On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks [0.03%]
局部皮层网络兴奋和抑制整体平衡的生理学和结构因素贡献分析
Farshad Shirani,Hannah Choi
Farshad Shirani
Overall balance of excitation and inhibition in cortical networks is central to their functionality and normal operation. Such orchestrated co-evolution of excitation and inhibition is established through convoluted local interactions betwe...
A fractional-order Wilson-Cowan formulation of cortical disinhibition [0.03%]
一种分数阶Wilson-Cowan皮层去抑制模型公式化方法
L R González-Ramírez
L R González-Ramírez
This work presents a fractional-order Wilson-Cowan model derivation under Caputo's formalism, considering an order of 0
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification [0.03%]
基于脑结构的流形迁移以提升脉冲神经网络图像分类性能
Zahra Imani,Mehdi Ezoji,Timothée Masquelier
Zahra Imani
Spiking neural networks (SNNs), as the third generation of neural networks, are based on biological models of human brain neurons. In this work, a shallow SNN plays the role of an explicit image decoder in the image classification. An LSTM-...
Optimization of ictal aborting stimulation using the dynamotype taxonomy [0.03%]
基于动力类型学的痫性发作终止刺激优化研究
Matthew P Szuromi,Viktor K Jirsa,William C Stacey
Matthew P Szuromi
Electrical stimulation is an increasingly popular method to terminate epileptic seizures, yet it is not always successful. A potential reason for inconsistent efficacy is that stimuli are applied empirically without considering the underlyi...
A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury [0.03%]
一个高效模型表明抑制作用在创伤性损伤导致的神经网络恢复力中所起的作用
Brian L Frost,Stanislav M Mintchev
Brian L Frost
Recent investigations of traumatic brain injuries have shown that these injuries can result in conformational changes at the level of individual neurons in the cerebral cortex. Focal axonal swelling is one consequence of such injuries and l...
The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps [0.03%]
基于正交个体气味图谱配准的嗅球神经环路局部排列评价方法研究
Aleksey E Matukhno,Mikhail V Petrushan,Valery N Kiroy et al.
Aleksey E Matukhno et al.
The comparison of odor functional maps in rodents demonstrates a high degree of inter-individual variability in glomerular activity patterns. There are substantial methodological difficulties in the interindividual assessment of local permu...
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks [0.03%]
探讨在递归神经网络中训练的时间和决策任务的权重初始化、解决方案的多样性以及退化问题
Cecilia Jarne,Rodrigo Laje
Cecilia Jarne
Recurrent Neural Networks (RNNs) are frequently used to model aspects of brain function and structure. In this work, we trained small fully-connected RNNs to perform temporal and flow control tasks with time-varying stimuli. Our results sho...
Homogeneous inhibition is optimal for the phase precession of place cells in the CA1 field [0.03%]
均匀抑制最优地解释内嗅皮质放电频率的各向异性分布规律
Georgy Vandyshev,Ivan Mysin
Georgy Vandyshev
Place cells are hippocampal neurons encoding the position of an animal in space. Studies of place cells are essential to understanding the processing of information by neural networks of the brain. An important characteristic of place cell ...
Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models [0.03%]
有关于：概率解法使神经科学模型中的数值不确定性探索变得简单化的更正
Jonathan Oesterle,Nicholas Krämer,Philipp Hennig et al.
Jonathan Oesterle et al.
Published Erratum
Journal of computational neuroscience. 2022 Aug;51(3):405. DOI:10.1007/s10827-023-00856-w 2022
Caterina Mazzetti,Alessandro Sarti,Giovanna Citti
Caterina Mazzetti
In this paper we propose a neurogeometrical model of the behaviour of cells of the arm area of the primary motor cortex (M1). We will mathematically express as a fiber bundle the hypercolumnar organization of this cortical area, first model...