Converting neural signals from place codes to rate codes

Abstract. The nervous system uses two basic types of formats for encoding information. The parameters of many sensory (and some premotor) signals are represented by the pattern of activity among an array of neurons each of which is optimally responsive to a different parameter value. This type of code is commonly referred to as a place code. Motor commands, in contrast, use rate coding: the desired force of a muscle is specified as a monotonic function of the aggregate rate of discharge across all of its motor neurons. Generating movements based on sensory information often requires converting signals from a place code to a rate code. In this paper I discuss three possible models for how the brain does this.

[1]  Christian Quaia,et al.  Distributed model of control of saccades by superior colliculus and cerebellum , 1998, Neural Networks.

[2]  C. Scudder A new local feedback model of the saccadic burst generator. , 1988, Journal of neurophysiology.

[3]  Peter H. Schiller,et al.  Paired stimulation of the frontal eye fields and the superior colliculus of the rhesus monkey , 1979, Brain Research.

[4]  D. Sparks,et al.  Site and parameters of microstimulation: evidence for independent effects on the properties of saccades evoked from the primate superior colliculus. , 1996, Journal of neurophysiology.

[5]  S. McKee,et al.  Precise velocity discrimination despite random variations in temporal frequency and contrast , 1986, Vision Research.

[6]  E I Knudsen,et al.  Neural maps of head movement vector and speed in the optic tectum of the barn owl. , 1990, Journal of neurophysiology.

[7]  N R BARTLETT,et al.  Latency and duration of eye movements in the horizontal plane. , 1962, Journal of the Optical Society of America.

[8]  D. Sparks,et al.  Population coding of saccadic eye movements by neurons in the superior colliculus , 1988, Nature.

[9]  C D Salzman,et al.  Neural mechanisms for forming a perceptual decision. , 1994, Science.

[10]  P. Thompson,et al.  Speed estimates from grating patches are not contrast-normalized , 1996, Vision Research.

[11]  D. Heeger Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.

[12]  J. Bullier,et al.  Axons, but not cell bodies, are activated by electrical stimulation in cortical gray matter II. Evidence from selective inactivation of cell bodies and axon initial segments , 1998, Experimental Brain Research.

[13]  J. Bullier,et al.  Axons, but not cell bodies, are activated by electrical stimulation in cortical gray matter I. Evidence from chronaxie measurements , 1998, Experimental Brain Research.

[14]  Robert J. Snowden,et al.  Subtractive and divisive adaptation in the human visual system , 1992, Nature.

[15]  D. Sparks,et al.  Size and distribution of movement fields in the monkey superior colliculus , 1976, Brain Research.

[16]  W T Newsome,et al.  How Is a Sensory Map Read Out? Effects of Microstimulation in Visual Area MT on Saccades and Smooth Pursuit Eye Movements , 1997, The Journal of Neuroscience.

[17]  P. Thompson,et al.  Human speed perception is contrast dependent , 1992, Vision Research.