Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons

By Srdjan Ostojic. Nature Neuroscience, 2014

312 citations recorded by the source corpus.

How researchers see this paper

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

Correlations and Neuronal Population Information (2016, background): “Strengthening the coupling between randomly connected neurons can also result in transitions from the asynchronous state to complex network activity with strong cofluctuations (Ostojic 2014).”
Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks. (2017, unknown): “Recent works have investigated extensions of the abstract model used here to networks with biophysical constraints (Ostojic, 2014; Kadmon and Sompolinsky, 2015; Harish and Hansel, 2015; Mastrogiuseppe and Ostojic, 2017; Thalmeier et al., 2016).”
At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters (2015, background): “Theoretical investigations of RNNs, both from within the reservoir-computing framework [23–25] and outside it [26,29,30,68,69] suggest that, in very broad terms, the outputs of networks with weak recurrent connections tend to reproduce the temporal structure of their input, whereas when the recurren”