AIMC Topic:
Neurons

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Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks.

Neural computation May 19, 2022
Artificial neural networks (ANNs) have experienced a rapid advancement for their success in various application domains, including autonomous driving and drone vision. Researchers have been improving the performance efficiency and computational requi...
Neural Networks, Computer Machine Learning Algorithms Computers Neurons
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Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data.

Neural computation Apr 15, 2022
With the accelerated development of neural recording technology over the past few decades, research in integrative neuroscience has become increasingly reliant on data analysis methods that are scalable to high-dimensional recordings and computationa...
Neural Networks, Computer Brain Neurons Normal Distribution
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Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling.

Neural computation Apr 15, 2022
Recent work on spiking neural networks (SNNs) has focused on achieving deep architectures. They commonly use backpropagation (BP) to train SNNs directly, which allows SNNs to go deeper and achieve higher performance. However, the BP training procedur...
Neural Networks, Computer Algorithms Neurons
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Desynchronous learning in a physics-driven learning network.

The Journal of chemical physics Apr 14, 2022
In a neuron network, synapses update individually using local information, allowing for entirely decentralized learning. In contrast, elements in an artificial neural network are typically updated simultaneously using a central processor. Here, we in...
Neural Networks, Computer Computer Simulation Learning Neurons Physics
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Learning to represent continuous variables in heterogeneous neural networks.

Cell reports Apr 5, 2022
Animals must monitor continuous variables such as position or head direction. Manifold attractor networks-which enable a continuum of persistent neuronal states-provide a key framework to explain this monitoring ability. Neural networks with symmetri...
Neural Networks, Computer Brain Learning Animals Models, Neurological Neurons
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Channel response-aware photonic neural network accelerators for high-speed inference through bandwidth-limited optics.

Optics express Mar 28, 2022
Photonic neural network accelerators (PNNAs) have been lately brought into the spotlight as a new class of custom hardware that can leverage the maturity of photonic integration towards addressing the low-energy and computational power requirements o...
Neural Networks, Computer Neurons Photons
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Adaptive Learning Neural Network Method for Solving Time-Fractional Diffusion Equations.

Neural computation Mar 23, 2022
A neural network method for solving fractional diffusion equations is presented in this letter. An adaptive gradient descent method is proposed to minimize energy functions. Due to the memory effects of the fractional calculus, the gradient of energy...
Neural Networks, Computer Algorithms Neurons
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Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention.

Journal of cognitive neuroscience Mar 5, 2022
Spatial attention enhances sensory processing of goal-relevant information and improves perceptual sensitivity. Yet, the specific neural mechanisms underlying the effects of spatial attention on performance are still contested. Here, we examine diffe...
Humans Neural Networks, Computer Neurons
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Photonic reservoir computer based on frequency multiplexing.

Optics letters Feb 15, 2022
Reservoir computing is a brain-inspired approach for information processing, well suited to analog implementations. We report a photonic implementation of a reservoir computer that exploits frequency domain multiplexing to encode neuron states. The s...
Neural Networks, Computer Computers Neurons Optics and Photonics Photons
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Coherent oscillations in balanced neural networks driven by endogenous fluctuations.

Chaos (Woodbury, N.Y.) Feb 1, 2022
We present a detailed analysis of the dynamical regimes observed in a balanced network of identical quadratic integrate-and-fire neurons with sparse connectivity for homogeneous and heterogeneous in-degree distributions. Depending on the parameter va...
Neural Networks, Computer Models, Neurological Action Potentials Neurons Nerve Net
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