AIMC Topic: Neurons

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Improved weight initialization for deep and narrow feedforward neural network.

Neural networks : the official journal of the International Neural Network Society May 3, 2024
Appropriate weight initialization settings, along with the ReLU activation function, have become cornerstones of modern deep learning, enabling the training and deployment of highly effective and efficient neural network models across diverse areas o...
Humans Neural Networks, Computer Deep Learning Neurons Artificial Intelligence Algorithms
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Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.

IEEE transactions on neural networks and learning systems May 2, 2024
Episodic memory is fundamental to the brain's cognitive function, but how neuronal activity is temporally organized during its encoding and retrieval is still unknown. In this article, combining hippocampus structure with a spiking neural network (SN...
Algorithms Neuronal Plasticity Hippocampus Models, Neurological Memory, Episodic Action Potentials Dendrites Humans Neurons Neural Networks, Computer
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An artificial visual neuron with multiplexed rate and time-to-first-spike coding.

Nature communications May 1, 2024
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while silicon image sensors do not. The energy-budget mismatch between biological systems and machine vision technology has inspired the development of artificial v...
Neural Networks, Computer Models, Neurological Neurons Visual Perception Action Potentials Humans
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Binary matrix factorization via collaborative neurodynamic optimization.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2024
Binary matrix factorization is an important tool for dimension reduction for high-dimensional datasets with binary attributes and has been successfully applied in numerous areas. This paper presents a collaborative neurodynamic optimization approach ...
Pattern Recognition, Automated Humans Algorithms Neural Networks, Computer Neurons
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Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.

PLoS computational biology Apr 29, 2024
Probing the architecture of neuronal circuits and the principles that underlie their functional organization remains an important challenge of modern neurosciences. This holds true, in particular, for the inference of neuronal connectivity from large...
Nerve Net Neural Networks, Computer Microelectrodes Neurons Patch-Clamp Techniques Machine Learning Synapses Algorithms Rats Animals Models, Neurological Computational Biology Action Potentials
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Recurrent neural networks that learn multi-step visual routines with reinforcement learning.

PLoS computational biology Apr 29, 2024
Many cognitive problems can be decomposed into series of subproblems that are solved sequentially by the brain. When subproblems are solved, relevant intermediate results need to be stored by neurons and propagated to the next subproblem, until the o...
Visual Cortex Computational Biology Animals Visual Perception Models, Neurological Reinforcement, Psychology Memory, Short-Term Neural Networks, Computer Neurons Macaca mulatta Learning
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High-performance deep spiking neural networks via at-most-two-spike exponential coding.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2024
Spiking neural networks (SNNs) provide necessary models and algorithms for neuromorphic computing. A popular way of building high-performance deep SNNs is to convert ANNs to SNNs, taking advantage of advanced and well-trained ANNs. Here we propose an...
Humans Action Potentials Algorithms Neural Networks, Computer Neurons Models, Neurological
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Learning spatio-temporal patterns with Neural Cellular Automata.

PLoS computational biology Apr 26, 2024
Neural Cellular Automata (NCA) are a powerful combination of machine learning and mechanistic modelling. We train NCA to learn complex dynamics from time series of images and Partial Differential Equation (PDE) trajectories. Our method is designed to...
Neurons Algorithms Computer Simulation Computational Biology Models, Neurological Spatio-Temporal Analysis Humans Neural Networks, Computer Machine Learning
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Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.

eLife Apr 25, 2024
Primates can recognize objects despite 3D geometric variations such as in-depth rotations. The computational mechanisms that give rise to such invariances are yet to be fully understood. A curious case of partial invariance occurs in the macaque face...
Brain Animals Models, Neurological Neural Networks, Computer Macaca Neurons Macaca mulatta
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FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2024
In this work, we demonstrate the training, conversion, and implementation flow of an FPGA-based bin-ratio ensemble spiking neural network applied for radioisotope identification. The combination of techniques including learned step quantisation (LSQ)...
Humans Neurons Radioisotopes Algorithms Action Potentials Neural Networks, Computer
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