Neurobot: Documentation Archives

Documentation

June 03, 2009

Classic neuroscience papers

Society for Neuroscience provides access to a sample of high impact classic papers addressing a range of neuroscience topics....

Posted by Dimitrios A. Adamos at 11:28 AM | Comments (0)
Posted to Brain Research | Documentation | Neurophysiology

Documentation

September 09, 2008

Performance evaluation of PCA-based spike sorting algorithms

Adamos DA, Kosmidis EK and Theophilidis G Deciphering the electrical activity of individual neurons from multi-unit noisy recordings is critical for understanding complex neural systems. A widely used spike sorting algorithm is being evaluated for single-electrode nerve trunk recordings. The...

Posted by Dimitrios A. Adamos at 10:14 AM | Comments (0)
Posted to Clustering | Documentation | Neurophysiology | Spike Sorting

Documentation

July 21, 2008

Review: Reliability, synchrony and noise

This review describes a constructive role for noise in synchronizing populations of neurons. Trends Neurosci. 2008 Jul 4. [Epub ahead of print] Reliability, synchrony and noise. Ermentrout GB, Galán RF, Urban NN....

Posted by Dimitrios A. Adamos at 11:28 AM | Comments (0)
Posted to Brain Research | Documentation | Neurophysiology | Statistical Analysis

Documentation

August 22, 2007

Linear and non-linear methods for brain-computer interfaces

This paper includes examples applying EEG data sets to linear and non-linear methods. Also an overview of the various pros and cons of each approach is summarised....

Posted by Dimitrios A. Adamos at 11:15 PM | Comments (0)
Posted to Brain Interfaces | Documentation

Documentation

July 11, 2007

Brain–Computer Interface Technology: A Review of the First International Meeting

"Over the past decade, many laboratories have begun to explore brain–computer interface (BCI) technology as a radically new communication option for those with neuromuscular impairments that prevent them from using conventional augmentative communication methods.BCI’s provide these users with communication channels...

Posted by Dimitrios A. Adamos at 11:23 AM | Comments (0)
Posted to Brain Interfaces | Documentation

Documentation

May 25, 2007

A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals

"Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending commands to the external world using the electroencephalographic activity or other electrophysiological measures of the brain function. An essential factor in the successful operation of BCI systems is the...

Posted by Dimitrios A. Adamos at 09:29 AM | Comments (0)
Posted to Brain Interfaces | Documentation

Documentation

A review of classification algorithms for EEG-based brain–computer interfaces

The authors review classification algorithms used to design brain–computer interface (BCI) systems based on electroencephalography (EEG)....

Posted by Dimitrios A. Adamos at 09:22 AM | Comments (0)
Posted to Brain Interfaces | Documentation

Documentation

March 16, 2007

How Behavioral Constraints May Determine Optimal Sensory Representations

"The sensory-triggered activity of a neuron is typically characterized in terms of a tuning curve, which describes the neuron's average response as a function of a parameter that characterizes a physical stimulus. What determines the shapes of tuning curves in...

Posted by Dimitrios A. Adamos at 11:56 AM | Comments (0)
Posted to Documentation | Information Theory

Documentation

September 07, 2006

Towards adaptive classification for BCI

"Non-stationarities are ubiquitous in EEG signals. They are especially apparent in the use of EEG-based brain-computer interfaces (BCIs): (a) in the differences between the initial calibration measurement and the online operation of a BCI, or (b) caused by changes in...

Posted by Dimitrios A. Adamos at 09:54 AM | Comments (0)
Posted to Brain Interfaces | Documentation

Documentation

June 03, 2006

Membrane and Action Potential : Properties of Excitable Membranes

Neurophysiology is a study of neurons, nerves, and nervous systems, what they do and how they do it. A neuron is a cell that is specialized in two of the fundamental properties of living matter, namely excitability and conductivity. Excitability...

Posted by Dimitrios A. Adamos at 12:59 AM | Comments (0)
Posted to Documentation | Neurophysiology

Documentation

May 08, 2006

Decoding neuronal firing and modeling neural networks

Biological neural networks are large systems of complex elements interacting through a complex array of connections. How do we describe and interpret the activity of a large population of neurons and how do we model neural circuits when: o individual...

Posted by Dimitrios A. Adamos at 09:45 PM | Comments (0)
Posted to Documentation | Neural Networks

Documentation

April 26, 2006

Information theory and neural coding

Information theory quantifies how much information a neural response carries about the stimulus. This can be compared to the information transferred in particular models of the stimulus-response function and to maximum possible information transfer. Such comparisons are crucial because they...

Posted by Dimitrios A. Adamos at 04:04 PM | Comments (0)
Posted to Documentation | Information Theory

Documentation

March 23, 2006

Entropy and Information in Neural Spike Trains

The nervous system represents time-dependent signals in sequences of discrete action potentials or spikes, all spikes are identical so that information is carried only in the spike arrival times. A scientific paper by Steven P. Strong, Roland Koberle, Rob R....

Posted by Dimitrios A. Adamos at 10:04 PM | Comments (0)
Posted to Documentation | Information Theory

Documentation

March 19, 2006

Quantifying the information transmitted in a single stimulus

Shannon mutual information provides a measure of how much information is, on average, contained in a set of neural activities about a set of stimuli. It has been extensively used to study neural coding in different brain areas. To apply...

Posted by Dimitrios A. Adamos at 07:51 PM | Comments (0)
Posted to Documentation | Information Theory

Documentation

March 10, 2006

Expectation Maximization Theory

An article on Expectation Maximization Theory, taken from the book "Biometric Authentication: A Machine Learning Approach". The article/book-chapter addresses a data-clustering algorithm, called the expectation-maximization (EM) algorithm, when complete or partial information of observed data is made available. The book...

Posted by Dimitrios A. Adamos at 03:15 PM | Comments (0)
Posted to Clustering | Documentation

Documentation

February 23, 2006

Multiple neural spike train data analysis: state-of-the-art and future challenges

Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges...

Posted by Dimitrios A. Adamos at 02:17 AM | Comments (0)
Posted to Documentation | Spike Sorting | Statistical Analysis

Documentation

June 14, 2005

Networks of Spiking Neurons: A New Generation of Neural Network Models

A nice article trying to give the reader an intuition what computer scientists can contribute to the question how the brain works....

Posted by Dimitrios A. Adamos at 01:23 PM | Comments (0)
Posted to Documentation | Neural Networks

Documentation

Pulsed Neural Networks and their Application

Pulsed neural networks are networks of spiking neurons, which represent an entirely new class of artificial neurons. The paper presents an overview of pulsed neural networks, including the structure, function and available training mechanisms for networks of spiking neurons....

Posted by Dimitrios A. Adamos at 01:18 PM | Comments (0)
Posted to Documentation | Neural Networks