Publication

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Related publications (40)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Graph Chatbot

Chat with Graph Search

Financial Risk Management with Machine Learning

Predicting in Uncertain Environments: Methods for Robust Machine Learning

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Smart pooling: AI-powered COVID-19 informative group testing

A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC

Population pharmacokinetic model selection assisted by machine learning

Biologically plausible unsupervised learning in shallow and deep neural networks

Loss landscape and symmetries in Neural Networks

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Loss landscape and symmetries in Neural Networks

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Population pharmacokinetic model selection assisted by machine learning

Predicting in Uncertain Environments: Methods for Robust Machine Learning

A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC

Smart pooling: AI-powered COVID-19 informative group testing

Biologically plausible unsupervised learning in shallow and deep neural networks

Financial Risk Management with Machine Learning

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks