Biomedical subjects

David Zipser

Publications and source records attributed to David Zipser.

3 recordsLinked to original sources

PubMed2003

Simultaneous control of hand displacements and rotations in orientation-matching experiments.

In reach-to-grasp movements, the interaction between the hand changes in position and those in orientation is poorly understood. A theoretical approach previously proposed (Torres EB and Zipser D. J Neurophysiol 88: 1-13, 2002) assumes that motion strategies are resolved in space independently from the temporal dynamics of the motion and predicts the coarticulation of the hand transport and rotation along the path. The model implies that this simultaneous control is independent of variations in speed and initial posture and required matching orientation. This paper presents experimental data from human subjects that confirm the model's predictions in the context of realistic, unconstrained, orientation-matching motions. Speed independence is quantified in the similarity of the postural and endpoint position-orientation paths obtained under three different speeds. Significant differences in hand and joint kinematics are shown in response to changes in initial posture and target orientation. The robustness of coarticulation under all three experimental conditions supports the idea of an intermediate stage that resolves the geometry of the motion independent of its temporal dynamics.

Arm↗

PubMed2003

Sequential memory-guided saccades and target selection: a neural model of the frontal eye fields.

We present a neural model of the frontal eye fields. It consists of several retinotopic arrays of neuron-like units that are recurrently connected. The network is trained to make memory-guided saccades to sequentially flashed targets that appear at arbitrary locations. This task is interesting because the large number of possible sequences does not permit a pre-learned response. Instead locations and their priority must be maintained in active working memory. The network learns to perform the task. Surprisingly, after training it can also select targets in visual search tasks. When targets are shown in parallel it chooses them according to their salience. Its search behavior is comparable to that of humans. It exhibits saccadic averaging, increased reaction times with more distractors, latency vs accuracy trade-offs, and inhibition of return. Analysis of the network shows that it operates like a queue, storing the potential targets in sequence for later execution. A small number of unit types are sufficient to encode this information, but the manner of coding is non-obvious. Units respond to multiple targets similar to quasi-visual cells recently studied [Exp. Brain Res. 130 (2000) 433]. Predictions are made that can be experimentally tested.

Fixation, Ocular↗

PubMed2002

Reaching to grasp with a multi-jointed arm. I. Computational model.

The generation of goal-directed movements requires the solution of many difficult computational problems. Among these are transformations from extrinsic to intrinsic reference frames, specifying solution paths, removing under-specification due to excess degrees of freedom and path multiplicity, constraint satisfaction, and error correction. There are no current motor-control computational models that address these issues in the context of realistic arm movement with redundant degrees of freedom. In this paper, we conjecture there is a geometric stage between sensory input and physical execution. The geometric stage determines movement trajectories independently of forces. It uses a gradient technique that relies on the metric of the space of postures to resolve endpoint path selection, posture-change specification, error correction, and multiple constraint satisfaction on-line without preplanning. The model is instantiated in an arm with seven degrees of freedom that moves in three-dimensional space. Simulated orientation-matching movements are compared with actual human movement data to assess the validity of several of the model's behavioral predictions.

Algorithms↗