Slow, low-dimensional dynamics in balanced networks with partially symmetric connectivity
Xiaoyu Yang, Giancarlo La Camera, Gianluigi Mongillo · COSYNE 2023
Cortical dynamics are slow and low dimensional. Relaxation, as measured for instance by the auto-correlation of the spike counts, can be slow (~seconds) compared to single neurons and synapses’ time constants (~hundreds of milliseconds). Moreover, spiking activity is coordinated across neural circuits despite weak, zero-lag cross-correlations between pairs of neurons. Thus, neural circuit dynamics can be described by a small number of collective variables compared to the number of neurons. By which mechanism(s) do slow and low-dimensional dynamics arise in cortical networks, and how are they r
Sat, Mar 11, 2023