AIMC Topic: Neurons

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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.) Mar 4, 2016
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...
Supervised Machine Learning Neurons Concept Formation Models, Neurological Unsupervised Machine Learning Reinforcement, Psychology Formative Feedback Membrane Potentials Humans Brain Neural Networks, Computer Learning Speech
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Building functional networks of spiking model neurons.

Nature neuroscience Mar 1, 2016
Most of the networks used by computer scientists and many of those studied by modelers in neuroscience represent unit activities as continuous variables. Neurons, however, communicate primarily through discontinuous spiking. We review methods for tra...
Neural Networks, Computer Action Potentials Neurons
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Goal-Directed Decision Making with Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience Feb 3, 2016
UNLABELLED: Behavioral and neuroscientific data on reward-based decision making point to a fundamental distinction between habitual and goal-directed action selection. The formation of habits, which requires simple updating of cached values, has been...
Neural Networks, Computer Animals Rats Choice Behavior Neurons Action Potentials Goals Decision Making Reinforcement, Psychology
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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...
Models, Neurological Bayes Theorem Neurons Computer Simulation Animals Sensation Electronic Data Processing Neural Pathways Humans 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 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 Synaptic Transmission Computer Simulation Humans Models, Neurological Neural Networks, Computer Action Potentials
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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...
Nerve Net Synaptic Transmission Computers, Molecular Neurotransmitter Agents Action Potentials Humans Neurons Neural Networks, Computer Biomimetic Materials Animals Nanoparticles Models, Neurological
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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 ...
Neural Networks, Computer Computer Simulation Learning Animals Neuronal Plasticity Reinforcement, Psychology Visual Cortex Membrane Potentials Reward Nerve Net Synaptic Transmission Models, Neurological Neurons
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Using Grid Cells for Navigation.

Neuron Aug 5, 2015
Mammals are able to navigate to hidden goal locations by direct routes that may traverse previously unvisited terrain. Empirical evidence suggests that this "vector navigation" relies on an internal representation of space provided by the hippocampal...
Orientation Animals Neurons Hippocampus Humans Neural Networks, Computer
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Searching arousals: A fuzzy logic approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
This paper presents a computational approach to detect spontaneous, chin tension and limb movement-related arousals by estimating neuronal and muscular activity. Features extraction is carried out by Time Varying Autoregressive Moving Average (TVARMA...
Neurons Fuzzy Logic Movement Arousal
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Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 15, 2015
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....
Neurons Synapses Biophysical Phenomena Nerve Net Models, Neurological Neural Networks, Computer Biophysics Action Potentials Computer Simulation Animals
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