AIMC Topic: Synaptic Transmission

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Global firing rate contrast enhancement in E/I neuronal networks by recurrent synchronized inhibition.

Chaos (Woodbury, N.Y.) Oct 1, 2018
Inhibitory synchronization is commonly observed and may play some important functional roles in excitatory/inhibitory (E/I) neuronal networks. The firing rate contrast enhancement is a general feature of information processing in sensory pathways, an...
Neurons Synapses Models, Neurological Action Potentials Humans Neural Inhibition Electronic Data Processing Neural Networks, Computer Sensory Receptor Cells Animals Synaptic Transmission
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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...
Models, Neurological Action Potentials Neurons Synaptic Transmission Neural Networks, Computer Computer Simulation Humans
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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...
Animals Nanoparticles Humans Neural Networks, Computer Neurotransmitter Agents Synaptic Transmission Computers, Molecular Nerve Net Models, Neurological Action Potentials Neurons Biomimetic Materials
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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 ...
Synaptic Transmission Reinforcement, Psychology Visual Cortex Membrane Potentials Learning Reward Animals Nerve Net Neuronal Plasticity Neurons Models, Neurological Neural Networks, Computer Computer Simulation
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Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks.

Chaos (Woodbury, N.Y.) Apr 1, 2015
Reliable signal propagation across distributed brain areas is an essential requirement for cognitive function, and it has been investigated extensively in computational studies where feed-forward network (FFN) is taken as a generic model. But it is s...
Signal Processing, Computer-Assisted Neural Networks, Computer Neurons Algorithms Signal-To-Noise Ratio Humans Nerve Net Models, Neurological Animals Action Potentials Cognition Models, Theoretical Brain Computer Simulation Normal Distribution Synaptic Transmission
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