AIMC Topic: Synapses

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Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 8, 2017
OBJECTIVE: In postanoxic coma, EEG patterns indicate the severity of encephalopathy and typically evolve in time. We aim to improve the understanding of pathophysiological mechanisms underlying these EEG abnormalities.
Electroencephalography Netherlands Synapses Aged Male Middle Aged Long-Term Potentiation Coma Hypoxia, Brain Humans Heart Arrest Synaptic Transmission Membrane Potentials Neural Networks, Computer Female
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Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience Jun 29, 2017
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
Computer Simulation Animals Male Humans Neural Networks, Computer Synapses Nerve Net Social Behavior Decision Making Neurons Nonlinear Dynamics Models, Theoretical Models, Neurological
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Neuromorphic device architectures with global connectivity through electrolyte gating.

Nature communications May 17, 2017
Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the same time, neurons are immersed in a common electrochemical environment, and global parameters such as...
Synapses Thiophenes Electrolytes Neurons Polystyrenes Microtechnology Nerve Net Neural Networks, Computer Brain Models, Neurological
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An online supervised learning method based on gradient descent for spiking neurons.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2017
The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by precise firing times of spikes. The gradient-descent-based (GDB) learning methods are widely used and verified...
Memory Models, Neurological Action Potentials Supervised Machine Learning Neurons Synapses Algorithms Nerve Net Learning
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Avoiding Catastrophic Forgetting.

Trends in cognitive sciences Apr 23, 2017
Humans regularly perform new learning without losing memory for previous information, but neural network models suffer from the phenomenon of catastrophic forgetting in which new learning impairs prior function. A recent article presents an algorithm...
Synapses Memory Retention, Psychology Neural Networks, Computer Algorithms Learning Humans
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Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS Transistors.

ACS nano Mar 10, 2017
Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as motor action, learning, cognition, emotion, perception, and consciousness. Moreover, improper functioning or abnormal release of neurotransmitter is assoc...
Humans Neural Networks, Computer Molybdenum Neurotransmitter Agents Synapses Disulfides Synaptic Transmission
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Learning by stimulation avoidance: A principle to control spiking neural networks dynamics.

PloS one Feb 3, 2017
Learning based on networks of real neurons, and learning based on biologically inspired models of neural networks, have yet to find general learning rules leading to widespread applications. In this paper, we argue for the existence of a principle al...
Neurons Synapses Avoidance Learning Neural Networks, Computer Animals Models, Neurological Humans
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Dendritic trafficking faces physiologically critical speed-precision tradeoffs.

eLife Dec 30, 2016
Nervous system function requires intracellular transport of channels, receptors, mRNAs, and other cargo throughout complex neuronal morphologies. Local signals such as synaptic input can regulate cargo trafficking, motivating the leading conceptual m...
Synapses Nerve Net Protein Biosynthesis Biological Transport Humans Computer Simulation Neurons Neural Networks, Computer Animals Kinetics
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Synaptic Correlates of Working Memory Capacity.

Neuron Dec 29, 2016
Psychological studies indicate that human ability to keep information in readily accessible working memory is limited to four items for most people. This extremely low capacity severely limits execution of many cognitive tasks, but its neuronal under...
Neuronal Plasticity Neural Inhibition Humans Memory, Short-Term Neural Networks, Computer Synapses
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A Hybrid CMOS-Memristor Neuromorphic Synapse.

IEEE transactions on biomedical circuits and systems Dec 22, 2016
Although data processing technology continues to advance at an astonishing rate, computers with brain-like processing capabilities still elude us. It is envisioned that such computers may be achieved by the fusion of neuroscience and nano-electronics...
Synapses Neurons Semiconductors Neural Networks, Computer Electronics Animals Models, Neurological
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