Recent experiments in neuroscience suggest that cortical networks at many scales may be operating near a critical point, much like that seen in a second-order phase transition. In this talk I will review experimental data from several labs, including ours, which suggest this. I will also explain why information transmission, information storage and computational power are all expected to peak at the critical point in neural networks.
Flocking - the collective motion of large numbers of organisms or other self-propelled entities - exhibits a number of strange and baffling phenomena. Indeed, its very existence in two dimensions would appear to violate a fundamental theorem of statistical mechanics, while in any spatial dimension, flocks exhibit giant number fluctuations far in excess of those predicted by the "law of large numbers" of statistics.
Harvard University Bauer Fellow