Search research articles

Search research articles

Related Experiment Videos

Converting neural signals from place codes to rate codes.

¹Center for Cognitive Neuroscience and Department of Psychological and Brain Sciences, Dartmouth, Hanover, NH 03755, USA. jennifer.m.groh@dartmouth.edu

Biological Cybernetics

|September 20, 2001

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Afferent delays and the mislocalization of perisaccadic stimuli.

Vision research·2001

Same author

Eye position influences auditory responses in primate inferior colliculus.

Neuron·2001

Same author

Segregation of object and background motion in visual area MT: effects of microstimulation on eye movements.

Neuron·2000

Same author

Predicting perception from population codes.

Nature neuroscience·2000

Same author

Reading neural representations.

Neuron·1998

Same author

Neurophysiology: electrically evoking sensory experience.

Current biology : CB·1998

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

The brain converts sensory place codes to motor rate codes using three potential models. This process is crucial for generating movements based on sensory input.

Area of Science:

Neuroscience
Computational Neuroscience
Motor Control

Background:

The nervous system encodes information using distinct formats.
Sensory signals often utilize a 'place code,' where neural activity patterns represent parameter values.
Motor commands typically employ 'rate coding,' with muscle force determined by motor neuron firing rates.

Purpose of the Study:

To explore how the brain transforms place codes into rate codes.
To present and discuss three theoretical models for this neural computation.
To elucidate the mechanisms underlying sensory-to-motor conversion.

Main Methods:

Theoretical modeling of neural coding.
Analysis of neural signal transformation.
Discussion of computational principles in motor control.

Related Experiment Videos

Main Results:

Three distinct models for place-to-rate code conversion are proposed.
Each model offers a different mechanism for translating sensory representations into motor commands.
The study outlines the potential neural substrates and computational steps involved.

Conclusions:

The conversion from place code to rate code is a fundamental process in motor control.
Understanding these models provides insight into neural computation and movement generation.
Further research can experimentally validate these proposed mechanisms.