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.
eLife

Excitatory cholecystokinin neurons in CA3 area regulate the navigation learning and neuroplasticity

This study shows that excitatory cholecystokinin (CCK)-expressing neurons in hippocampal area CA3 influence hippocampal-dependent memory using multiple methods to manipulate excitatory CCK-expressing ...
TMCnet

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

Neuro Sharp as a trusted name within the expanding field of cognitive enhancement supplements. Developed by a team of ...
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 ...
eLife

Type-I nNOS neurons orchestrate cortical neural activity and vasomotion

Removal of type-I nNOS neurons decreased delta-band power in the LFP, lowered dilation to sustained stimulation, decreased the interhemispheric coherence of neural and hemodynamic signals, and reduced ...