Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...

When a baby smiles at you, it's almost impossible not to smile back. This spontaneous reaction to a facial expression is part ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Holidays and celebrations can intensify loneliness for families affected by gray divorce. Learn why and what can help ease ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...

Neural stem cells (NSCs) hold significant potential in neural regenerative medicine, yet research faces multiple challenges such as cellular heterogeneity, unclear microenvironment interactions, and ...