AIMC Topic: Action Potentials

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A 0.086-mm 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS.

IEEE transactions on biomedical circuits and systems Nov 9, 2018
Shifting computing architectures from von Neumann to event-based spiking neural networks (SNNs) uncovers new opportunities for low-power processing of sensory data in applications such as vision or sensorimotor control. Exploring roads toward cogniti...
Neuronal Plasticity Action Potentials Oxides Time Factors Metals Semiconductors Probability Synapses Internet Neurons Neural Networks, Computer
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On String Languages Generated by Spiking Neural P Systems With Structural Plasticity.

IEEE transactions on nanobioscience Nov 2, 2018
Spiking neural P systems (SNP systems) are parallel and non-deterministic models of computation, inspired by the neural system of the brain. A variant of SNP systems known as SNP systems with structural plasticity (SNPSP systems) includes the feature...
Computers, Molecular Programming Languages Synapses Neural Networks, Computer Models, Neurological Action Potentials Neuronal Plasticity
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Rhythmic modulation of thalamic oscillations depends on intrinsic cellular dynamics.

Journal of neural engineering Oct 24, 2018
OBJECTIVE: Rhythmic brain stimulation has emerged as a powerful tool to modulate cognition and to target pathological oscillations related to neurological and psychiatric disorders. However, we lack a systematic understanding of how periodic stimulat...
Action Potentials Neurons Thalamus Brain Waves Neural Networks, Computer
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Evaluating performance of neural codes in model neural communication networks.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2018
Information needs to be appropriately encoded to be reliably transmitted over physical media. Similarly, neurons have their own codes to convey information in the brain. Even though it is well-known that neurons exchange information using a pool of s...
Neural Networks, Computer Membrane Potentials Models, Neurological Brain Action Potentials Animals Neurons
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Unsupervised and real-time spike sorting chip for neural signal processing in hippocampal prosthesis.

Journal of neuroscience methods Oct 16, 2018
BACKGROUND: Damage to the hippocampus will result in the loss of ability to form new long-term memories and cognitive disorders. At present, there is no effective medical treatment for this issue. Hippocampal cognitive prosthesis is proposed to repla...
Prosthesis Design Neurons Hippocampus Signal Processing, Computer-Assisted Prostheses and Implants Pattern Recognition, Automated Algorithms Animals Action Potentials Unsupervised Machine Learning Cluster Analysis Humans
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Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

IEEE transactions on cybernetics Oct 3, 2018
Hidden Markov models (HMMs) underpin the solution to many problems in computational neuroscience. However, it is still unclear how to implement inference of HMMs with a network of neurons in the brain. The existing methods suffer from the problem of ...
Neural Networks, Computer Brain Models, Neurological Humans Competitive Behavior Action Potentials Markov Chains
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A Parallel Workflow Pattern Modeling Using Spiking Neural P Systems With Colored Spikes.

IEEE transactions on nanobioscience Oct 1, 2018
Spiking neural P systems, otherwise known as named SN P systems, are bio-inspired parallel and distributed neural-like computing models. Due to the spiking behavior, SN P systems fall into the category of spiking neural networks, and are considered t...
Brain Neurons Models, Neurological Action Potentials Humans Neural Networks, Computer
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Neural Classifiers with Limited Connectivity and Recurrent Readouts.

The Journal of neuroscience : the official journal of the Society for Neuroscience Sep 24, 2018
For many neural network models in which neurons are trained to classify inputs like perceptrons, the number of inputs that can be classified is limited by the connectivity of each neuron, even when the total number of neurons is very large. This pose...
Action Potentials Neurons Animals Models, Neurological Neural Networks, Computer Brain
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Estimation of neural connections from partially observed neural spikes.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2018
Plasticity is one of the most important properties of the nervous system, which enables animals to adjust their behavior to the ever-changing external environment. Changes in synaptic efficacy between neurons constitute one of the major mechanisms of...
Animals Rats Action Potentials Neural Networks, Computer Nerve Net Neurons Hippocampus
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Effect of inhibitory spike-timing-dependent plasticity on fast sparsely synchronized rhythms in a small-world neuronal network.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2018
We consider the Watts-Strogatz small-world network (SWN) consisting of inhibitory fast spiking Izhikevich interneurons. This inhibitory neuronal population has adaptive dynamic synaptic strengths governed by the inhibitory spike-timing-dependent plas...
Action Potentials Animals Long-Term Potentiation Interneurons Humans Synapses Neuronal Plasticity Neural Inhibition Neural Networks, Computer Neurons
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