AIMC Topic: Neurons

Clear Filters Showing 601 to 610 of 1388 articles

Fast deep neural correspondence for tracking and identifying neurons in using semi-synthetic training.

eLife Jul 14, 2021
We present an automated method to track and identify neurons in , called 'fast Deep Neural Correspondence' or fDNC, based on the transformer network architecture. The model is trained once on empirically derived semi-synthetic data and then predicts ...
Hand Brain Neurons Animals Humans Deep Learning Neural Networks, Computer Caenorhabditis elegans Machine Learning Algorithms
View on PubMed DOI

Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.

PLoS computational biology Jul 12, 2021
The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of co...
Neural Networks, Computer Animals Models, Neurological Mice Organ Culture Techniques Feedback, Physiological Action Potentials Computational Biology Somatosensory Cortex Nerve Net Neurons Synaptic Transmission
View on PubMed DOI

An active learning approach for clustering single-cell RNA-seq data.

Laboratory investigation; a journal of technical methods and pathology Jul 9, 2021
Single-cell RNA sequencing (scRNA-seq) data has been widely used to profile cellular heterogeneities with a high-resolution picture. Clustering analysis is a crucial step of scRNA-seq data analysis because it provides a chance to identify and uncover...
Animals Leukocytes, Mononuclear Gene Expression Profiling Cells, Cultured Reproducibility of Results Cluster Analysis Unsupervised Machine Learning Neurons Single-Cell Analysis RNA-Seq Kidney Humans Algorithms Urinary Bladder
View on PubMed DOI

An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation.

Nature communications Jul 9, 2021
We propose a Double EXponential Adaptive Threshold (DEXAT) neuron model that improves the performance of neuromorphic Recurrent Spiking Neural Networks (RSNNs) by providing faster convergence, higher accuracy and a flexible long short-term memory. We...
Neurons Neural Networks, Computer Humans Computers Nanostructures Speech Recognition Software Models, Neurological Datasets as Topic
View on PubMed DOI

A heuristic perspective on non-variational free energy modulation at the sleep-like edge.

Bio Systems Jul 8, 2021
BACKGROUND: The variational Free Energy Principle (FEP) establishes that a neural system minimizes a free energy function of their internal state through environmental sensing entailing beliefs about hidden states in their environment.
Thalamus Entropy Delta Rhythm Heuristics Wakefulness Sleep Neural Networks, Computer Neurons Humans
View on PubMed DOI

A Survey of Stochastic Computing Neural Networks for Machine Learning Applications.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Neural networks (NNs) are effective machine learning models that require significant hardware and energy consumption in their computing process. To implement NNs, stochastic computing (SC) has been proposed to achieve a tradeoff between hardware effi...
Neurons Stochastic Processes Machine Learning Algorithms Humans Neural Networks, Computer
View on PubMed DOI

Dynamics Analysis and Design for a Bidirectional Super-Ring-Shaped Neural Network With n Neurons and Multiple Delays.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Recently, the dynamics of delayed neural networks has always incurred the widespread concern of scholars. However, they are mostly confined to some simplified neural networks, which are only made up of a small amount of neurons. The main cause is tha...
Neural Networks, Computer Models, Neurological Neurons Linear Models Algorithms Computer Simulation Feedback
View on PubMed DOI

On the Role of Arkypallidal and Prototypical Neurons for Phase Transitions in the External Pallidum.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
The external pallidum (globus pallidus pars externa [GPe]) plays a central role for basal ganglia functions and dynamics and, consequently, has been included in most computational studies of the basal ganglia. These studies considered the GPe as a ho...
Neurons Humans Globus Pallidus Neural Networks, Computer Animals Models, Theoretical Models, Neurological
View on PubMed DOI

A Low-Power Spiking Neural Network Chip Based on a Compact LIF Neuron and Binary Exponential Charge Injector Synapse Circuits.

Sensors (Basel, Switzerland) Jun 29, 2021
To realize a large-scale Spiking Neural Network (SNN) on hardware for mobile applications, area and power optimized electronic circuit design is critical. In this work, an area and power optimized hardware implementation of a large-scale SNN for real...
Neurons Semiconductors Neural Networks, Computer Synapses Computers
View on PubMed DOI

Biological constraints on neural network models of cognitive function.

Nature reviews. Neuroscience Jun 28, 2021
Neural network models are potential tools for improving our understanding of complex brain functions. To address this goal, these models need to be neurobiologically realistic. However, although neural networks have advanced dramatically in recent ye...
Humans Neural Networks, Computer Brain Neurons Cognition Neuronal Plasticity Models, Neurological
View on PubMed DOI
Popular Topics
Recent Journals