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Next: Probability Density Functions Up: Examples of Motor Field Previous: Continuous Transformation of Direction

Fields Associated with Posterior Parietal Cortex

Andersen (1995) surveys research indicating that the transformation from retina-centered coordinates to head- or body-centered coordinates can be understood in terms of fields associated with neurons in area 7a of the posterior parietal cortex. When the eye position is fixed, these neurons exhibit an ordinary receptive field (defined over retinal coordinates) in their response to a stimulus. On the other hand, when the position of the stimulus on the retina is fixed, then these neurons exhibit a response that varies linearly with eye position; this is described by a linear gain field, defined over eye position, and has a characteristic direction. Specifically, a linear gain field is described by a direction vector , which is its gradient, ; thus, at all positions . Under normal conditions the response of the neuron is a product of the receptive field and the linear gain field, and so its response is defined over the four dimensions of retinal and eye position. The result is a neuron tuned to particular locations in head-centered space, but only for certain ranges of eye position. Therefore, single neurons cannot encode locations in head-centered space, but a field of neurons can combine their responses into a population code for head-centered locations. The resulting field has a well-defined minimum in head-centered space, which can represent the destination of a motion (such as a saccade) and, by means of its gradient, a path to that destination.

Andersen (1995) also surveys studies of ocular motion planning in the lateral intraparietal area of the posterior parietal cortex (see also Goodman & Andersen 1989). Microstimulation of neurons create eye movements that can be described as vector fields (giving the direction and amount of motion) over head-centered coordinates. Three kinds of fields are typically found: (1) constant vector fields ( for all locations ), (2) vector fields of constant direction but decreasing amplitude ( , that is, the positive part of ), and (3) weakly convergent vector fields, which rarely reverse direction. On the other hand, in simulation studies, microstimulation of two or more neurons created strongly convergent motion fields by vector summation of the individual fields of the neurons. The gradient of such s field defines the paths, in head-centered space, to the location defined by the minimum.


next up previous
Next: Probability Density Functions Up: Examples of Motor Field Previous: Continuous Transformation of Direction

Bruce MacLennan
Wed Oct 2 16:55:07 EDT 1996