Gerhard Werner
Gerhard Werner
After initially presenting evidence that the electrical activity recorded from the brain surface can reflect metastable state transitions of neuronal configurations at the mesoscopic level, I will suggest that their patterns may correspond ...
Joseph Agassi
Joseph Agassi
The body-mind problem invites scientific study, since mental events are repeated and repeatable and invite testable explanations. They seemed troublesome because of the classical theory of substance that failed to solve its own central prob...
Olivier Faugeras,Yves Frégnac,Manuel Samuelides
Olivier Faugeras
This special issue of the Journal of Physiology, Paris, is an outcome of NeuroComp'06, the first French conference in Computational Neuroscience. The preparation for this conference, held at Pont-à-Mousson in October 2006, was accompanied ...
What do electrophysiological studies tell us about processing at the olfactory bulb level? [0.03%]
电生理学研究告诉我们关于嗅球水平处理的什么信息？
Rémi Gervais,Nathalie Buonviso,Claire Martin et al.
Rémi Gervais et al.
Electrophysiological recordings performed in the mammalian olfactory bulb (OB) aimed at deciphering neural rules supporting neural representation of odors. In spite of a fairly large number of available data, no clear picture emerges yet in...
The spikes trains probability distributions: a stochastic calculus approach [0.03%]
脉冲串的概率分布：随机方法计算神经元的输出分布
Jonathan Touboul,Olivier Faugeras
Jonathan Touboul
We discuss the statistics of spikes trains for different types of integrate-and-fire neurons and different types of synaptic noise models. In contrast with the usual approaches in neuroscience, mainly based on statistical physics methods su...
Modeling spatial integration in the ocular following response using a probabilistic framework [0.03%]
用概率模型研究眼动反应的时空整合过程
Laurent U Perrinet,Guillaume S Masson
Laurent U Perrinet
The machinery behind the visual perception of motion and the subsequent sensori-motor transformation, such as in ocular following response (OFR), is confronted to uncertainties which are efficiently resolved in the primate's visual system. ...
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons [0.03%]
赫布学习对随机抑制性和兴奋性神经元网络动力学和结构的影响
Benoît Siri,Mathias Quoy,Bruno Delord et al.
Benoît Siri et al.
The aim of the present paper is to study the effects of Hebbian learning in random recurrent neural networks with biological connectivity, i.e. sparse connections and separate populations of excitatory and inhibitory neurons. We furthermore...
Jeremy Fix,Nicolas Rougier,Frederic Alexandre
Jeremy Fix
Understanding the brain goes through the assimilation of an increasing amount of biological data going from single cell recording to brain imaging studies and behavioral analysis. The description of cognition at these three levels provides ...
Coding processes involved in the cortical representation of complex tactile stimuli [0.03%]
与皮层复杂触觉刺激表象有关的编码过程
Jean-Luc Blanc,Jacques-Olivier Coq
Jean-Luc Blanc
To understand how information is coded in the primary somatosensory cortex (S1) we need to decipher the relationship between neural activity and tactile stimuli. Such a relationship can be formally measured by mutual information. The presen...
J Modolo,E Mosekilde,A Beuter
J Modolo
Deep brain stimulation (DBS) is a standard neurosurgical procedure used to treat motor symptoms in about 5% of patients with Parkinson's disease (PD). Despite the indisputable success of this procedure, the biological mechanisms underlying ...