Journal ArticleLocal field potentials (LFPs) in the brain are an important source of information for basic research and clinical (i.e., neuroprosthetic) applications. The energy contained in certain bands of LFPs in the 10-100 Hz range has been shown to correlate with specific arm movement parameters in nonhuman primates. In the near future, implantable devices will need to transmit neural information from hundreds of microelectrodes, and transcutaneous data transfer will become a significant bottleneck. Here we present a low-power, fully integrated circuit that performs on-site data reduction by isolating LFPs and measuring their signal energy. The resulting analog VLSI circuit consumes 586 μm × 79 μm of silicon area and dissipates only 5...
This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications ...
An important challenge for neural prosthetics research is to record from populations of neurons over...
The emergence of miniaturized electronic sensors for recording neural activity is opening up new opp...
This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications ...
Journal ArticleThe advent of microelectrode arrays allowing for the simultaneous recording of 100 or...
This paper investigates to what extent Long ShortTerm Memory (LSTM) decoders can use Local Field Pot...
Brain-Machine Interfaces (BMIs) have been developed in the past few decades to establish a bridge be...
Paralysis has impacted the lives of millions of people, limiting not just their movement and quality...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Journal ArticleThere is a need among scientists and clinicians for lownoise, low-power biosignal amp...
Journal ArticleIn the past decade, neuroscientists and clinicians have begun to use implantable MEMS...
Journal ArticleWe present benchtop and in vivo experimental results from an integrated circuit desi...
Clinically viable and minimally invasive neural interfaces stand to revolutionize disease care for p...
A powerful approach to the characterization of cellular electrical activity is electrical recording ...
Brain neuroprostheses for neuromodulation are being designed to monitor the neural activity of the b...
This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications ...
An important challenge for neural prosthetics research is to record from populations of neurons over...
The emergence of miniaturized electronic sensors for recording neural activity is opening up new opp...
This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications ...
Journal ArticleThe advent of microelectrode arrays allowing for the simultaneous recording of 100 or...
This paper investigates to what extent Long ShortTerm Memory (LSTM) decoders can use Local Field Pot...
Brain-Machine Interfaces (BMIs) have been developed in the past few decades to establish a bridge be...
Paralysis has impacted the lives of millions of people, limiting not just their movement and quality...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Journal ArticleThere is a need among scientists and clinicians for lownoise, low-power biosignal amp...
Journal ArticleIn the past decade, neuroscientists and clinicians have begun to use implantable MEMS...
Journal ArticleWe present benchtop and in vivo experimental results from an integrated circuit desi...
Clinically viable and minimally invasive neural interfaces stand to revolutionize disease care for p...
A powerful approach to the characterization of cellular electrical activity is electrical recording ...
Brain neuroprostheses for neuromodulation are being designed to monitor the neural activity of the b...
This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications ...
An important challenge for neural prosthetics research is to record from populations of neurons over...
The emergence of miniaturized electronic sensors for recording neural activity is opening up new opp...