Brain encoding and representation of 3D-space using different senses, in different species [0.03%]
不同物种利用不同感觉感知和编码三维空间的机制研究
Yves Frégnac,Alice René,Jean Baptiste Durand et al.
Yves Frégnac et al.
Peter E Latham,Sophie Deneve,Alexandre Pouget
Peter E Latham
We investigate the ability of multi-dimensional attractor networks to perform reliable computations with noisy population codes. We show that such networks can perform computations as reliably as possible--meaning they can reach the Cramér...
Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses [0.03%]
基于可塑性突触的积分-发射神经元网络的工作记忆形成模型
Paolo Del Giudice,Stefano Fusi,Maurizio Mattia
Paolo Del Giudice
In this paper we review a series of works concerning models of spiking neurons interacting via spike-driven, plastic, Hebbian synapses, meant to implement stimulus driven, unsupervised formation of working memory (WM) states. Starting from ...
Bernd Lütkenhöner
Bernd Lütkenhöner
Magnetoencephalography (MEG) has practically unlimited temporal resolution. Fundamental physical reasons, however, restrict the capability of MEG to separate simultaneously active sources. After a brief tutorial introduction into MEG, vario...
Michel Le Van Quyen,Mario Chavez,David Rudrauf et al.
Michel Le Van Quyen et al.
The growing need for a better understanding of large-scale brain dynamics has stimulated in the last decade the development of new and more advanced data analysis techniques. Progress in this domain has greatly benefited from developments i...
J Ph Lachaux,D Rudrauf,P Kahane
J Ph Lachaux
This review is an attempt to highlight the value of human intracranial recordings (intracranial electro-encephalography, iEEG) for human brain mapping, based on their technical characteristics and based on the corpus of results they have al...
Recurrent neural networks of integrate-and-fire cells simulating short-term memory and wrist movement tasks derived from continuous dynamic networks [0.03%]
基于连续动力学网络的短期记忆和手腕运动任务的脉冲神经元递归神经网络模拟研究
Marc A Maier,Larry E Shupe,Eberhard E Fetz
Marc A Maier
Dynamic recurrent neural networks composed of units with continuous activation functions provide a powerful tool for simulating a wide range of behaviors, since the requisite interconnections can be readily derived by gradient descent metho...
Detection of sequences in the cerebellar cortex: numerical estimate of the possible number of tidal-wave inducing sequences represented [0.03%]
小脑皮层中检测序列：估计可能的涨潮波诱发序列的数量
Fahad Sultan,Detlef Heck
Fahad Sultan
The two major cortices of the brain--the cerebral and cerebellar cortex--are massively connected through intercalated nuclei (pontine, cerebellar and thalamic nuclei). We suggest that the two cortices co-operate by generating precise tempor...
Anatomical funneling, sparse connectivity and redundancy reduction in the neural networks of the basal ganglia [0.03%]
基底节神经网络中的解剖漏斗、稀疏连接和冗余减少现象
Genela Morris,Alon Nevet,Hagai Bergman
Genela Morris
The major anatomical characteristics of the main axis of the basal ganglia are: (1) Numerical reduction in the number of neurons across layers of the feed-forward network, (2) lateral inhibitory connections within the layers, and (3) neuro-...
Conditional visuo-motor learning in primates: a key role for the basal ganglia [0.03%]
灵长类条件视觉运动学习：基底节的关键作用
Fadila Hadj-Bouziane,Martine Meunier,Driss Boussaoud
Fadila Hadj-Bouziane
Sensory guidance of behavior often involves standard visuo-motor mapping of body movements onto objects and spatial locations. For example, looking at and reaching to grasp a glass of wine requires the mapping of the eyes and hand to the lo...