To regenerate and investigate these patterns, we have proposed three large scale brain network models (BNMS) by linking the neural mass model (NMM) of Stefanescu-Jirsa 2D (S-J 2D) with our own structural connectivity derived from the realistic biological data, so called, large-scale connectivi...
scale brain networks. Here, we report the development of dynamic input–output models that predict multiregional dynamics of brain networks in response to temporally varying patterns of ongoing microstimulation. In experiments with two awake rhesus macaques, we show that the activities of brain networks...
scale brain networks. Specifically, large-scale brain networks, such as the Dorsal Attention Network (DAN) and Default Network (DN), were linked to the error and perturbed state. We also have preliminary evidence linking the encoding strength and functional connectivity of these networks back to s...
Large-Scale Brain Network CouplingLarge-Scale Brain Network CouplingHumansBrainNerve NetSubstance Withdrawal SyndromeTobacco Use DisorderNicotineSmoking CessationMotivationCognition DisordersNeuropsychological TestsAuthor information: (1)Semel Institute ...
attention. The challenge of this modeling task is mainly caused by the complex interconnection of sub-systems in large-scale dynamic networks. This makes the classical approaches for data-driven modeling, originally designed for small-scale systems, inadequate for modeling large-scale dynamic networks....
In this paper we present FNS, a LIFL-based exact event-driven spiking neural network framework implemented in Java and oriented to wholebrain simulations. FNS combines spiking/synaptic whole-brain modelling with the event-driven approach, allowing us to define heterogeneous modules and multi-scale ...
Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses but also how long it takes to instantiate the network model in computer memory. On the hardware side, acceleration via highly parallel...
Simulator optimized for large scale neural network simulations. - GitHub - BlueBrain/CoreNeuron: Simulator optimized for large scale neural network simulations.
An image recall system using a large scale associative memory employing the generalized Brain-State-in-a-Box (gBSB) neural network model is proposed. The gBSB neural network can store binary vectors as stable equilibrium points. This property is used to store images in the gBSB memory. When...
The brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of ...