AIMC Topic: Models, Neurological

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Decentralized Multisensory Information Integration in Neural Systems.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 13, 2016
UNLABELLED: How multiple sensory cues are integrated in neural circuitry remains a challenge. The common hypothesis is that information integration might be accomplished in a dedicated multisensory integration area receiving feedforward inputs from t...
Humans Models, Neurological Bayes Theorem Neurons Computer Simulation Animals Neural Networks, Computer Neural Pathways Sensation Electronic Data Processing
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The importance of imagination (or lack thereof) in artificial, human and quantum decision making.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 13, 2016
Enlarging upon experiments and analysis that I did jointly some years ago, in which artificial (symbolic, neural-net and pattern) learning and generalization were compared with that of humans, I will emphasize the role of imagination (or lack thereof...
Quantum Theory Decision Support Techniques Imagination Decision Making Computer Simulation Humans Models, Neurological Models, Statistical Machine Learning
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New fundamental evidence of non-classical structure in the combination of natural concepts.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 13, 2016
We recently performed cognitive experiments on conjunctions and negations of two concepts with the aim of investigating the combination problem of concepts. Our experiments confirmed the deviations (conceptual vagueness, underextension, overextension...
Humans Computer Simulation Cognition Quantum Theory Thinking Concept Formation Models, Neurological Models, Statistical Fuzzy Logic
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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 Dec 1, 2015
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...
Neurons Computer Simulation Synaptic Transmission Models, Neurological Humans Action Potentials Neural Networks, Computer
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Framework for single input single output nanonetwork-based realistic molecular communication.

IET nanobiotechnology Dec 1, 2015
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...
Computers, Molecular Neurotransmitter Agents Nerve Net Synaptic Transmission Nanoparticles Models, Neurological Neurons Biomimetic Materials Action Potentials Humans Neural Networks, Computer Animals
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A Lognormal Recurrent Network Model for Burst Generation during Hippocampal Sharp Waves.

The Journal of neuroscience : the official journal of the Society for Neuroscience Oct 28, 2015
The strength of cortical synapses distributes lognormally, with a long tail of strong synapses. Various properties of neuronal activity, such as the average firing rates of neurons, the rate and magnitude of spike bursts, the magnitude of population ...
Humans Algorithms Computer Simulation Neural Networks, Computer Adaptation, Physiological Synapses CA3 Region, Hippocampal Pyramidal Cells Models, Neurological Hippocampus Electrophysiological Phenomena Action Potentials CA1 Region, Hippocampal
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HFirst: A Temporal Approach to Object Recognition.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2015
This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired asynchronous address event representation (AER) vision sensors. The asyn...
Models, Neurological Pattern Recognition, Automated Neural Networks, Computer Algorithms
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A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Sep 16, 2015
UNLABELLED: Many actions performed by animals and humans depend on an ability to learn, estimate, and produce temporal intervals of behavioral relevance. Exemplifying such learning of cued expectancies is the observation of reward-timing activity in ...
Reinforcement, Psychology Models, Neurological Computer Simulation Neural Networks, Computer Animals Nerve Net Learning Neuronal Plasticity Synaptic Transmission Neurons Reward Visual Cortex Membrane Potentials
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Implementation of Arithmetic Operations With Time-Free Spiking Neural P Systems.

IEEE transactions on nanobioscience Sep 1, 2015
Spiking neural P systems (SN P systems) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In most applications of SN P systems, synchronization plays a key role which means the executi...
Action Potentials Neural Networks, Computer Models, Neurological
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Passivity and Synchronization of Linearly Coupled Reaction-Diffusion Neural Networks With Adaptive Coupling.

IEEE transactions on cybernetics Sep 1, 2015
In this paper, we study a general array model of coupled reaction-diffusion neural networks (NNs) with adaptive coupling. In order to ensure the passivity of the coupled reaction-diffusion neural networks, some adaptive strategies to tune the couplin...
Cortical Synchronization Neural Networks, Computer Models, Neurological
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