Neuroscience has known quite much about how the brain learns and recognizes spatial patterns, but there is little knowledge about temporal patterns, sequences. We are running some toy models to explore how timing-dependent-plasticity rules can lead to the learning of the temporal patterns. This is still in initial stages [see 1, 2].
Mohammad Danesh is engaged in this project.
References [1] Buonomano, Dean V., and Wolfgang Maass. "State-dependent computations: spatiotemporal processing in cortical networks." Nature Reviews Neuroscience 10, no. 2 (2009): 113.
[2] Masquelier, Timothée. "STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons." Neuroscience 389 (2018): 133-140.
