Neurovõrgust

Neurovõrgust, also known as the neural network, refers to a complex system of interconnected neurons in the brain that facilitate communication through electrical and chemical signals. These networks are the fundamental units of the nervous system, enabling sensory input processing, motor output control, and higher cognitive functions such as memory, reasoning, and decision-making.

The structure of neurovõrgust is highly dynamic, with neurons forming trillions of synaptic connections. Each neuron transmits signals via axons to dendrites of neighboring neurons, creating a web-like pattern. Synapses, the junctions between neurons, can strengthen or weaken based on activity, a process known as synaptic plasticity, which underpins learning and memory formation.

Neurovõrgust plays a critical role in various neurological and psychological functions. Damage or dysfunction within these networks can lead to disorders such as epilepsy, Parkinson’s disease, Alzheimer’s disease, and depression. Advances in neuroscience have allowed researchers to study neurovõrgust using techniques like electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and deep brain stimulation.

Artificial neural networks, inspired by biological neurovõrgust, are widely used in machine learning and artificial intelligence. These computational models mimic the brain’s structure to process information, recognize patterns, and make predictions, demonstrating the interdisciplinary relevance of neurovõrgust in both biological and technological contexts.