activity
20172021
most citedNeuromatch Academy: Teaching Computational Neuroscience with global accessibility

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2021

Quantitative relations among causality measures with applications to nonlinear pulse-output network reconstruction

Zhong-qi K. Tian, Kai Chen, Songting Li +2

The causal connectivity of a network is often inferred to understand the network function. It is arguably acknowledged that the inferred causal connectivity relies on causality mea…

q-bio.OT20201 cited

Neuromatch Academy: Teaching Computational Neuroscience with global accessibility

Tara van Viegen, Athena Akrami, Kate Bonnen +32

Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or fl…

q-bio.NC2017

Emergence of a Balanced Core through Dynamical Competition in Heterogeneous Neuronal Networks

Qing-long L. Gu, Songting Li, Wei P. Dai +2

The balance between excitation and inhibition is crucial for neuronal computation. It is observed that the balanced state of neuronal networks exists in many experiments, yet its u…

q-bio.NC2017

A New Framework for Determination of Excitatory and Inhibitory Conductances Using Somatic Clamp

Songting Li, Xiaohui Zhang, Douglas Zhou +1

The interaction between excitation and inhibition is crucial for brain computation. To understand synaptic mechanisms underlying brain function, it is important to separate excitat…

q-bio.NC2017

Determination of Effective Synaptic Conductances Using Somatic Voltage Clamp

Songting Li, Nan Liu, Xiaohui Zhang +2

The interplay between excitatory and inhibitory neurons imparts rich functions of the brain. To understand the underlying synaptic mechanisms, a fundamental approach is to study th…