Routing in the brain

By Daniel J. Graham. 2014

27 citations recorded by the source corpus.

As mapping the genome was the great biological challenge a generation ago, so today is mapping brain network dynamics, thanks in part to President Obama's BRAIN initiative (Insel et al., 2013). Factors influencing the emergence of network dynamics, both in the brain and in other networks, can be roughly divided into three classes: those pertaining to node dynamics; those pertaining to topology (connectivity); and those pertaining to routing (how signals are passed across the network). But while single neuron dynamics are reasonably well understood, and while researchers have begun to elucidate key aspects of network topology in brains, very little work has been devoted to possible routing schemes in the brain (Graham and Rockmore, 2011). Indeed, brain networks must possess a systematic routing scheme, but current methods and models often make implicit assumptions about routing—or ignore it altogether.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Bratislav Misic
2. Andrea Avena-Koenigsberger
3. Tomer D. Ullman
4. Josh Tenenbaum
5. Samuel J. Gershman
6. Olaf Sporns
7. Brenden M. Lake
8. D. Bassett

In Electrical and Electronic Engineering

1. Olaf Sporns
2. Josh Tenenbaum
3. Samuel J. Gershman
4. Brenden M. Lake

In Neuroscience

1. Andrea Avena-Koenigsberger
2. Olaf Sporns
3. Josh Tenenbaum
4. Samuel J. Gershman
5. Brenden M. Lake
6. Bratislav Misic
7. Tomer D. Ullman
8. Ramitha Sundar

Citations in the corpus

• What can the brain teach us about building artificial intelligence? (2016, background): “We should consider that one of the missing components in deep learning models of cognition— and of most large-scale models of brain and cognitive function—is understanding of how signals are selectively routed to different destinations in brains (Graham and Rockmore, 2011; Graham 2014).”
• Communication dynamics in complex brain networks (2017, background): “A corollary is that the load of information flow on edges that comprise the shortest paths is disproportionately large, resulting in non-resilient communication that is prone to bottlenecks 53 and vulnerable to delays, loss of information and failure owing to damage 54,55 .”