AIMC Topic: Nerve Net

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Nano-topography Enhances Communication in Neural Cells Networks.

Scientific reports
Neural cells are the smallest building blocks of the central and peripheral nervous systems. Information in neural networks and cell-substrate interactions have been heretofore studied separately. Understanding whether surface nano-topography can dir...

Statistical complexity is maximized in a small-world brain.

PloS one
In this paper, we study a network of Izhikevich neurons to explore what it means for a brain to be at the edge of chaos. To do so, we first constructed the phase diagram of a single Izhikevich excitatory neuron, and identified a small region of the p...

Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.

NeuroImage
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection...

Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...

Efficiency of rate and latency coding with respect to metabolic cost and time.

Bio Systems
Recent studies on the theoretical performance of latency and rate code in single neurons have revealed that the ultimate accuracy is affected in a nontrivial way by aspects such as the level of spontaneous activity of presynaptic neurons, amount of n...

Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...

Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy.

PloS one
PURPOSE: Disease staging involves the assessment of disease severity or progression and is used for treatment selection. In diabetic retinopathy, disease staging using a wide area is more desirable than that using a limited area. We investigated if d...

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

IEEE transactions on bio-medical engineering
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simult...

Neuromorphic device architectures with global connectivity through electrolyte gating.

Nature communications
Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the same time, neurons are immersed in a common electrochemical environment, and global parameters such as...

Tonic regulation of stationary asynchronous firing of a neural network.

Journal of computational neuroscience
The impact of tonic conductance upon population activity was investigated. An extra tonic transmembrane current through GABA-activated extrasynaptic GABA -receptors was found to control stationary asynchronous firing both quantitatively and qualitat...