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Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts

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Example-based Support Vector Machine for Drug Concentration Analysis

Giovanni De Micheli, Wenqi You Dubout

Machine learning has been largely applied to ana- lyze data in various domains, but it is still new to personalized medicine, especially dose individualization. In this paper, we focus on the prediction of drug concentrations using Support Vector Machines ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Decoding of attention deployment

Michael Herzog, Gijs Plomp, Yvonne Evelina Thunell

Attending to an object can strongly modulate the neural processing of this object. Using average EEG, it was shown that small differences in the focus of attention yield large and long lasting changes in brain dynamics (Plomp et al, 2009). Here, we show th ...

2010

Code-specific policy gradient rules for spiking neurons

Wulfram Gerstner, Guillaume Hennequin

Although it is widely believed that reinforcement learning is a suitable tool for describing behavioral learning, the mechanisms by which it can be implemented in networks of spiking neurons are not fully understood. Here, we show that different learning r ...

Massachusetts Institute of Technology Press2009

Evolutionary Selection of Features for Neural Sleep/Wake Discrimination

Dario Floreano, Claudio Mattiussi, Walter Karlen, Peter Dürr, Jérémie Guignard

In biomedical signal analysis, artificial neural networks are often used for pattern classification because of their capability for nonlinear class separation and the possibility to efficiently implement them on a microcontroller. Typically, the network to ...

Hindawi Publishing Corporation2009

Subjective mental time: the functional architecture of projecting the self to past and future

Olaf Blanke, Silvio Ionta

Human experience takes place in the line of mental time (MT) created through 'self-projection' of oneself to different time-points in the past or future. Here we manipulated self-projection in MT not only with respect to one's life events but also with res ...

Wiley-Blackwell2009

Optimization framework for calibration of constitutive models enhanced by neural networks

Laurent Vulliet, Rafal Filip Obrzud

A two-level procedure designed for the estimation of constitutive model parameters is presented in this paper. The neural network (NN) approach at the first level is applied to achieve the first approximation of parameters. This technique is used to avoid ...

2009

Motor intention in the posterior parietal cortex

Jugoslava Acimovic

The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...

EPFL2008

Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks

Brice Bathellier

Fast oscillations and in particular gamma-band oscillation (20-80 Hz) are commonly observed during brain function and are at the center of several neural processing theories. In many cases, mathematical analysis of fast oscillations in neural networks has ...

Massachusetts Institute of Technology Press2008

The Projectron: a Bounded Kernel-Based Perceptron

Barbara Caputo

We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernel-based Perceptron for storing the online hypothesis is not bounded. Previous work has been ...

2008

The Projectron: a Bounded Kernel-Based Perceptron

Barbara Caputo

IDIAP2008