Journal of Computational Neuroscience最新文献_第5页

Optimization of ictal aborting stimulation using the dynamotype taxonomy. 运用动力型分类法优化发作终止刺激。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-09-05 DOI: 10.1007/s10827-023-00859-7

Matthew P Szuromi, Viktor K Jirsa, William C Stacey

{"title":"Optimization of ictal aborting stimulation using the dynamotype taxonomy.","authors":"Matthew P Szuromi, Viktor K Jirsa, William C Stacey","doi":"10.1007/s10827-023-00859-7","DOIUrl":"10.1007/s10827-023-00859-7","url":null,"abstract":"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 underlying dynamical properties of a given seizure. We use a computational model of seizure dynamics to show that different bursting classes have disparate responses to aborting stimulation. This model was previously validated in a large set of human seizures and led to a description of the Taxonomy of Seizure Dynamics and the dynamotype, which is the clinical analog of the bursting class. In the model, the stimulation is realized as an applied input, which successfully aborts the burst when it forces the system from a bursting state to a quiescent state. This transition requires bistability, which is not present in all bursters. We examine how topological and geometric differences in the bistable state affect the probability of termination as the burster progresses from onset to offset. We find that the most significant determining factors are the burster class (dynamotype) and whether the burster has a DC (baseline) shift. Bursters with a baseline shift are far more likely to be terminated due to the necessary structure of their state space. Furthermore, we observe that the probability of termination varies throughout the burster's duration, is often dependent on the phase when it was applied, and is highly correlated to dynamotype. Our model provides a method to predict the optimal method of termination for each dynamotype. These results lead to the prediction that optimization of ictal aborting stimulation should account for seizure dynamotype, the presence of a DC shift, and the timing of the stimulation.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":" ","pages":"445-462"},"PeriodicalIF":1.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10754472/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10210364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps. 通过比对个体间气味图来评估大鼠嗅球肾小球模式局部排列的方法。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-08-25 DOI: 10.1007/s10827-023-00858-8

Aleksey E Matukhno, Mikhail V Petrushan, Valery N Kiroy, Fedor V Arsenyev, Larisa V Lysenko

{"title":"The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps.","authors":"Aleksey E Matukhno, Mikhail V Petrushan, Valery N Kiroy, Fedor V Arsenyev, Larisa V Lysenko","doi":"10.1007/s10827-023-00858-8","DOIUrl":"10.1007/s10827-023-00858-8","url":null,"abstract":"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 permutations in the glomerular patterns, since the position of anatomical extracranial landmarks, as well as the size, shape and angular orientation of olfactory bulbs can vary significantly. A new method for defining anatomical coordinates of active glomeruli in the rat olfactory bulb has been developed. The method compares the interindividual odor functional maps and calculates probabilistic maps of glomerular activity with adjustment. This adjustment involves rotation, scaling and shift of the functional map relative to its expected position in probabilistic map, computed according to the anatomical coordinates. The calculation of the probabilistic map of the odorant-specific response compensates for potential anatoamical errors due to individual variability in olfactory bulb dimensions and angular orientation. We show its efficiency on real data from a large animal sample recorded by two-photon calcium imaging in dorsal surface of the rat olfactory bulb. The proposed method with probabilistic map calculation enables the spatial consistency of the effects of individual odorants in different rats to be assessed and allow stereotypical positions of odor-specific clusters in the glomerular layer of the olfactory bulb to be identified.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":" ","pages":"433-444"},"PeriodicalIF":1.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10058605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification. 大脑引导的流形转移提高了尖峰神经网络在图像分类中的性能。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-09-18 DOI: 10.1007/s10827-023-00861-z

