Feed-forward, feedback and lateral interactions in membrane potentials and spike trains from the visual cortex in vivo [0.03%]
视觉皮层环路中前馈、后馈和横向交互作用的动态过程
David Eriksson,Per Roland
David Eriksson
Neurons in the visual cortex receive input from the lateral geniculate nucleus (feed-forward), higher order visual areas (feedback) and local neurons in the surroundings (lateral interactions). Here we first briefly review the approximate t...
Karl Friston,James Kilner,Lee Harrison
Karl Friston
By formulating Helmholtz's ideas about perception, in terms of modern-day theories, one arrives at a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts: using constructs from statistical ...
Selective detection of abrupt input changes by integration of spike-frequency adaptation and synaptic depression in a computational network model [0.03%]
一种计算网络模型通过整合脉冲频率适应和突触抑制选择性地检测输入的突然变化
Gabriel D Puccini,Maria V Sanchez-Vives,Albert Compte
Gabriel D Puccini
Short-term synaptic depression (STD) and spike-frequency adaptation (SFA) are two basic physiological cortical mechanisms for reducing the system's excitability under repetitive stimulation. The computational implications of each one of the...
S L Denham,I Winkler
S L Denham
Sounds provide us with useful information about our environment which complements that provided by other senses, but also poses specific processing problems. How does the auditory system distentangle sounds from different sound sources? And...
Antoni Guillamon,David W McLaughlin,John Rinzel
Antoni Guillamon
In order to identify and understand mechanistically the cortical circuitry of sensory information processing estimates are needed of synaptic input fields that drive neurons. From intracellular in vivo recordings one would like to estimate ...
Dissociating episodic from semantic access mode by mutual information measures: evidence from aging and Alzheimer's disease [0.03%]
利用互信息测度分离事件性知识和语义访问模式：来自老龄化及阿尔茨海默病的证据
Elisa Ciaramelli,Rosapia Lauro-Grotto,Alessandro Treves
Elisa Ciaramelli
Re-thinking the semantic vs. episodic distinction with new experimental paradigms, we have designed a simple classification task to assess episodic and semantic access modes to memory for famous faces. The task requires to post 54 cards int...
Thomas Wennekers,Max Garagnani,Friedemann Pulvermüller
Thomas Wennekers
This paper demonstrates how associative neural networks as standard models for Hebbian cell assemblies can be extended to implement language processes in large-scale brain simulations. To this end the classical auto- and hetero-associative ...
Experimental-neuromodeling framework for understanding auditory object processing: integrating data across multiple scales [0.03%]
一种实验神经计算模型框架：用于理解听觉对象处理并整合多尺度数据
Fatima T Husain,Barry Horwitz
Fatima T Husain
In this article, we review a combined experimental-neuromodeling framework for understanding brain function with a specific application to auditory object processing. Within this framework, a model is constructed using the best available ex...
Invariant visual object recognition: a model, with lighting invariance [0.03%]
不变视觉对象识别：一种模型，带有照明不变性
Edmund T Rolls,Simon M Stringer
Edmund T Rolls
How are invariant representations of objects formed in the visual cortex? We describe a neurophysiological and computational approach which focusses on a feature hierarchy model in which invariant representations can be built by self-organi...
A computational model of visual marking using an inter-connected network of spiking neurons: the spiking search over time & space model (sSoTS) [0.03%]
一种基于脉冲神经元互联网络的视觉标记计算模型：时空间脉冲搜索(sSoTS)模型
Eirini Mavritsaki,Dietmar Heinke,Glyn W Humphreys et al.
Eirini Mavritsaki et al.
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Watson, D., Humphreys, G.W., 1997. Visual marking: prioritizing selection for new objects by t...