Neuronal ceroid lipofuscinosis - Wikipedia
Neuronal ceroid lipofuscinosis is a family of at least eight genetically separate neurodegenerative lysosomal storage diseases that result from excessive
Neuronal recycling hypothesis - Wikipedia
The neuronal recycling hypothesis was proposed by Stanislas Dehaene in the field of cognitive neuroscience in an attempt to explain the underlying neural
Noise and Neuronal Heterogeneity
We consider signal transaction in a simple neuronal model featuring intrinsic noise. The presence of noise limits the precision of neural responses and impacts the quality of neural signal transduction. We assess the signal transduction quality in re...
A Generalized Rate Model for Neuronal Ensembles
There has been a long-standing controversy whether information in neuronal networks is carried by the firing rate code or by the firing temporal code. The current status of the rivalry between the two codes is briefly reviewed with the recent studi...
Researchers discover neuronal biomarkers of schizophrenia in the blood
Points: 117 | Comments: 65 | Author: geox
Unsupervised sentiment neuron
Points: 603 | Comments: 126 | Author: gdb
Neuronal Attention Circuit (NAC) for Representation Learning
Attention improves representation learning over RNNs, but its discrete nature limits continuous-time (CT) modeling. We introduce Neuronal Attention Circuit (NAC), a novel, biologically inspired CT-Attention mechanism that reformulates attention logit...
Dying ReLU and Initialization: Theory and Numerical Examples
The dying ReLU refers to the problem when ReLU neurons become inactive and only output 0 for any input. There are many empirical and heuristic explanations of why ReLU neurons die. However, little is known about its theoretical analysis. In this pape...
neurons-me/monad.ai
Client-Side Component of Hybrid Cloud-Peer-to-Peer Artificial Intelligence. (⭐ 40)
Nucleus raphe magnus - Wikipedia
NRM receives afferent stimuli from the enkephalinergic neurons of the periaqueductal gray; the serotonergic neurons of the NRM then bilaterally project efferents
Short and random: Modelling the effects of (proto-)neural elongations
To understand how neurons and nervous systems first evolved, we need an account of the origins of neural elongations: Why did neural elongations (axons and dendrites) first originate, such that they could become the central component of both neurons...
Orders of magnitude (numbers) - Wikipedia
our galaxy: of the order of 1011 stars in the Milky Way galaxy. Biology – Neurons in the brain: approximately (1±0.2) × 1011 neurons in the human brain
NeuronRobotics/java-bowler
A library for controlling Bowler devices with Java (⭐ 14)
InfDeath/NeuronRobotics.github.io
The Website for the Bowler System (⭐ 0)
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted p…
In this paper, convolutional layers of pre-trained VGG16 model are analyzed. The analysis is based on the responses of neurons to the images of classes in ImageNet database. First, a visualization method is proposed in order to illustrate the learned...
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
In this work we identify the dormant neuron phenomenon in deep reinforcement learning, where an agent's network suffers from an increasing number of inactive neurons, thereby affecting network expressivity. We demonstrate the presence of this phenome...
neuronetio/gantt-schedule-timeline-calendar
Gantt Gantt Gantt Timeline Schedule Calendar [ javascript gantt, js gantt, projects gantt, timeline, scheduler, gantt timeline, reservation timeline, react gantt, angular gantt, vue gantt, svelte gantt, booking manager ] (⭐ 3548)
Design, Simulation, and Fabrication of a Hexagonal Microfluidic Platform for Culturing Neu…
Developing an organoid computing platform from neurons in vitro demands stable, precisely controlled microenvironments. To address this requirement, we designed, simulated, and fabricated a microfluidic device featuring hexagonal wells ($34.64\,\math...
srid/neuron
Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote) (⭐ 1541)
Influence of inhibitory synapses on the criticality of excitable neuronal networks
In this work, we study the dynamic range of a neuronal network of excitable neurons with excitatory and inhibitory synapses. We obtain an analytical expression for the critical point as a function of the excitatory and inhibitory synaptic intensities...