Chronic microstimulation-based devices are being investigated to treat conditions such as blindness, deafness, pain, paralysis, and epilepsy. Small-area electrodes are desired to achieve high selectivity. However, a major trade-off with electrode miniaturization is an increase in impedance and charge density requirements. Thus, the development of novel materials with lower interfacial impedance...

Non-stationarity is inherent in EEG data. We propose a concept for an adaptive brain computer interface (BCI) that adapts a classifier to the changes in EEG data. It combines labeled and unlabeled data acquired during normal operation of the system. The classifier is based on Fuzzy Neural Gas (FNG), a prototype-based classifier. Based on four data sets we show that retraining the classifier sig...

Chronic multichannel neural recording has emerged as a powerful technique for studying dynamic brain function. In many experimental paradigms, it is important that the same neurons be recorded from day to day. The objective of this study was to develop methods for tracking the recorded neural population over time through analysis of unit waveforms, principle component clusters and response prop...

Neural field models describe the coarse-grained activity of populations of interacting neurons. Because of the laminar structure of real cortical tissue they are often studied in two spatial dimensions, where they are well known to generate rich patterns of spatiotemporal activity. Such patterns have been interpreted in a variety of contexts ranging from the understanding of visual hallucinatio...

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 that are manufactured by hand, have a...

Neural implants are technical systems that restore sensory or motor functions after injury and modulate neural behavior in neuronal diseases. Neural interfaces or prostheses have lead to new therapeutic options and rehabilitation approaches in the last 40 years. The interface between the nervous tissue and the technical material is the place that determines success or failure of the neural impl...

A fully implantable neural data acquisition system is a key component of a clinically viable cortical brain-machine interface. We present the design and implementation of a single-chip device that serves the processing needs of such a system. Our device processes 96 channels of multi-unit neural data and performs all digital processing necessary for bidirectional wireless communication. The imp...

Chronically implantable wireless neural interface devices require biocompatible and stable high density integration of several components such as sensing elements, data processors, communication, and power supply coils. Biocompatible integration technology has been developed for Utah Electrode Array (UEA) based implantable neural interface devices. These interface devices comprise: silicon base...