Journal of Mathematical Neuroscience最新文献

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A bio-inspired geometric model for sound reconstruction. 仿生几何模型用于声音重建。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2021-01-04 DOI: 10.1186/s13408-020-00099-4
Ugo Boscain, Dario Prandi, Ludovic Sacchelli, Giuseppina Turco
{"title":"A bio-inspired geometric model for sound reconstruction.","authors":"Ugo Boscain,&nbsp;Dario Prandi,&nbsp;Ludovic Sacchelli,&nbsp;Giuseppina Turco","doi":"10.1186/s13408-020-00099-4","DOIUrl":"https://doi.org/10.1186/s13408-020-00099-4","url":null,"abstract":"<p><p>The reconstruction mechanisms built by the human auditory system during sound reconstruction are still a matter of debate. The purpose of this study is to propose a mathematical model of sound reconstruction based on the functional architecture of the auditory cortex (A1). The model is inspired by the geometrical modelling of vision, which has undergone a great development in the last ten years. There are, however, fundamental dissimilarities, due to the different role played by time and the different group of symmetries. The algorithm transforms the degraded sound in an 'image' in the time-frequency domain via a short-time Fourier transform. Such an image is then lifted to the Heisenberg group and is reconstructed via a Wilson-Cowan integro-differential equation. Preliminary numerical experiments are provided, showing the good reconstruction properties of the algorithm on synthetic sounds concentrated around two frequencies.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":"11 1","pages":"2"},"PeriodicalIF":2.3,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00099-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38777695","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
Neural field models with transmission delays and diffusion. 具有传递延迟和扩散的神经场模型。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-12-09 DOI: 10.1186/s13408-020-00098-5
Len Spek, Yuri A Kuznetsov, Stephan A van Gils
{"title":"Neural field models with transmission delays and diffusion.","authors":"Len Spek,&nbsp;Yuri A Kuznetsov,&nbsp;Stephan A van Gils","doi":"10.1186/s13408-020-00098-5","DOIUrl":"https://doi.org/10.1186/s13408-020-00098-5","url":null,"abstract":"<p><p>A neural field models the large scale behaviour of large groups of neurons. We extend previous results for these models by including a diffusion term into the neural field, which models direct, electrical connections. We extend known and prove new sun-star calculus results for delay equations to be able to include diffusion and explicitly characterise the essential spectrum. For a certain class of connectivity functions in the neural field model, we are able to compute its spectral properties and the first Lyapunov coefficient of a Hopf bifurcation. By examining a numerical example, we find that the addition of diffusion suppresses non-synchronised steady-states while favouring synchronised oscillatory modes.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"21"},"PeriodicalIF":2.3,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00098-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38690911","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: 8
Stability analysis of a neural field self-organizing map. 神经场自组织映射的稳定性分析。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-12-01 DOI: 10.1186/s13408-020-00097-6
Georgios Detorakis, Antoine Chaillet, Nicolas P Rougier
{"title":"Stability analysis of a neural field self-organizing map.","authors":"Georgios Detorakis,&nbsp;Antoine Chaillet,&nbsp;Nicolas P Rougier","doi":"10.1186/s13408-020-00097-6","DOIUrl":"https://doi.org/10.1186/s13408-020-00097-6","url":null,"abstract":"<p><p>We provide theoretical conditions guaranteeing that a self-organizing map efficiently develops representations of the input space. The study relies on a neural field model of spatiotemporal activity in area 3b of the primary somatosensory cortex. We rely on Lyapunov's theory for neural fields to derive theoretical conditions for stability. We verify the theoretical conditions by numerical experiments. The analysis highlights the key role played by the balance between excitation and inhibition of lateral synaptic coupling and the strength of synaptic gains in the formation and maintenance of self-organizing maps.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"20"},"PeriodicalIF":2.3,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00097-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38660798","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
Interactions of multiple rhythms in a biophysical network of neurons. 神经元生物物理网络中多种节律的相互作用。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-11-17 DOI: 10.1186/s13408-020-00096-7
Alexandros Gelastopoulos, Nancy J Kopell
{"title":"Interactions of multiple rhythms in a biophysical network of neurons.","authors":"Alexandros Gelastopoulos,&nbsp;Nancy J Kopell","doi":"10.1186/s13408-020-00096-7","DOIUrl":"https://doi.org/10.1186/s13408-020-00096-7","url":null,"abstract":"<p><p>Neural oscillations, including rhythms in the beta1 band (12-20 Hz), are important in various cognitive functions. Often neural networks receive rhythmic input at frequencies different from their natural frequency, but very little is known about how such input affects the network's behavior. We use a simplified, yet biophysical, model of a beta1 rhythm that occurs in the parietal cortex, in order to study its response to oscillatory inputs. We demonstrate that a cell has the ability to respond at the same time to two periodic stimuli of unrelated frequencies, firing in phase with one, but with a mean firing rate equal to that of the other. We show that this is a very general phenomenon, independent of the model used. We next show numerically that the behavior of a different cell, which is modeled as a high-dimensional dynamical system, can be described in a surprisingly simple way, owing to a reset that occurs in the state space when the cell fires. The interaction of the two cells leads to novel combinations of properties for neural dynamics, such as mode-locking to an input without phase-locking to it.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"19"},"PeriodicalIF":2.3,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00096-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38706869","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
