In the mammalian nervous system, the sensorimotor interface between cortex and spinal cord plays a key role in novel skill formation and motor learning. We seek to understand the principles of motor learning at this interface using a multidisciplinary approach. We believe this approach will prove relevant to the development of biomimetic control architectures for humanoid robots. Learning at this interface requires an understanding of the spinal output structures. Ultimately, these must form the basis of the algorithms needed for adaptive motor learning. These spinal structures interact with descending cortical control to produce accurate limb trajectories, and novel motor behavior. © 2001 Elsevier Science B.V. All rights reserved
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
The versatility of the spinal cord as a sophisticated processor of information has been continually ...
The Problem: How does the human neural circuitry control posture and voluntary movements? Humans are...
Whenever we perform a movement and interact with objects in our environment, our central nervous sys...
We study a novel architecture and training procedure for locomotion tasks. A high-frequency, low-lev...
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
Mammalian motor control is implemented by a combination of different networks and system, working co...
The neural circuitry of the spinal cord is capable of solving some of the most complex problems in m...
In the study of sensorimotor systems, an important research goal has been to understand the way neur...
The control of human locomotion engages various brain structures and numerous muscles. Even though t...
This paper describes a neural learning architecture for control of legged robots inspired by mammali...
The restoration and rehabilitation of human movement are of great interest to the field of neural in...
The Problem: How does the animal (and especially the human) brain organize and execute control of ba...
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
The versatility of the spinal cord as a sophisticated processor of information has been continually ...
The Problem: How does the human neural circuitry control posture and voluntary movements? Humans are...
Whenever we perform a movement and interact with objects in our environment, our central nervous sys...
We study a novel architecture and training procedure for locomotion tasks. A high-frequency, low-lev...
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of ar...
Mammalian motor control is implemented by a combination of different networks and system, working co...
The neural circuitry of the spinal cord is capable of solving some of the most complex problems in m...
In the study of sensorimotor systems, an important research goal has been to understand the way neur...
The control of human locomotion engages various brain structures and numerous muscles. Even though t...
This paper describes a neural learning architecture for control of legged robots inspired by mammali...
The restoration and rehabilitation of human movement are of great interest to the field of neural in...
The Problem: How does the animal (and especially the human) brain organize and execute control of ba...
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
Neuromechanics seeks to understand how muscles, sense organs, motor pattern generators, and brain in...
The versatility of the spinal cord as a sophisticated processor of information has been continually ...