Normalization is a critical operation in neural circuits. In the brain, there is evidence that normalization is implemented via inhibitory interneurons and allows neural populations to adjust to chang...

Animal brains flexibly and efficiently achieve many behavioral tasks with a single neural network. A core goal in modern neuroscience is to map the mechanisms of the brain's flexibility onto the dynam...

How the brain maintains object representations during grasping, when complex sensory input rapidly changes, remains poorly understood. Here the authors show that object-identity signals shift and stre...

Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the efficiency of move...

Project Title: Multi-disciplinary, multi-lab investigations of the neural bases of human sensorimotor control Project Description:

During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...

New study reveals that we rely on sensory expectations to get prepared for unexpected disturbances, helping us react faster and more accurately.

Champalimaud Foundation (Fundação D. Anna de Sommer Champalimaud e Dr.

Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

Meta visited my London home to test the new Meta Ray-Ban Display glasses and Neural Band — exploring accessibility, gesture, and voice control.

To foster innovation in this area, and to deepen our collaboration with academia, Reality Labs’ EMG Foundational Research team is pleased to invite faculty to submit their ideas to this request for re...

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

Learning new sequential movements is a fundamental skill for many animals. Motor sequence learning may arise from three distinct processes: (1) improved execution of individual movements independent o...

A recent article makes a claim with far-reaching implications for neuroscience, technology, and society: that the human brain is subject to an information processing ‘speed limit’ of 10 bits per secon...

Understanding the behavior of deep reinforcement learning (DRL) agents -- particularly as task and agent sophistication increase -- requires more than simple comparison of reward curves, yet standard ...

Recurrent neural networks (RNNs) trained on neuroscience-inspired tasks offer powerful models of brain computation. However, typical training paradigms rely on open-loop, supervised settings, whereas ...

Modern large-scale recordings have revealed that motor cortex activity during reaching follows low-dimensional dynamics, thought to reflect sensorimotor computations. However, the origin of these patt...

POYO+: Multi-session, multi-task neural decoding from distinct cell-types and brain regions