AIMC Topic: Neurons

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Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2016
This paper addresses the multistability for a general class of recurrent neural networks with time-varying delays. Without assuming the linearity or monotonicity of the activation functions, several new sufficient conditions are obtained to ensure th...
Time Factors Neurons Algorithms Computer Simulation Neural Networks, Computer
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Effect of network architecture on burst and spike synchronization in a scale-free network of bursting neurons.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2016
We investigate the effect of network architecture on burst and spike synchronization in a directed scale-free network (SFN) of bursting neurons, evolved via two independent α- and β-processes. The α-process corresponds to a directed version of the Ba...
Humans Neural Networks, Computer Animals Neurons Models, Neurological Probability Action Potentials Nerve Net
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An ultra-low-voltage electronic implementation of inertial neuron model with nonmonotonous Liao's activation function.

Network (Bristol, England) Mar 30, 2016
The output of every neuron in neural network is specified by the employed activation function (AF) and therefore forms the heart of neural networks. As far as the design of artificial neural networks (ANNs) is concerned, hardware approach is preferre...
Electronics Neural Networks, Computer Neurons Models, Neurological Semiconductors
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Can Lionel Messi's brain slow down time passing?

Chronobiology international Mar 24, 2016
It seems that seeing others in slow-motion by heroes does not belong only to movies. When Lionel Messi plays football, you can hardly see anything from him that other players cannot do. Then why he is not stoppable really? It seems the answer may be ...
Neurons Humans Reaction Time Brain Circadian Rhythm Neural Networks, Computer Models, Theoretical
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Mechanisms of memory storage in a model perirhinal network.

Brain structure & function Mar 12, 2016
The perirhinal cortex supports recognition and associative memory. Prior unit recording studies revealed that recognition memory involves a reduced responsiveness of perirhinal cells to familiar stimuli whereas associative memory formation is linked ...
Neural Networks, Computer Animals Neuronal Plasticity Humans Interneurons Perirhinal Cortex Neurons Models, Neurological Memory Action Potentials
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Complex patterns arise through spontaneous symmetry breaking in dense homogeneous networks of neural oscillators.

Scientific reports Feb 26, 2016
There has been much interest in understanding collective dynamics in networks of brain regions due to their role in behavior and cognitive function. Here we show that a simple, homogeneous system of densely connected oscillators, representing the agg...
Biological Clocks Macaca Neural Networks, Computer Animals Neurons Brain
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Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model.

Frontiers in neural circuits Feb 26, 2016
Cerebral vascular dynamics are generally thought to be controlled by neural activity in a unidirectional fashion. However, both computational modeling and experimental evidence point to the feedback effects of vascular dynamics on neural activity. Va...
Vasomotor System Nonlinear Dynamics Humans Neurovascular Coupling Animals Models, Neurological Neurons Neural Networks, Computer Computer Simulation
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Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.

PloS one Feb 22, 2016
The Semantic Pointer Architecture (SPA) is a proposal of specifying the computations and architectural elements needed to account for cognitive functions. By means of the Neural Engineering Framework (NEF) this proposal can be realized in a spiking n...
Algorithms Action Potentials Probability Neural Networks, Computer Neurons Semantics
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Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality.

Neural computation Feb 18, 2016
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
CA1 Region, Hippocampal Electric Stimulation Neurons Nerve Net Biophysics Computer Simulation Animals Models, Neurological Action Potentials Time Factors Humans Neural Networks, Computer
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Low-dimensional dynamics of structured random networks.

Physical review. E Feb 5, 2016
Using a generalized random recurrent neural network model, and by extending our recently developed mean-field approach [J. Aljadeff, M. Stern, and T. Sharpee, Phys. Rev. Lett. 114, 088101 (2015)], we study the relationship between the network connect...
Ecological and Environmental Phenomena Synapses Neural Networks, Computer Stochastic Processes Neurons
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