AIMC Topic: Neural Networks, Computer

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[Hardware Implementation of Numerical Simulation Function of Hodgkin-Huxley Model Neurons Action Potential Based on Field Programmable Gate Array].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Neuron is the basic unit of the biological neural system. The Hodgkin-Huxley (HH) model is one of the most realistic neuron models on the electrophysiological characteristic description of neuron. Hardware implementation of neuron could provide new r...

A New Method for the Determination of Potassium Sorbate Combining Fluorescence Spectra Method with PSO-BP Neural Network.

Guang pu xue yu guang pu fen xi = Guang pu
In this paper, fluorescence spectra properties of potassium sorbate in aqueous solution and orange juice are studied, and the result.shows that in two solution there are many difference in fluorescence spectra of potassium sorbate, but the fluorescen...

Framework for single input single output nanonetwork-based realistic molecular communication.

IET nanobiotechnology
Mobile ad hoc molecular nanonetwork (MAMNET) is a new paradigm for the realisation of future nanonetworks. In MAMNET, transmission of nanoscale information from nanomachine to infostation is based on collision and adhesion. In this study, the authors...

Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach.

IEEE transactions on neural networks and learning systems
This paper studies the global pinning synchronization problem for a class of complex networks with switching directed topologies. The common assumption in the existing related literature that each possible network topology contains a directed spannin...

Neural Network Analysis of Different Segmentation Strategies of Nerve Fiber Layer Assessment for Glaucoma Diagnosis.

Journal of glaucoma
PURPOSE: To compare the diagnostic performance of different segmentations of the nerve fiber layer (NFL) thickness measurements using an artificial neural network and to define the optimal number of sectors with best diagnostic ability for glaucoma d...

Electrical and Optical Activation of Mesoscale Neural Circuits with Implications for Coding.

The Journal of neuroscience : the official journal of the Society for Neuroscience
UNLABELLED: Artificial activation of neural circuitry through electrical microstimulation and optogenetic techniques is important for both scientific discovery of circuit function and for engineered approaches to alleviate various disorders of the ne...

Resonant Interneurons Can Increase Robustness of Gamma Oscillations.

The Journal of neuroscience : the official journal of the Society for Neuroscience
UNLABELLED: Gamma oscillations are believed to play a critical role in in information processing, encoding, and retrieval. Inhibitory interneuronal network gamma (ING) oscillations may arise from a coupled oscillator mechanism in which individual neu...

Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...

Potential Mechanisms Underlying Intercortical Signal Regulation via Cholinergic Neuromodulators.

The Journal of neuroscience : the official journal of the Society for Neuroscience
UNLABELLED: The dynamical behavior of the cortex is extremely complex, with different areas and even different layers of a cortical column displaying different temporal patterns. A major open question is how the signals from different layers and diff...

Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.