Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of populations of neurons represent things? How are synapse strengths ...

The elective core modules cover basics of neuroscience. These are divided into three categories: systems neuroscience, neural computation and theoretical neurosciences, and neurotechnologies and ...

Lamberti's work demonstrates that neurons are capable of predicting future inputs, showing that prediction is a general function of neural networks. Her research highlights how memory not only ...

By integrating and connecting the developed devices, the team also successfully implemented the "neuron-synapse-neuron" ...

Computer vision is normally unable to simulate psychological and neurological aspects of human vision, including our ability ...

Neuroscience examines the structure and function of the human ... great challenges of modern neuroscience is to map out all the networks of cell-to-cell communication—the brain circuits that ...

This important paper takes a novel approach to the problem of automatically reconstructing long-range axonal projections from stacks of images. The key innovation is to separate the identification of ...

With the development of artificial intelligence technology, various artificial hardware neural networks such as recursive ...

Futurology: Researchers have managed to simulate the iconic Counter-Strike: Global Offensive map Dust II entirely within a neural network running on a single RTX 3090 GPU. While the clips are a ...