Select overexpression of homer1a in dorsal hippocampus impairs spatial working memory [0.03%]
海马背侧区Homer1A过表达对空间工作记忆的损害作用
Tansu Celikel,Verena Marx,Florian Freudenberg et al.
Tansu Celikel et al.
Long Homer proteins forge assemblies of signaling components involved in glutamate receptor signaling in postsynaptic excitatory neurons, including those underlying synaptic transmission and plasticity. The short immediate-early gene (IEG) ...
Henry Markram,Tania Rinaldi,Kamila Markram
Henry Markram
Autism is a devastating neurodevelopmental disorder with a polygenetic predisposition that seems to be triggered by multiple environmental factors during embryonic and/or early postnatal life. While significant advances have been made in id...
Network model of spontaneous activity exhibiting synchronous transitions between up and down States [0.03%]
一个能表现出上下状态间同步转换的自发活动网络模型
Néstor Parga,Larry F Abbott
Néstor Parga
Both in vivo and in vitro recordings indicate that neuronal membrane potentials can make spontaneous transitions between distinct up and down states. At the network level, populations of neurons have been observed to make these transitions ...
Novel experience induces persistent sleep-dependent plasticity in the cortex but not in the hippocampus [0.03%]
新颖经验诱导皮层睡眠依赖性可塑性的产生但不作用于海马体
Sidarta Ribeiro,Xinwu Shi,Matthew Engelhard et al.
Sidarta Ribeiro et al.
Episodic and spatial memories engage the hippocampus during acquisition but migrate to the cerebral cortex over time. We have recently proposed that the interplay between slow-wave (SWS) and rapid eye movement (REM) sleep propagates recent ...
Alex M Thomson,Christophe Lamy
Alex M Thomson
This review aims to summarize data obtained with different techniques to provide a functional map of the local circuit connections made by neocortical neurones, a reference for those interested in cortical circuitry and the numerical inform...
A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data [0.03%]
一种基于实验数据约束电导神经模型的新颖多目标优化框架
Shaul Druckmann,Yoav Banitt,Albert Gidon et al.
Shaul Druckmann et al.
We present a novel framework for automatically constraining parameters of compartmental models of neurons, given a large set of experimentally measured responses of these neurons. In experiments, intrinsic noise gives rise to a large variab...
Philip H Goodman,Quan Zou,Sergiu-Mihai Dascalu
Philip H Goodman
Despite decades of societal investment in artificial learning systems, truly "intelligent" systems have yet to be realized. These traditional models are based on input-output pattern optimization and/or cognitive production rule modeling. O...
Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? [0.03%]
吸引子网络模型能解释前额叶皮层持续期放电的统计特征吗？
Francesca Barbieri,Nicolas Brunel
Francesca Barbieri
Persistent activity observed in neurophysiological experiments in monkeys is thought to be the neuronal correlate of working memory. Over the last decade, network modellers have strived to reproduce the main features of these experiments. I...
Israel Nelken,Omer Bar-Yosef
Israel Nelken
Sounds are encoded into electrical activity in the inner ear, where they are represented (roughly) as patterns of energy in narrow frequency bands. However, sounds are perceived in terms of their high-order properties. It is generally belie...
Jyl Boline,Erh-Fang Lee,Arthur W Toga
Jyl Boline
Digital brain atlases are useful as references, analytical tools, and as a data integration framework. As a result, they and their supporting tools are being recognized as potentially useful resources in the movement toward data sharing. Se...