Neurons about to activate
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Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
In contrast to the human ability to continuously acquire knowledge, agents struggle with the stability-plasticity dilemma in deep reinforcement learning (DRL), which refers to the trade-off between retaining existing skills (stability) and learning n...
*Neuron activation*horny
*BONK*...
Neuron - Wikipedia
Neurons are the main components of nervous tissue in all animals except sponges and placozoans. Plants and fungi do not have nerve cells. Molecular evidence suggests that the ability to generate …
Neuron activation
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A quantitative model for presynaptic free calcium dynamics during different stimulation pr…
The presynaptic free calcium dynamics of neurons due to various stimulation protocols is investigated in a mathematical model. The model includes calcium influx through voltage-dependent calcium channels, calcium buffering by endogenous and exogeno...
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
Promoting the connectivity of curvilinear structures, such as neuronal processes in biomedical scans and blood vessels in CT images, remains a key challenge in semantic segmentation. Traditional pixel-wise loss functions, including cross-entropy and...
Three-dimensional alteration of neurites in schizophrenia
This paper reports nano-CT analysis of brain tissues of schizophrenia and control cases. The analysis revealed that: (1) neuronal structures vary between individuals, (2) the mean curvature of distal neurites of the schizophrenia cases was 1.5 times...
Impact of correlated neural activity on decision making performance
Stimulus from the environment that guides behavior and informs decisions is encoded in the firing rates of neural populations. Each neuron in the populations, however, does not spike independently: spike events are correlated from cell to cell. To wh...
Spontaneous excitability in the Morris--Lecar model with ion channel noise
Noise induced excitability is studied in type I and II Morris-Lecar neurons subject to constant sub threshold input, where fluctuations arise from sodium and potassium ion channels. Ion channels open and close randomly, creating current fluctuations...
ModelDBRepository/257027
Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020) (⭐ 1)
Scientists have found a way to compute neural networks, using mathematical models to analy…
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Complex transitions between spiking, bursting and silent regimes in a new memristive Rulko…
The Rulkov model, which simulates the behavior of biological neurons, is modified by replacing one of its control parameters with a memristive, sigmoid-type function of finite memory. This modification causes the parameter to vary according to the sy...
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modeled using LUTs, help maximize this promise of offering ultra-low latency and high...
List of people with motor neuron disease - Wikipedia
Victoria; Jordan, Julie (February 19, 2026). "Eric Dane, Grey's Anatomy and Euphoria Star, Dead at 53 Nearly 1 Year After Announcing ALS Diagnosis". People
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
In this paper, we formalize the idea behind capsule nets of using a capsule vector rather than a neuron activation to predict the label of samples. To this end, we propose to learn a group of capsule subspaces onto which an input feature vector is pr...
From My Own Archives: I did a Tantra workshop for Spuiten & Slikken, wow! (7m:40s) | D…
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Neuronal Response Clamp
Since the first recordings made of evoked action potentials it has become apparent that the responses of individual neurons to ongoing physiologically relevant input, are highly variable. This variability is manifested in non-stationary behavior of p...
ShaoshiZ/PyHipp
Python code for analyzing neuronal data (⭐ 0)
mlech26l/ordinary_neural_circuits
Neuronal Circuit Policies (⭐ 41)