Rhythm generation, robustness, and control in stick insect locomotion: modeling and analysis [0.03%]
行波节律生成、鲁棒性和控制的建模与分析——以步行虫为例
Zahra Aminzare,Jonathan E Rubin
Zahra Aminzare
Stick insect stepping patterns have been studied for insights about locomotor rhythm generation and control, because the underlying neural system is relatively accessible experimentally and produces a variety of rhythmic outputs. Harnessing...
Alexander Borst
Alexander Borst
Visual interneurons come in many different flavors, representing luminance changes at one location as ON or OFF signals with different dynamics, ranging from purely sustained to sharply transient responses. While the functional relevance of...
Multi-scale model of neural entrainment by transcranial alternating current stimulation in realistic cortical anatomy [0.03%]
基于颅内交替电流刺激的多尺度脑皮层神经同步模型研究
Xuelin Huang,Xile Wei,Jiang Wang et al.
Xuelin Huang et al.
Transcranial alternating current stimulation (tACS) enables non-invasive modulation of brain activity, holding promise for cognitive research and clinical applications. However, it remains unclear how the spiking activity of cortical neuron...
An attention-based fuzzy CNN-LTSM network for visual object recognition from fMRI images [0.03%]
基于注意力的模糊CNN-LTSM网络的fMRI图像视觉目标识别
Tangsen Huang,Xiangdong Yin,Ensong Jiang
Tangsen Huang
A simplified model of NMDA-receptor-mediated dynamics in leaky integrate-and-fire neurons [0.03%]
简化的NMDA受体介导的漏积分放电神经元的动力学模型
Jan-Eirik Welle Skaar,Nicolai Haug,Hans Ekkehard Plesser
Jan-Eirik Welle Skaar
A model for NMDA-receptor-mediated synaptic currents in leaky integrate-and-fire neurons, first proposed by Wang (J Neurosci, 1999), has been widely studied in computational neuroscience. The model features a fast rise in the NMDA conductan...
A solvable neural circuit model revealing the dynamical principle of non-optimal temporal weighting in perceptual decision making [0.03%]
一个可解的神经回路模型揭示了感知决策中非最优时间加权的动力学原理
Xuewen Shen,Fangting Li,Bin Min
Xuewen Shen
Understanding the mechanism of accumulating evidence over time in deliberate decision-making is crucial for both humans and animals. While numerous models have been proposed over the past few decades to characterize the temporal weighting o...
Integrating computational neuroscience into Africa's academic curriculum: Challenges, opportunities, and strategic implementation [0.03%]
计算神经科学在非洲学术课程中的整合：挑战、机遇与战略实施
Ibeachu P Chinagorom,Peter Oseghale Ohue
Ibeachu P Chinagorom
Computational Neuroscience (CN) is an interdisciplinary field that combines neuroscience, mathematics, artificial intelligence, theoretical models and experimental data to understand how the brain works. It unravels the intricacies of the n...
Do the receptive fields in the primary visual cortex span a variability over the degree of elongation of the receptive fields? [0.03%]
初级视觉皮层的感受野是否涵盖了感受野伸长程度的变化？
Tony Lindeberg
Tony Lindeberg
This paper presents the results of combining (i) theoretical analysis regarding connections between the orientation selectivity and the elongation of receptive fields for the affine Gaussian derivative model with (ii) biological measurement...
Modeling characteristics of neuronal firing in the thalamocortical network of connections in control and parkinsonian primates [0.03%]
模拟受试恒河猴和帕金森病模型猴丘脑皮层连接网络中神经元放电的特征
Carly Ferrell,Qile Jiang,Margaret Olivia Leu et al.
Carly Ferrell et al.
According to current anatomical models, motor cortical areas, the basal ganglia, and the ventral motor thalamus form partially closed (re-entrant) loop structures. The normal patterning of neuronal activity within this network regulates asp...
Biologically realistic mean field model of spiking neural networks with fast and slow inhibitory synapses [0.03%]
具有快抑制性和慢抑制性突触的生物现实的尖峰神经网络平均场模型
Claudio Di Geronimo,Alain Destexhe,Matteo Di Volo
Claudio Di Geronimo
We present a mean field model for a spiking neural network of excitatory and inhibitory neurons with fast GABA A and nonlinear slow GABA B inhibitory conductance-based synapses. This mean field model can predict the spontaneous and ev...