Zahra Imani, Mehdi Ezoji, Timothée Masquelier

{"title":"Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification.","authors":"Zahra Imani, Mehdi Ezoji, Timothée Masquelier","doi":"10.1007/s10827-023-00861-z","DOIUrl":"10.1007/s10827-023-00861-z","url":null,"abstract":"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-based EEG encoder is used to construct the EEG-based feature space, which is a discriminative space in viewpoint of classification accuracy by SVM. Then, the visual feature vectors extracted from SNN is mapped to the EEG-based discriminative features space by manifold transferring based on mutual k-Nearest Neighbors (Mk-NN MT). This proposed \"Brain-guided system\" improves the separability of the SNN-based visual feature space. In the test phase, the spike patterns extracted by SNN from the input image is mapped to LSTM-based EEG feature space, and then classified without need for the EEG signals. The SNN-based image encoder is trained by the conversion method and the results are evaluated and compared with other training methods on the challenging small ImageNet-EEG dataset. Experimental results show that the proposed transferring the manifold of the SNN-based feature space to LSTM-based EEG feature space leads to 14.25% improvement at most in the accuracy of image classification. Thus, embedding SNN in the brain-guided system which is trained on a small set, improves its performance in image classification.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":" ","pages":"475-490"},"PeriodicalIF":1.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10340607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury. 一种高效模型，表明抑制在神经元网络对创伤损伤的恢复力中的作用。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-08-26 DOI: 10.1007/s10827-023-00860-0

Brian L Frost, Stanislav M Mintchev

{"title":"A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury.","authors":"Brian L Frost, Stanislav M Mintchev","doi":"10.1007/s10827-023-00860-0","DOIUrl":"10.1007/s10827-023-00860-0","url":null,"abstract":"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 leads to a variable width along the cell axon. Simulations of the electrical properties of axons impacted in such a way show that this damage may have a nonlinear deleterious effect on spike-encoded signal transmission. The computational cost of these simulations complicates the investigation of the effects of such damage at a network level. We have developed an efficient algorithm that faithfully reproduces the spike train filtering properties seen in physical simulations. We use this algorithm to explore the impact of focal axonal swelling on small networks of integrate and fire neurons. We explore also the effects of architecture modifications to networks impacted in this manner. In all tested networks, our results indicate that the addition of presynaptic inhibitory neurons either increases or leaves unchanged the fidelity, in terms of bandwidth, of the network's processing properties with respect to this damage.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":" ","pages":"463-474"},"PeriodicalIF":1.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10450908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks. 探索为时间和决策任务训练的递归神经网络中的权重初始化、解的多样性和退化。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-11-01 Epub Date: 2023-08-10 DOI: 10.1007/s10827-023-00857-9

Cecilia Jarne, Rodrigo Laje

引用次数: 0

Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets. 快速尖峰的中间神经元放电率对与神经周围网络退化相关的参数变化的反应。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-05-01 DOI: 10.1007/s10827-023-00849-9

Kine Ødegård Hanssen, Sverre Grødem, Marianne Fyhn, Torkel Hafting, Gaute T Einevoll, Torbjørn Vefferstad Ness, Geir Halnes

{"title":"Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets.","authors":"Kine Ødegård Hanssen, Sverre Grødem, Marianne Fyhn, Torkel Hafting, Gaute T Einevoll, Torbjørn Vefferstad Ness, Geir Halnes","doi":"10.1007/s10827-023-00849-9","DOIUrl":"https://doi.org/10.1007/s10827-023-00849-9","url":null,"abstract":"The perineuronal nets (PNNs) are sugar coated protein structures that encapsulate certain neurons in the brain, such as parvalbumin positive (PV) inhibitory neurons. As PNNs are theorized to act as a barrier to ion transport, they may effectively increase the membrane charge-separation distance, thereby affecting the membrane capacitance. Tewari et al. (2018) found that degradation of PNNs induced a 25%-50% increase in membrane capacitance [Formula: see text] and a reduction in the firing rates of PV-cells. In the current work, we explore how changes in [Formula: see text] affects the firing rate in a selection of computational neuron models, ranging in complexity from a single compartment Hodgkin-Huxley model to morphologically detailed PV-neuron models. In all models, an increased [Formula: see text] lead to reduced firing, but the experimentally reported increase in [Formula: see text] was not alone sufficient to explain the experimentally reported reduction in firing rate. We therefore hypothesized that PNN degradation in the experiments affected not only [Formula: see text], but also ionic reversal potentials and ion channel conductances. In simulations, we explored how various model parameters affected the firing rate of the model neurons, and identified which parameter variations in addition to [Formula: see text] that are most likely candidates for explaining the experimentally reported reduction in firing rate.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"51 2","pages":"283-298"},"PeriodicalIF":1.2,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9997089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Adaptive unscented Kalman filter for neuronal state and parameter estimation. 用于神经元状态和参数估计的自适应无气味卡尔曼滤波。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-05-01 DOI: 10.1007/s10827-023-00845-z

