Concept

Artificial neuron

Related publications (288)

Planck 2013 results. XXXII. The updated Planck catalogue of Sunyaev-Zeldovich sources

Xin Chen, Julien Lesgourgues, Fabio Finelli

We update the all-sky Planck catalogue of 1227 clusters and cluster candidates (PSZ1) published in March 2013, derived from detections of the Sunyaev-Zeldovich (SZ) effect using the first 15.5 months of Planck satellite observations. As an addendum, we del ...

Edp Sciences S A2015

BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

Sean Lewis Hill

Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely r ...

Elsevier2015

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology

Pierre-André Farine, Rafal Tomasz Dlugosz

The paper presents a new initialization mechanism based on a Convex Combination Method (CCM) for Kohonen self-organizing Neural Networks (NNs) realized in the CMOS technology. A proper selection of initial values of the neuron weights exhibits a strong imp ...

Elsevier Science Inc2015

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

José del Rocio Millán Ruiz, Robert Leeb

In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of BCI applications ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Cooperative and competitive spreading dynamics on the human connectome

Alessandra Griffa, Patric Hagmann, Olaf Sporns

Increasingly detailed data on the network topology of neural circuits create a need for theoretical principles that explain how these networks shape neural communication. Here we use a model of cascade spreading to reveal architectural features of human br ...

Cell Press2015

Dependence of Hippocampal Function on ERR gamma-Regulated Mitochondrial Metabolism

Johan Auwerx

Neurons utilize mitochondrial oxidative phosphorylation (OxPhos) to generate energy essential for survival, function, and behavioral output. Unlike most cells that burn both fat and sugar, neurons only burn sugar. Despite its importance, how neurons meet t ...

Cell Press2015

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Wulfram Gerstner, Richard Naud, Skander Mensi, Christian Antonio Pozzorini, Olivier Richard Hagens

Single-neuron models are useful not only for studying the emergent properties of neural circuits in large-scale simulations, but also for extracting and summarizing in a principled way the information contained in electrophysiological recordings. Here we d ...

Public Library of Science2015

Slow fluctuations in recurrent networks of spiking neurons

Tilo Schwalger

Networks of fast nonlinear elements may display slowfluctuations if interactions are strong. We find a transition in the long-term variability of a sparse recurrent network of perfect integrate-and-fire neurons at which the Fano factor switches from zero t ...

Amer Physical Soc2015

Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks

Wulfram Gerstner, Friedemann Zenke

Synaptic plasticity, the putative basis of learning and memory formation, manifests in various forms and across different timescales. Here we show that the interaction of Hebbian homosynaptic plasticity with rapid non-Hebbian heterosynaptic plasticity is, ...

Nature Publishing Group2015

Human and Machine Learning in Non-Markovian Decision Making

Michael Herzog, Aaron Michael Clarke, Elisa Tartaglia, Silvia Marchesotti, Walter Senn

Humans can learn under a wide variety of feedback conditions. Reinforcement learning (RL), where a series of rewarded decisions must be made, is a particularly important type of learning. Computational and behavioral studies of RL have focused mainly on Ma ...

Public Library of Science2015

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