Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …

Abstract The Defense Advanced Research Projects Agency (DARPA) has funded innovative
scientific research and technology developments in the field of brain–computer interfaces …

The ability to simultaneously record from large numbers of neurons in behaving animals has
ushered in a new era for the study of the neural circuit mechanisms underlying cognitive …

Artificial neural networks (ANNs) have emerged as an essential tool in machine learning,
achieving remarkable success across diverse domains, including image and speech …

Abstraction and hierarchical information processing are hallmarks of human and animal
intelligence underlying the unrivaled flexibility of behavior in biological systems. Achieving …

In this paper, a Consecutive Hybrid Spiking-Convolutional (CHSC) neural controller is
proposed by integrating Convolutional Neural Networks (CNNs) and Spiking Neural …

Learning a task induces connectivity changes in neural circuits, thereby changing their
dynamics. To elucidate task-related neural dynamics, we study trained recurrent neural …

We develop a novel, biologically detailed neural model of reinforcement learning (RL)
processes in the brain. This model incorporates a broad range of biological features that …

In recent years, brain–machine interface (BMI) technology has made great progress in
controlling external devices and restoring motor function for people with disabilities. To …

Biomimetic simulation permits neuroscientists to better understand the complex neuronal
dynamics of the brain. Embedding a biomimetic simulation in a closed-loop neuroprosthesis …