What determines the specific pattern of activation of primary motor cortex (M1) neurons in the context of a given motor task? We present a systems level physiological model describing the transformation from the neural activity in M1, through the muscle control signal, into joint torques and down to endpoint forces and movements. The redundancy of the system is resolved by biologically plausible optimization criteria. The model explains neural activity at both the population, and single neuron, levels. Due to the model's relative simplicity and analytic tractability, it provides intuition as to the most salient features of the system, as well as a possible causal explanation of how these determine the overall behavior. Moreover, it exp...
AbstractIn this issue of Neuron, Jackson and colleagues describe a functional correlate of neural sy...
Dorsal premotor (PMd) and primary motor (M1) cortices play a central role in mapping sensation to mo...
Abstract-Brain machine interface (BMI) design can be achieved by training linear and nonlinear model...
In this issue of Neuron, Ajemian et al. present a computational model of the activity of neurons in ...
The motor cortex was the one of the first cortical areas to be explored electrophysiologically, yet ...
Primary motor cortex (M1) activity correlates with many motor variables, making it difficult to demo...
Populations of cortical neurons flexibly perform different functions; for the primary motor cortex (...
SummaryNeurons in monkey primary motor cortex (M1) tend to be most active for certain directions of ...
What aspects of movement are represented in the primary motor cortex (M1): relatively low-level para...
It remains an open question how neural responses in motor cortex relate to movement. We explored the...
The Problem: To develop a model that can account for experimental sensorimotor cortical activity obs...
The motor cortex controls motor behaviors by generating movement-specific signals and transmitting t...
The human sensorimotor control system has exceptional abilities to perform skillful actions. We easi...
The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional...
A central problem in motor research has been to understand how sensory signals are transformed to ge...
AbstractIn this issue of Neuron, Jackson and colleagues describe a functional correlate of neural sy...
Dorsal premotor (PMd) and primary motor (M1) cortices play a central role in mapping sensation to mo...
Abstract-Brain machine interface (BMI) design can be achieved by training linear and nonlinear model...
In this issue of Neuron, Ajemian et al. present a computational model of the activity of neurons in ...
The motor cortex was the one of the first cortical areas to be explored electrophysiologically, yet ...
Primary motor cortex (M1) activity correlates with many motor variables, making it difficult to demo...
Populations of cortical neurons flexibly perform different functions; for the primary motor cortex (...
SummaryNeurons in monkey primary motor cortex (M1) tend to be most active for certain directions of ...
What aspects of movement are represented in the primary motor cortex (M1): relatively low-level para...
It remains an open question how neural responses in motor cortex relate to movement. We explored the...
The Problem: To develop a model that can account for experimental sensorimotor cortical activity obs...
The motor cortex controls motor behaviors by generating movement-specific signals and transmitting t...
The human sensorimotor control system has exceptional abilities to perform skillful actions. We easi...
The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional...
A central problem in motor research has been to understand how sensory signals are transformed to ge...
AbstractIn this issue of Neuron, Jackson and colleagues describe a functional correlate of neural sy...
Dorsal premotor (PMd) and primary motor (M1) cortices play a central role in mapping sensation to mo...
Abstract-Brain machine interface (BMI) design can be achieved by training linear and nonlinear model...