1 citations · 3 across the 10 of their papers we have counts for
10 papers
Network structural change point detection and reconstruction for balanced neuronal networks
Kai Chen, Mingzhang Wang, Songting Li +1
Understanding brain dynamics and functions critically depends on knowledge of the network connectivity among neurons. However, the complexity of brain structural connectivity, coup…
Overcoming the Curse of Dimensionality: Structural Connectivity Reconstruction via Pairwise Information Flow in Nonlinear Networks
Kai Chen, Zhong-qi K. Tian, Yifei Chen +3
Inferring structural connectivity from observed dynamics remains a fundamental open problem in complex systems, particularly for nonlinear networks where direct measurements are un…
A Generalized Spiking Locally Competitive Algorithm for Multiple Optimization Problems
Xuexing Du, Zhong-qi K. Tian, Songting Li +1
We introduce a generalized Spiking Locally Competitive Algorithm (LCA) that is biologically plausible and exhibits adaptability to a large variety of neuron models and network conn…
Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones
Chongming Liu, Songting Li, Douglas Zhou
Incorporating biological neuronal properties into Artificial Neural Networks (ANNs) to enhance computational capabilities poses a formidable challenge in the field of machine learn…
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network
Jingyang Ma, Songting Li, Douglas Zhou
Dendrites are crucial structures for computation of an individual neuron. It has been shown that the dynamics of a biological neuron with dendrites can be approximated by artificia…
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…
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…
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…
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…
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…