AIMC Topic: Action Potentials

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Neuromorphic computing with multi-memristive synapses.

Nature communications Jun 28, 2018
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently r...
Synapses Biomimetic Materials Electric Conductivity Neural Networks, Computer Animals Models, Neurological Action Potentials Unsupervised Machine Learning Electronics Humans
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Spiking networks as efficient distributed controllers.

Biological cybernetics Jun 27, 2018
In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neur...
Humans Neural Networks, Computer Algorithms Models, Neurological Action Potentials Neurons Brain Computer Simulation Animals Nonlinear Dynamics Neural Pathways Nerve Net
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Sum Rate of MISO Neuro-Spike Communication Channel With Constant Spiking Threshold.

IEEE transactions on nanobioscience Jun 14, 2018
Communication among neurons, known as neuro-spike communication, is the most promising technique for realization of a bio-inspired nanoscale communication paradigm to achieve biocompatible nanonetworks. In neuro-spike communication, the information, ...
Hippocampus Nerve Net Models, Neurological Action Potentials Nanotechnology Neural Networks, Computer Communication Animals Computational Biology
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Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture.

Scientific reports Jun 11, 2018
Familiarity of marketing stimuli may affect consumer behaviour at a peri-perceptual processing level. The current study introduces a method for deep learning of electroencephalogram (EEG) data using a spiking neural network (SNN) approach that reveal...
Young Adult Recognition, Psychology Humans Electroencephalography Deep Learning Adult Brain Perception Models, Neurological Male Female Nerve Net Action Potentials
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Fitting of dynamic recurrent neural network models to sensory stimulus-response data.

Journal of biological physics Jun 2, 2018
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of continuous data. Although the stimulus can be considered as a smooth time-de...
Neural Networks, Computer Animals Electric Stimulation Models, Neurological Photic Stimulation Action Potentials Sensory Receptor Cells Reaction Time
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Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification.

Journal of neurophysiology May 30, 2018
Neural circuits typically consist of many different types of neurons, and one faces a challenge in disentangling their individual contributions in measured neural activity. Classification of cells into inhibitory and excitatory neurons and localizati...
Biophysical Phenomena Electrodes, Implanted Brain Models, Neurological Deep Learning Action Potentials Neurons
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A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems May 28, 2018
Spiking neurons are becoming increasingly popular owing to their biological plausibility and promising computational properties. Unlike traditional rate-based neural models, spiking neurons encode information in the temporal patterns of the transmitt...
Humans Neural Networks, Computer Action Potentials Supervised Machine Learning Neurons Membrane Potentials
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The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks.

PloS one May 24, 2018
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascade...
Wakefulness Cerebral Cortex Anesthesia Models, Neurological Neural Networks, Computer Rest Microelectrodes Action Potentials Animals Neurons Mice
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Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach.

IEEE transactions on neural networks and learning systems May 2, 2018
We present here a learning system using the iCub humanoid robot and the SpiNNaker neuromorphic chip to solve the real-world task of object-specific attention. Integrating spiking neural networks with robots introduces considerable complexity for ques...
Photic Stimulation Neural Networks, Computer Neurons Learning Models, Neurological Attention Cognition Action Potentials Motivation Robotics Humans
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Structured networks support sparse traveling waves in rodent somatosensory cortex.

Proceedings of the National Academy of Sciences of the United States of America Apr 30, 2018
Neurons responding to different whiskers are spatially intermixed in the superficial layer 2/3 (L2/3) of the rodent barrel cortex, where a single whisker deflection activates a sparse, distributed neuronal population that spans multiple cortical colu...
Neural Pathways Electric Stimulation Rodentia Vibrissae Neural Networks, Computer Animals Action Potentials Neurons Somatosensory Cortex
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