Intrinsic bursting is a more specialized phenomenon and is believed to play a much more diverse role in neural computation. WikipediaIn order for animal to survive in natural environment the animal’s brain mus
2.2. Data preprocessing Data preprocessing was performed using the Connectome Computation System (CCS: http://lfcd.psych.ac.cn/ccs.html) (Zuo et al., 2013). The CCS provides a common platform for brain connectome analysis by integrating the functionality of AFNI, FSL and Freesurfer. The prepro...
Recent advances in network science has allowed new insights in the brain organization from a system perspective. Characterizing brain networks, or connectomes, estimated from neuroimaging data as graphs of connected nodes has not only pointed out important network features of brain functioning - such as...
The recent confluence of network science, modern network modeling, advanced computation paradigms, and developments in neurophysiological technologies has shed light on new ways of studying complex in- tracortical interactions. This field of study is commonly known as brain connectivity or Brain Sci. ...
Categorical neural responses underlie various forms of selection and decision-making. Such binary-like responses promote robust signaling of the winner in the presence of input ambiguity and neural noise. Here, we show that a ‘donut-like’ inhibitory me
Investigating functional brain networks and patterns using sparse representation of fMRI data has received significant interests in the neuroimaging commun
Recent empirical observations suggest that brain network structure modulates the computation, dynamics, and causal interactions of regional neurons in distinctive ways1–10. Neural activity in hub regions with relatively high connectivity is slower and has more stable dynamics, whereas peripheral regions ...
Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication Neural Comput., 9 (1997), pp. 305-318, 10.1162/neco.1997.9.2.305 View in ScopusGoogle Scholar 48 W. Gerstner, W.M. Kistler Spiking Neuron Models: Single Neurons, Populations, Plasticity Cambridge univers...
The advent of CNNs in this domain marks a paradigm shift, allowing for the automatic extraction of complex features from MRI data. By employing a sequential architecture encompassing convolutional, max-pooling, and dropout layers, CNNs can autonomously learn and identify subtle patterns indicative of...
For a nodev, an edgeeand a cycle\(\mathscr {C}\), let the notations\(v \sim e\)and\(e \sim \mathscr {C}\)indicate thatvis an end-point ofeandeis an edge of\(\mathscr {C}\), respectively. The basic formula of the 2-complex based orderdForman–Ricci curvature of an edge\...