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Motor neuroprosthetics research has focused on reproducing natural limb motions by correlating firing rates of cortical neurons to continuous movement parameters. We propose an alternative system where specific spatial-temporal spike patterns, emerging in tasks, allow detection of classes of behavior with the aid of sophisticated nonlinear classification(More)
Principal component analysis was performed on recorded neural spike trains in rats' motor cortices when rats were involved in real-time control tasks using brain-machine interfaces. The rat with implanted microelectrode array was placed in a conditioning chamber, but freely moving, to decide which one of the two paddles should be activated to shift the cue(More)
A unique structure for chronically implantable cortical electrodes using polyimide polymer was devised, which provides both flexibility between brain tissues and skull and stiffness for easy insertion. The fabricated implants are tri-shanks with 5 recording sites (20/spl times/20 /spl mu/m) and 2 vias per electrode of 40/spl times/40 /spl mu/m. Each(More)
A closed-loop brain-machine interface system (BMI) was implemented using freely-moving rats. Instead of reproducing continuous natural limb movements as in many other BMI work, abstract supervisory control commands such as Go left, Go right, were extracted from neurons in the motor and premotor areas of the rats brain. The control output was thus formulated(More)
This study emanates from the desire to understand changes in neural signals observed when rats used a brain machine interface (BMI) to control a directional task. In this system, firing rates were estimated from several (8-10) motor cortical neurons at several consecutive time points. These firing rates were concatenated to form a neural activity vector(More)
In our previous work, a non-stereotypical brain machine interface system was implemented with freely-moving rats, and a nonlinear support vector machine (SVM) classifier was used to map neural signals in the rats' motor cortices onto a set of discrete classes of directions (left and right). In this paper, we provide a comprehensive analysis about the(More)
While BMI systems abound, little care has been exercised over practical considerations in the day to day use of such systems. This paper proposes to learn a Start-Stop switch to augment a directional BMI. Taken together, the hope is that a BMI could be constructed that would be able to signal the appropriate directional intent when called upon and be(More)
Principle component analysis (PCA) was performed on recorded neuronal action potentials from neural ensembles in rat's motor cortex when the rat was involved in a closed-loop real-time brain machine interface (BCI). The implanted rat was placed in a conditioning chamber, but freely moving, to decide which one of the two paddles should be activated to shift(More)
Multi-channel micro-electrode arrays provide unmatched spatio-temporal resolution for assessing the activity of populations of neurons. These neural implants provide a powerful tool for developing a better understanding of cortical processing, as well as provide an intimate interface for neuroprosthetic applications. Over the years, micro-wire based devices(More)
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