Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain’s structure and ...

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure ... An artificial neural network can be created by simulating ...

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts across neural networks — from CNNs to Transformers. It outperforms standard ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

CytoTronics, Inc., a pioneer of semiconductor-based platforms for discovery in cell biology, launched its Neural application for Pixel systems today. A pioneering innovation for neurodegenerative ...

Stanford Medicine investigators have replicated, in a lab dish, one of humans' most prominent nervous pathways for sensing ...

A new editorial was published in Oncotarget, Volume 16, on April 4, 2025, titled “Deep learning-based uncertainty ...

The study provides compelling evidence that local dopamine release serves as a crucial signal for neural plasticity in the motor cortex, enabling the necessary adaptations for producing precise and ...

Neuroscience examines the structure and function of the human brain ... the brain is hard-wired with neural connections. These connections link together its various lobes and also link sensory ...

Within this network, the premotor region HVC is essential ... Their findings suggest HVC is organized into highly structured neural modules that contain both projection neurons and inhibitory ...