AIMC Topic: Neurons

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Stochasticity from function - Why the Bayesian brain may need no noise.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2019
An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encoding scheme for probabilistic computing. Since the precise statistical p...
Neural Networks, Computer Brain Bayes Theorem Neurons Membrane Potentials Computer Simulation Neuronal Plasticity Models, Neurological
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Reachability Analysis of Neural Masses and Seizure Control Based on Combination Convolutional Neural Network.

International journal of neural systems Aug 2, 2019
Epileptic seizures arise from synchronous firing of multiple spatially separated neural masses; therefore, many synchrony measures are used for seizure detection and characterization. However, synchrony measures reflect only the overall interaction s...
Neurophysiology Epilepsy Signal Processing, Computer-Assisted Neurons Humans Neural Networks, Computer Models, Neurological Electroencephalography
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Artificial Sensory Memory.

Advanced materials (Deerfield Beach, Fla.) Jul 30, 2019
Sensory memory, formed at the beginning while perceiving and interacting with the environment, is considered a primary source of intelligence. Transferring such biological concepts into electronic implementation aims at achieving perceptual intellige...
Synapses Neurons Memory Artificial Intelligence Semiconductors Artificial Organs Robotics
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Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis.

Nature neuroscience Jul 25, 2019
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell tran...
Models, Neurological Mice, Inbred C57BL Brain Mapping Male Mice Linear Models Neural Networks, Computer Brain alpha-Synuclein Connectome Female Neurons Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Cell Death Animals
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Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks.

Neural computation Jul 23, 2019
Behavior is controlled by complex neural networks in which neurons process thousands of inputs. However, even short spike trains evoked in a single cortical neuron were demonstrated to be sufficient to influence behavior in vivo. Specifically, irregu...
Nerve Net Somatosensory Cortex Action Potentials Neurons Synapses Neural Networks, Computer Animals
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A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons.

Neural computation Jul 23, 2019
It is known that brain can create a sparse representation of the environment in both sensory and mnemonic forms (Olshausen & Field, 2004). Such sparse representation can be combined in downstream areas to create rich multisensory responses to support...
Humans Neural Networks, Computer Brain Models, Neurological Nonlinear Dynamics Action Potentials Principal Component Analysis Neurons
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SpikeDeeptector: a deep-learning based method for detection of neural spiking activity.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordin...
Brain Female Young Adult Humans Neural Networks, Computer Neurons Quadriplegia Middle Aged Adult Deep Learning Male Action Potentials
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MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning.

IEEE transactions on biomedical circuits and systems Jul 15, 2019
Recent trends in the field of neural network accelerators investigate weight quantization as a means to increase the resource- and power-efficiency of hardware devices. As full on-chip weight storage is necessary to avoid the high energy cost of off-...
Computers Neuronal Plasticity Neurons Humans Neural Networks, Computer
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Bayesian Computation through Cortical Latent Dynamics.

Neuron Jul 15, 2019
Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can be leveraged and has had a major impact on models of per...
Macaca mulatta Time Perception Cerebral Cortex Nerve Net Frontal Lobe Bayes Theorem Neurons Neural Networks, Computer Animals Cognition
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Dendritic computations captured by an effective point neuron model.

Proceedings of the National Academy of Sciences of the United States of America Jul 10, 2019
Complex dendrites in general present formidable challenges to understanding neuronal information processing. To circumvent the difficulty, a prevalent viewpoint simplifies the neuronal morphology as a point representing the soma, and the excitatory a...
CA1 Region, Hippocampal Potassium Channels, Voltage-Gated Excitatory Postsynaptic Potentials Neurons Synapses Voltage-Gated Sodium Channels Neural Networks, Computer Animals Rats Rats, Sprague-Dawley
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