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Population vector

In neuroscience, a population vector is the sum of the preferred directions of a population of neurons, weighted by the respective spike counts. The… 
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Related topics

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Neural coding

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An Improved Fuzzy-Genetic based Model for Cloud Scheduling Optimization
Cloud computing enables the sharing on resources and services in distributed environment. Different kind of public and private… 
2015
2015
Modeling Competition over Product Life Cycles
This paper presents a mathematical model, linking the classical Markov models for brand switching and models for product life… 
2014
2014
Hierarchical Artificial Bee Colony Optimizer for Multilevel Threshold Image Segmentation
This paper presents a novel optimization algorithm, namely hierarchical artificial bee colony optimization (HABC) for multilevel… 
2011
2011
Muscle fatigue-induced enhancement of corticomuscular coherence following sustained submaximal isometric contraction of the tibialis anterior muscle
2011
2011
Excitability change in the primary motor cortex after resection of the supplementary motor area in humans
Review
2008
Review
2008
Motor Control in the Brain
There has been much progress in the development of a model of motor control in the brain in the last decade; from the improved… 
1998
1998
Neuronal and muscular correlates consistent with Plamondon ’ s theory : Velocity coding and temporal activation patterns
Plamondon & Alimi (P&A) have unified much data on speed/accuracy trade-offs during reaching movements using a deltalognormal form… 
1998
1998
Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements?
Visually-guided arm reaching movements are produced by distributed neural networks within parietal and frontal regions of the… 
1996
1996
Recognition of pattern position and shape by population vector in spatial spreading associative neural network
In the brain, both spatial and object (shape) recognition systems are considered to work in parallel and cooperatively. In this… 
1990
1990
A learned neural network that simulates properties of the neuronal population vector
This paper considers steady-state and timedependent characteristics of the response of the hidden-layer neurons in a dynamic… 
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