Stability of chronic multichannel neural recordings: Implications for a long-term neural interface

Stability of chronic multichannel neural recordings: Implications for a long-term neural interface

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...

A multichannel telemetry system for single unit neural recordings.

We present the design, testing, and evaluation of a 16 channel wearable telemetry system to facilitate multichannel single unit recordings from freely moving test subjects. Our design is comprised of (1) a 16-channel analog front end board to condition and sample signals derived from implanted neural electrodes, (2) a digital board for processing and buffering the digitized waveforms, and (3) a...

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

A tailored biocompatible neural interface for long term monitoring in neural networks

Neural interface electrodes that can record from neurons in the brain for long periods of time will be of great importance to unravel how the brain accomplishes its functions. However, current electrodes usually cause significant glia reactions and loss of neurons within the adjacent brain parenchyma. To address this challenge, a novel, polymer-based neural probe, with protrusions tailored to t...

Carbon Nanotubes as Suitable Interface for Improving Neural Recordings