Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, perception, memory, language, and thought have been mapped onto distinct brain ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...

How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes ...

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Scientists announced on Wednesday that they have found no evidence for the hypothetical “sterile neutrino,” an extra version of the ghostly neutrino particles that are ubiquitous in the universe. The ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

For environment simplicity, we assume a stock Ubuntu LTS server installation. It is highly encouraged to run a Linux host within a virtualization setup, such as VirtualBox, VMware Fusion, or other ...

The podcast, which Bialik hosts with Jonathan Cohen, will join Impact Theory’s network in a deal designed to “fuel strategic growth” through partnerships and advertising opportunities. By Chris ...