Loïc J Azzalini, David Crompton, Gabriele M T D'Eleuterio, Frances Skinner, Milad Lankarany

引用次数: 2

Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate. 行为相同的基于电导的模型的不同参数解不一定是简并的。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-05-01 DOI: 10.1007/s10827-023-00848-w

Loïs Naudin

引用次数: 0

Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex. 大鼠感觉运动皮层尖峰活动的心理物理检测反应的贝叶斯预测。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-05-01 DOI: 10.1007/s10827-023-00844-0

Sevgi Öztürk, İsmail Devecioğlu, Burak Güçlü

{"title":"Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex.","authors":"Sevgi Öztürk, İsmail Devecioğlu, Burak Güçlü","doi":"10.1007/s10827-023-00844-0","DOIUrl":"https://doi.org/10.1007/s10827-023-00844-0","url":null,"abstract":"Decoding of sensorimotor information is essential for brain-computer interfaces (BCIs) as well as in normal functioning organisms. In this study, Bayesian models were developed for the prediction of binary decisions of 10 awake freely-moving male/female rats based on neural activity in a vibrotactile yes/no detection task. The vibrotactile stimuli were 40-Hz sinusoidal displacements (amplitude: 200 µm, duration: 0.5 s) applied on the glabrous skin. The task was to depress the right lever for stimulus detection and left lever for stimulus-off condition. Spike activity was recorded from 16-channel microwire arrays implanted in the hindlimb representation of primary somatosensory cortex (S1), overlapping also with the associated representation in the primary motor cortex (M1). Single-/multi-unit average spike rate (Rd) within the stimulus analysis window was used as the predictor of the stimulus state and the behavioral response at each trial based on a Bayesian network model. Due to high neural and psychophysical response variability for each rat and also across subjects, mean Rd was not correlated with hit and false alarm rates. Despite the fluctuations in the neural data, the Bayesian model for each rat generated moderately good accuracy (0.60-0.90) and good class prediction scores (recall, precision, F1) and was also tested with subsets of data (e.g. regular vs. fast spike groups). It was generally observed that the models were better for rats with lower psychophysical performance (lower sensitivity index A'). This suggests that Bayesian inference and similar machine learning techniques may be especially helpful during the training phase of BCIs or for rehabilitation with neuroprostheses.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"51 2","pages":"207-222"},"PeriodicalIF":1.2,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9979116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Slow negative feedback enhances robustness of square-wave bursting. 慢负反馈增强了方波爆破的鲁棒性。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2023-05-01 DOI: 10.1007/s10827-023-00846-y

Sushmita Rose John, Bernd Krauskopf, Hinke M Osinga, Jonathan E Rubin

{"title":"Slow negative feedback enhances robustness of square-wave bursting.","authors":"Sushmita Rose John, Bernd Krauskopf, Hinke M Osinga, Jonathan E Rubin","doi":"10.1007/s10827-023-00846-y","DOIUrl":"https://doi.org/10.1007/s10827-023-00846-y","url":null,"abstract":"Square-wave bursting is an activity pattern common to a variety of neuronal and endocrine cell models that has been linked to central pattern generation for respiration and other physiological functions. Many of the reduced mathematical models that exhibit square-wave bursting yield transitions to an alternative pseudo-plateau bursting pattern with small parameter changes. This susceptibility to activity change could represent a problematic feature in settings where the release events triggered by spike production are necessary for function. In this work, we analyze how model bursting and other activity patterns vary with changes in a timescale associated with the conductance of a fast inward current. Specifically, using numerical simulations and dynamical systems methods, such as fast-slow decomposition and bifurcation and phase-plane analysis, we demonstrate and explain how the presence of a slow negative feedback associated with a gradual reduction of a fast inward current in these models helps to maintain the presence of spikes within the active phases of bursts. Therefore, although such a negative feedback is not necessary for burst production, we find that its presence generates a robustness that may be important for function.","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"51 2","pages":"239-261"},"PeriodicalIF":1.2,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9627811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2