How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Neuro Sharp Unveiled: Exploring the Science Behind This Neuro Sharp Brain Health Supplement for Focus, Memory, and Mental Clarity

Discover the U.S. brain health supplement enhancing memory, focus & mental clarity with a clean-label nootropic formula. Neuro Sharp Neuro Sharp New York City, NY, Nov. 10, 2025 (GLOBE NEWSWIRE) -- ...
eLife

Extracting Value Coding Features from Individual Serotonin Neurons

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
EMBO Press

Insulin and epidermal signals independently shape sexually dimorphic neurite branching in C. elegans

Sexual state-regulated insulin signaling and vulval epithelial cues engage distinct pathways to remodel the F-actin ...
The Lancet

Remission in chronic cough: an achievable target?

Refractory chronic cough (RCC), defined as a persistent cough for more than 8 weeks despite adequate treatment of underlying ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Tropical Storm ...
Scientific Research Publishing

Lederer, J. (2021) Activation Functions in Artificial Neural Networks: A Systematic Overview. arXiv: 2101.09957v1.

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
IEEE

Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks

Abstract: In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. Activation functions ...
IEEE

Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation

Most nations rely heavily on agriculture to provide employment. In recent years, as a result of a growing global population’s increased demand for food and water, numerous nations are consuming ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...