Spatio-chromatic information available from different neural layers via Gaussianization. 通过高斯化从不同的神经层获得的空间色彩信息。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-11-11 DOI: 10.1186/s13408-020-00095-8
Jesús Malo
{"title":"Spatio-chromatic information available from different neural layers via Gaussianization.","authors":"Jesús Malo","doi":"10.1186/s13408-020-00095-8","DOIUrl":"https://doi.org/10.1186/s13408-020-00095-8","url":null,"abstract":"<p><p>How much visual information about the retinal images can be extracted from the different layers of the visual pathway? This question depends on the complexity of the visual input, the set of transforms applied to this multivariate input, and the noise of the sensors in the considered layer. Separate subsystems (e.g. opponent channels, spatial filters, nonlinearities of the texture sensors) have been suggested to be organized for optimal information transmission. However, the efficiency of these different layers has not been measured when they operate together on colorimetrically calibrated natural images and using multivariate information-theoretic units over the joint spatio-chromatic array of responses.In this work, we present a statistical tool to address this question in an appropriate (multivariate) way. Specifically, we propose an empirical estimate of the information transmitted by the system based on a recent Gaussianization technique. The total correlation measured using the proposed estimator is consistent with predictions based on the analytical Jacobian of a standard spatio-chromatic model of the retina-cortex pathway. If the noise at certain representation is proportional to the dynamic range of the response, and one assumes sensors of equivalent noise level, then transmitted information shows the following trends: (1) progressively deeper representations are better in terms of the amount of captured information, (2) the transmitted information up to the cortical representation follows the probability of natural scenes over the chromatic and achromatic dimensions of the stimulus space, (3) the contribution of spatial transforms to capture visual information is substantially greater than the contribution of chromatic transforms, and (4) nonlinearities of the responses contribute substantially to the transmitted information but less than the linear transforms.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"18"},"PeriodicalIF":2.3,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00095-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38590773","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: 15
A new blind color watermarking based on a psychovisual model. 一种新的基于心理视觉模型的盲彩色水印。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-10-23 DOI: 10.1186/s13408-020-00094-9
Pascal Lefevre, David Alleysson, Philippe Carre
{"title":"A new blind color watermarking based on a psychovisual model.","authors":"Pascal Lefevre,&nbsp;David Alleysson,&nbsp;Philippe Carre","doi":"10.1186/s13408-020-00094-9","DOIUrl":"https://doi.org/10.1186/s13408-020-00094-9","url":null,"abstract":"<p><p>In this paper, we address the problem of the use of a human visual system (HVS) model to improve watermark invisibility. We propose a new color watermarking algorithm based on the minimization of the perception of color differences. This algorithm is based on a psychovisual model of the dynamics of cone photoreceptors. We used this model to determine the discrimination power of the human for a particular color and thus the best strategy to modify color pixels. Results were obtained on a color version of the lattice quantization index modulation (LQIM) method and showed improvements on psychovisual invisibility and robustness against several image distortions.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"17"},"PeriodicalIF":2.3,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00094-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38522338","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
Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays. 具有自适应状态依赖延迟的Kuramoto白质网络模型的同步和弹性。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-09-16 DOI: 10.1186/s13408-020-00091-y
Seong Hyun Park, Jérémie Lefebvre
{"title":"Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays.","authors":"Seong Hyun Park,&nbsp;Jérémie Lefebvre","doi":"10.1186/s13408-020-00091-y","DOIUrl":"https://doi.org/10.1186/s13408-020-00091-y","url":null,"abstract":"<p><p>White matter pathways form a complex network of myelinated axons that regulate signal transmission in the nervous system and play a key role in behaviour and cognition. Recent evidence reveals that white matter networks are adaptive and that myelin remodels itself in an activity-dependent way, during both developmental stages and later on through behaviour and learning. As a result, axonal conduction delays continuously adjust in order to regulate the timing of neural signals propagating between different brain areas. This delay plasticity mechanism has yet to be integrated in computational neural models, where conduction delays are oftentimes constant or simply ignored. As a first approach to adaptive white matter remodeling, we modified the canonical Kuramoto model by enabling all connections with adaptive, phase-dependent delays. We analyzed the equilibria and stability of this system, and applied our results to two-oscillator and large-dimensional networks. Our joint mathematical and numerical analysis demonstrates that plastic delays act as a stabilizing mechanism promoting the network's ability to maintain synchronous activity. Our work also shows that global synchronization is more resilient to perturbations and injury towards network architecture. Our results provide key insights about the analysis and potential significance of activity-dependent myelination in large-scale brain synchrony.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"16"},"PeriodicalIF":2.3,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00091-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38385124","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: 4
