rafael Yuste noted plans for invited visits to
several institutions in the Basque Country in early 2018, including the Brain Center on
Cognition, Brain and Language, Nanogune, Biofisika, BioDonostia and the Donostia
International Physics Center (DIPC) to give a lecture course in neurophysics. It is possible
that interactions like this will lead to a new short course in neuroengineering. Further,
industrial and medical collaborations are possible: Dr Jose Carmena discussed experiences
from his existing collaboration with the Hospital Universitario Donostia in San Sebastiàn
that is hosted and partially funded by Tecnalia, a local industry incubator.
3
3
https://www.tecnalia.com/en/