AIMC Topic: Neurons

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Deep convolutional models improve predictions of macaque V1 responses to natural images.

PLoS computational biology Apr 23, 2019
Despite great efforts over several decades, our best models of primary visual cortex (V1) still predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited understanding of the nonlinear computations in V1. Recent...
Visual Cortex Neural Networks, Computer Algorithms Animals Neurons Visual Perception Male Macaca mulatta Computational Biology Models, Neurological
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The capacity of feedforward neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 22, 2019
A long standing open problem in the theory of neural networks is the development of quantitative methods to estimate and compare the capabilities of different architectures. Here we define the capacity of an architecture by the binary logarithm of th...
Deep Learning Neural Networks, Computer Neurons Algorithms
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Quantifying Information Conveyed by Large Neuronal Populations.

Neural computation Apr 12, 2019
Quantifying mutual information between inputs and outputs of a large neural circuit is an important open problem in both machine learning and neuroscience. However, evaluation of the mutual information is known to be generally intractable for large s...
Neurons Humans Neural Networks, Computer Machine Learning Models, Neurological
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Microstimulation in a spiking neural network model of the midbrain superior colliculus.

PLoS computational biology Apr 12, 2019
The midbrain superior colliculus (SC) generates a rapid saccadic eye movement to a sensory stimulus by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical microstimulation in the SC reveals that the...
Neural Networks, Computer Animals Computational Biology Humans Nerve Net Haplorhini Electric Stimulation Models, Neurological Action Potentials Neurons Saccades Superior Colliculi
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Hidden Bursting Firings and Bifurcation Mechanisms in Memristive Neuron Model With Threshold Electromagnetic Induction.

IEEE transactions on neural networks and learning systems Apr 11, 2019
Memristors can be employed to mimic biological neural synapses or to describe electromagnetic induction effects. To exhibit the threshold effect of electromagnetic induction, this paper presents a threshold flux-controlled memristor and examines its ...
Neurons Synapses Electromagnetic Fields Electrophysiological Phenomena Algorithms Computer Simulation Models, Neurological Neural Networks, Computer
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PCNN Mechanism and its Parameter Settings.

IEEE transactions on neural networks and learning systems Apr 11, 2019
The pulse-coupled neural network (PCNN) model is a third-generation artificial neural network without training that uses the synchronous pulse bursts of neurons to process digital images, but the lack of in-depth theoretical research limits its exten...
Electrophysiological Phenomena Models, Neurological Neural Networks, Computer Neurons Image Processing, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted Models, Theoretical
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Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance.

IEEE transactions on neural networks and learning systems Apr 11, 2019
We trained two spiking neural networks (SNNs), the cortical spiking network (CSN) and the cortical neuron-astrocyte network (CNAN), using a spike-based unsupervised method, on the MNIST and alpha-digit data sets and achieve an accuracy of 96.1% and 7...
Electroencephalography Phase Synchronization Alpha Rhythm Neurons Pattern Recognition, Automated Humans Cerebral Cortex Action Potentials Neural Networks, Computer Astrocytes Machine Learning Algorithms Computer Simulation
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Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Proceedings of the National Academy of Sciences of the United States of America Apr 11, 2019
Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies...
Visual Cortex Image Processing, Computer-Assisted Humans Calcium Microscopy, Fluorescence, Multiphoton Mice Animals Video Recording Neurons Deep Learning Mice, Transgenic
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Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.

Journal of neurophysiology Apr 10, 2019
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, but it has low throughput, is difficult to scale, and requires highly skilled operation. We developed an autonomous robot that can acquire multiple cons...
Male Mice Mice, Inbred C57BL Animals Visual Cortex Electrophysiological Phenomena Patch-Clamp Techniques Robotics Neurons Photic Stimulation
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Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2019
The hippocampal theta rhythm (4-12 Hz) is one of the most important electrophysiological processes in the hippocampus, it participates in cognitive hippocampal functions, such as navigation in space, novelty detection, and declarative memory. We use ...
Entorhinal Cortex Theta Rhythm Animals Neural Networks, Computer Neurons CA1 Region, Hippocampal Hippocampus Interneurons Pyramidal Cells
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