A new algorithm, called seqNMF, can detect sequences in neural data generated by 'internal behaviors,' such as an animal thinking or sleeping.
Elegant new research predicts how minor changes in connectivity can drive major changes in how a circuit behaves.
Small, single-track conferences expose scientists to research outside their comfort zone, which can invigorate them in unexpected ways.
Rather than create new neural activity patterns, the brain repurposes old ones, suggesting that short-term learning is more constrained than previously thought.
Check out these talks, tutorials and workshops featuring investigators from the Simons Collaboration on the Global Brain.