Attractor-state itinerancy in neural circuits with synaptic depression. 突触抑制的神经回路中的吸引子状态流动。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-09-11 DOI: 10.1186/s13408-020-00093-w
Bolun Chen, Paul Miller
{"title":"Attractor-state itinerancy in neural circuits with synaptic depression.","authors":"Bolun Chen,&nbsp;Paul Miller","doi":"10.1186/s13408-020-00093-w","DOIUrl":"https://doi.org/10.1186/s13408-020-00093-w","url":null,"abstract":"<p><p>Neural populations with strong excitatory recurrent connections can support bistable states in their mean firing rates. Multiple fixed points in a network of such bistable units can be used to model memory retrieval and pattern separation. The stability of fixed points may change on a slower timescale than that of the dynamics due to short-term synaptic depression, leading to transitions between quasi-stable point attractor states in a sequence that depends on the history of stimuli. To better understand these behaviors, we study a minimal model, which characterizes multiple fixed points and transitions between them in response to stimuli with diverse time- and amplitude-dependencies. The interplay between the fast dynamics of firing rate and synaptic responses and the slower timescale of synaptic depression makes the neural activity sensitive to the amplitude and duration of square-pulse stimuli in a nontrivial, history-dependent manner. Weak cross-couplings further deform the basins of attraction for different fixed points into intricate shapes. We find that while short-term synaptic depression can reduce the total number of stable fixed points in a network, it tends to strongly increase the number of fixed points visited upon repetitions of fixed stimuli. Our analysis provides a natural explanation for the system's rich responses to stimuli of different durations and amplitudes while demonstrating the encoding capability of bistable neural populations for dynamical features of incoming stimuli.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"15"},"PeriodicalIF":2.3,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00093-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38368494","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: 5
Geometry of color perception. Part 2: perceived colors from real quantum states and Hering's rebit. 色彩感知的几何学。第2部分:来自真实量子态的感知颜色和Hering的rebit。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-09-09 DOI: 10.1186/s13408-020-00092-x
M Berthier
{"title":"Geometry of color perception. Part 2: perceived colors from real quantum states and Hering's rebit.","authors":"M Berthier","doi":"10.1186/s13408-020-00092-x","DOIUrl":"https://doi.org/10.1186/s13408-020-00092-x","url":null,"abstract":"<p><p>Inspired by the pioneer work of H.L. Resnikoff, which is described in full detail in the first part of this two-part paper, we give a quantum description of the space [Formula: see text] of perceived colors. We show that [Formula: see text] is the effect space of a rebit, a real quantum qubit, whose state space is isometric to Klein's hyperbolic disk. This chromatic state space of perceived colors can be represented as a Bloch disk of real dimension 2 that coincides with Hering's disk given by the color opponency mechanism. Attributes of perceived colors, hue and saturation, are defined in terms of Von Neumann entropy.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"14"},"PeriodicalIF":2.3,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00092-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38357217","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
The geometry of rest-spike bistability. 静脉冲双稳性的几何特性。
IF 2.3 4区 医学
Journal of Mathematical Neuroscience Pub Date : 2020-09-04 DOI: 10.1186/s13408-020-00090-z
Giuseppe Ilario Cirillo, Rodolphe Sepulchre
{"title":"The geometry of rest-spike bistability.","authors":"Giuseppe Ilario Cirillo,&nbsp;Rodolphe Sepulchre","doi":"10.1186/s13408-020-00090-z","DOIUrl":"https://doi.org/10.1186/s13408-020-00090-z","url":null,"abstract":"<p><p>Morris-Lecar model is arguably the simplest dynamical model that retains both the slow-fast geometry of excitable phase portraits and the physiological interpretation of a conductance-based model. We augment this model with one slow inward current to capture the additional property of bistability between a resting state and a spiking limit cycle for a range of input current. The resulting dynamical system is a core structure for many dynamical phenomena such as slow spiking and bursting. We show how the proposed model combines physiological interpretation and mathematical tractability and we discuss the benefits of the proposed approach with respect to alternative models in the literature.</p>","PeriodicalId":54271,"journal":{"name":"Journal of Mathematical Neuroscience","volume":" ","pages":"13"},"PeriodicalIF":2.3,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13408-020-00090-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38344780","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: 3
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