AIMC Topic:
Neurons

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A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks.

Neural computation Nov 12, 2021
A fundamental challenge at the interface of machine learning and neuroscience is to uncover computational principles that are shared between artificial and biological neural networks. In deep learning, normalization methods such as batch normalizatio...
Neural Networks, Computer Machine Learning Algorithms Brain Neurons
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Yulong Li.

Neuron Nov 3, 2021
In an interview with Neuron, Yulong Li discusses optical tool development and next steps to interrogate the whole brain. He further shares the importance of interdisciplinarity; how new tools for neural imaging, perturbation, and artificial intellige...
Humans Artificial Intelligence Brain Male Neurons Neurosciences
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Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cell individualization has a vital role in digital pathology image analysis. Deep Learning is considered as an efficient tool for instance segmentation tasks, including cell individualization. However, the precision of the Deep Learning model relies ...
Brain Animals Deep Learning Image Processing, Computer-Assisted Neurons Macaca
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Controlled generation of self-sustained oscillations in complex artificial neural networks.

Chaos (Woodbury, N.Y.) Nov 1, 2021
Spatially distinct, self-sustained oscillations in artificial neural networks are fundamental to information encoding, storage, and processing in these systems. Here, we develop a method to induce a large variety of self-sustained oscillatory pattern...
Neural Networks, Computer Feedback Neurons
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Global Mittag-Leffler stability and existence of the solution for fractional-order complex-valued NNs with asynchronous time delays.

Chaos (Woodbury, N.Y.) Nov 1, 2021
This paper is dedicated to exploring the global Mittag-Leffler stability of fractional-order complex-valued (CV) neural networks (NNs) with asynchronous time delays, which generates exponential stability of integer-order (IO) CVNNs. Here, asynchronou...
Neural Networks, Computer Neurons
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Simplified description of dynamics in neuromorphic resonant tunneling diodes.

Chaos (Woodbury, N.Y.) Nov 1, 2021
In this article, the standard theoretical model accounting for a double barrier quantum well resonant tunneling diode (RTD) connected to a direct current source of voltage is simplified by representing its current-voltage characteristic with an analy...
Neural Networks, Computer Algorithms Prospective Studies Models, Theoretical Neurons
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Neuromorphology in-sensor computing architecture based on an optical Fourier transform.

Optics letters Nov 1, 2021
We propose an object recognition architecture relying on a neural network algorithm in optical sensors. Precisely, by applying the high-speed and low-power Fourier transform operation in the optical domain, we can transfer the high-cost part of the t...
Neural Networks, Computer Algorithms Neurons Fourier Analysis
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Characterization of multiscale logic operations in the neural circuits.

Frontiers in bioscience (Landmark edition) Oct 30, 2021
: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philosophical foundation known as 'computationalism' have been central to brain-inspired artificial intelligence (AI) technologies. The present study descr...
Artificial Intelligence Neurons Logic Synaptic Transmission Pyramidal Cells
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Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network.

Neural computation Oct 12, 2021
Our real-time actions in everyday life reflect a range of spatiotemporal dynamic brain activity patterns, the consequence of neuronal computation with spikes in the brain. Most existing models with spiking neurons aim at solving static pattern recogn...
Humans Neural Networks, Computer Algorithms Models, Neurological Action Potentials Neurons
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Perception and memory in the medial temporal lobe: Deep learning offers a new lens on an old debate.

Neuron Sep 1, 2021
In this issue of Neuron, Bonnen et al. (2021) use artificial neural networks to resolve a long-standing controversy surrounding the neurocognitive dichotomy between memory and perception. They show that the perirhinal cortex supports performance on t...
Deep Learning Neurons Perception Memory Temporal Lobe
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