Concept

Artificial neuron

Related publications (288)

Enhancing synchronizability of weighted dynamical networks using betweenness centrality

Martin Hasler, Ali Ajdari Rad, Mahdi Jalili

By considering the eigenratio of the Laplacian of the connection graph as a synchronizability measure, we propose a procedure for weighting dynamical networks to enhance their synchronizability. The method is based on node and edge betweenness centrality m ...

2008

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Samy Bengio

We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biologically observed. The model is further driven by a supervised learning algo ...

2007

Adaptive Sleep/Wake Classification Based on Cardiorespiratory Signals for Wearable Devices

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...

IEEE Press2007

Evolving Neuromodulatory Topologies for Reinforcement Learning-like Problems

Dario Floreano, Claudio Mattiussi, Peter Dürr, Andrea Soltoggio

Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advantage. Recent studies suggest that neuromodulatory dynamics are a key factor in reg ...

IEEE Press2007

Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: Synaptic Memory and Weight Distribution

Wulfram Gerstner, Jean-Pascal Théodor Pfister, Taro Toyoizumi

We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (1) synapses adapt their weights so that neurons can effectively transmit information, (2) homeostatic processes stabilize the mean firing rate of the postsynaptic ne ...

Massachusetts Institute of Technology Press2007

Unsupervised Speech/Non-speech Detection for Automatic Speech Recognition in Meeting Rooms

Daniel Gatica-Perez, Petr Motlicek

The goal of this work is to provide robust and accurate speech detection for automatic speech recognition (ASR) in meeting room settings. The solution is based on computing long-term modulation spectrum, and examining specific frequency range for dominant ...

2007

A system for automatic on-line time detection and classification of neural spikes based on a digital signal processor and a FPGA controller

Diego Ghezzi

Definition of single spikes from multiunit spike trains plays a critical role in neurophysiology and in neuroengineering as it does the question of how much information is encoded by single neurons in a neuronal network. Moreover, the possibility to develo ...

2007

Direct optimisation of a multilayer perceptron for the estimation of cepstral mean and variance statistics

John David Scott Dines

We propose an alternative means of training a multilayer perceptron for the task of speech activity detection based on a criterion to minimise the error in the estimation of mean and variance statistics for speech cepstrum based features using the Kullback ...

IDIAP2007

MLP-based Log Spectral Energy Mapping for Robust Overlapping Speech Recognition

Hervé Bourlard, John David Scott Dines, Weifeng Li

This paper investigates a multilayer perceptron (MLP) based acoustic feature mapping to extract robust features for automatic speech recognition (ASR) of overlapping speech. The MLP is trained to learn the mapping from log mel filter bank energies (MFBEs) ...

IDIAP2007

Resonant neurons and bushcricket behaviour

Auke Ijspeert, Jonas Buchli

The resonant properties of the intrinsic dynamics of single neurons could play a direct role in behaviour. One plausible role is in the recognition of temporal patterns, such as that seen in the auditory communication systems of Orthoptera. Recent behaviou ...

2007

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