Publication

Asynchronous BCI and Local Neural Classifiers: An Overview of the Adaptive Brain Interface Project

2003
Journal Articles

Abstract

In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-paced decisions on when to switch from a mental task to the next) that responds every 1/2 second. A local neural classifier tries to recognize three different mental tasks, but may also respond unknown for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with different subjects (around 15 up to now). We also describe briefly two brain-actuated applications we have developed, namely a virtual keyboard and a mobile robot (similar to a motorized wheelchair).

Official source

https://infoscience.epfl.ch/entities/publication/e0c3d6e1-912c-45e9-8f02-e94dca82b5c1

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2003
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/e0c3d6e1-912c-45e9-8f02-e94dca82b5c1

About this result

Related concepts (32)

Convolutional neural network

Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) optimization. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer connections. For example, for each neuron in the fully-connected layer 10,000 weights would be required for processing an image sized 100 × 100 pixels.

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Artificial neural network

Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons.

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Asynchronous BCI and Local Neural Classifiers: An Overview of the Adaptive Brain Interface Project

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