AIMC Topic: Neurons

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Large-Scale Bio-Inspired FPGA Models for Path Planning.

IEEE transactions on biomedical circuits and systems Jan 26, 2024
The hippocampus provides significant inspiration for spatial navigation and memory in both humans and animals. Constructing large-scale spiking neural network (SNN) models based on the biological neural systems is an important approach to comprehend ...
Humans Neural Networks, Computer Algorithms Brain Animals Neurons
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Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.

IEEE transactions on biomedical circuits and systems Jan 26, 2024
Brain-inspired structured neural circuits are the cornerstones of both computational and perceived intelligence. Real-time simulations of large-scale high-dimensional neural populations with complex nonlinearities pose a significant challenge. Taking...
Neural Networks, Computer Brain Computer Simulation Computer Systems Neurons
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Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data.

Nature communications Jan 26, 2024
Neuronal activity-dependent transcription directs molecular processes that regulate synaptic plasticity, brain circuit development, behavioral adaptation, and long-term memory. Single cell RNA-sequencing technologies (scRNAseq) are rapidly developing...
Brain Animals Male Gene Expression Profiling Deep Learning Mice Neuronal Plasticity Neurons
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MedGAN: optimized generative adversarial network with graph convolutional networks for novel molecule design.

Scientific reports Jan 12, 2024
Generative Artificial Intelligence can be an important asset in the drug discovery process to meet the demand for novel medicines. This work outlines the optimization and fine-tuning steps of MedGAN, a deep learning model based on Wasserstein Generat...
Artificial Intelligence Drug Design Drug Discovery Neurons Quinolines
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Achieving High Core Neuron Density in a Neuromorphic Chip Through Trade-off Among Area, Power Consumption, and Data Access Bandwidth.

IEEE transactions on biomedical circuits and systems Jan 10, 2024
As a crucial component of neuromorphic chips, on-chip memory usually occupies most of the on-chip resources and limits the improvement of neuron density. The alternative of using off-chip memory may result in additional power consumption or even a bo...
Neural Networks, Computer Neurons
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Topological data analysis of the firings of a network of stochastic spiking neurons.

Frontiers in neural circuits Jan 4, 2024
Topological data analysis is becoming more and more popular in recent years. It has found various applications in many different fields, for its convenience in analyzing and understanding the structure and dynamic of complex systems. We used topologi...
Machine Learning Neurons
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Memristor-Based Neuromorphic Chips.

Advanced materials (Deerfield Beach, Fla.) Jan 2, 2024
In the era of information, characterized by an exponential growth in data volume and an escalating level of data abstraction, there has been a substantial focus on brain-like chips, which are known for their robust processing power and energy-efficie...
Neural Networks, Computer Computers Brain Neurons Synapses
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Neural networks from biological to artificial and vice versa.

Bio Systems Jan 2, 2024
In this paper, we examine how deep learning can be utilized to investigate neural health and the difficulties in interpreting neurological analyses within algorithmic models. The key contribution of this paper is the investigation of the impact of a ...
Neural Networks, Computer Algorithms Brain Neurons
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Subconfluent ARPE-19 Cells Display Mesenchymal Cell-State Characteristics and Behave like Fibroblasts, Rather Than Epithelial Cells, in Experimental HCMV Infection Studies.

Viruses Dec 28, 2023
Human cytomegalovirus (HCMV) has a broad cellular tropism and epithelial cells are important physiological targets during infection. The retinal pigment epithelial cell line ARPE-19 has been used to model HCMV infection in epithelial cells for decade...
Humans Fibroblasts Cell Line Epithelial Cells Cytomegalovirus Epithelium Neurons
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Artificial Tactile Perception System Based on Spiking Tactile Neurons and Spiking Neural Networks.

ACS applied materials & interfaces Dec 20, 2023
The artificial tactile perception system of this work utilizes a fully connected spiking neural network (SNN) comprising two layers. Its architecture is streamlined and energy-efficient as it directly integrates spiking tactile neurons with piezoresi...
Neural Networks, Computer Learning Neurons Touch Touch Perception
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