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Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes

Takashi Takekawa, Yoshikazu Isomura, Tomoki Fukai
2012 Frontiers in Neuroinformatics  
The method combines a feature extraction method, which we may term "multimodality-weighted principal component analysis" (mPCA), and a clustering method by variational Bayes for Student's t mixture model  ...  In particular, we develop a method to sort a spike mixture generated by a heterogeneous neural population. Such a spike sorting has a significant practical value, but was previously difficult.  ...  ACKNOWLEDGMENTS This research was partially supported by KAKENHI 22700360, 23115524 (to Takashi Takekawa) and 22115013 (to Tomoki Fukai).  ... 
doi:10.3389/fninf.2012.00005 pmid:22448159 pmcid:PMC3307250 fatcat:7xbeza7muraxvdkki4hbktuni4

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  O14 On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia Acknowledgements This work was supported by NIH-NIBIB (R01-EB027584).  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
by visual experience, and (iii) how patterns of neural activity in the zebrafish brain develop to facilitate precisely targeted hunting behaviour.  ...  This includes (i) how growing axons navigate to their targets by detecting and responding to molecular cues in their environment, (ii) the formation of maps in the visual cortex and how these are influenced  ...  Acknowledgements: This research is funded by the National Science Foundation (grants #1822517 and #1921515 to SJ), the National Institute of Mental Health (grant #MH117488 to SJ), the California Nano-Systems  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

25th Annual Computational Neuroscience Meeting: CNS-2016

Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári, Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett (+597 others)
2016 BMC Neuroscience  
These results outline a framework for categorizing neuronal types based on their functional properties.  ...  Part of this complexity is related to the number of different cell types that work together to encode stimuli.  ...  Acknowledgements: The work of JB, RG, and SMC was supported in part by R01MH1006674 from the National Institutes of Health.  ... 
doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju

Concomitant processing of choice and outcome in frontal corticostriatal ensembles correlates with performance of rats [article]

Takashi Handa, Rie Harukuni, Tomoki Fukai
2020 bioRxiv   pre-print
We studied this question by simultaneously recording neural ensembles in the MFC and DS of rodents performing an outcome-based alternative choice task.  ...  When the two trajectories were highly correlated, spike synchrony was task-dependently modulated in some MFC-DS neuron pairs.  ...  Takekawa T, Isomura Y, Fukai T. (2012) Spike sorting of heterogeneous neuron types by 551 multimodality-weighted PCA and explicit robust variational Bayes.  ... 
doi:10.1101/2020.05.01.071852 fatcat:7lcek5oq3rcmzn57pvrmgb6rta

Track C

2014 Biomedical Engineering  
As the determination of suitable and individualized parameter values for myoelectric-controlled human-machine interfaces is time-consuming, this work presents an incremental parameter adaptation scheme  ...  The author would like to thank Christopher Dörr, THM, for helpful discussions and Youssef Belhoucine, THM, for help with ECG recording.  ...  [4] , refined and tested with simulated and recorded signals [5] . 2.1 Spike sorting algorithm The spike sorting algorithm consists of three parts.  ... 
doi:10.1515/bmt-2014-5002 pmid:25385887 fatcat:duiajlu3i5gdffz5o4extkvyjm

A review of affective computing: From unimodal analysis to multimodal fusion

Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain
2017 Information Fusion  
Multimodality is defined by the presence of more than one modality or channel, e.g., visual, audio, text, gestures, and eye gage.  ...  As part of this review, we carry out an extensive study of different categories of state-of-the-art fusion techniques, followed by a critical analysis of potential performance improvements with multimodal  ...  The hidden layer of neurons provides activation functions to produce the expected output, and the number of hidden layers and neurons are chosen to obtain the desired accuracy of results.  ... 
doi:10.1016/j.inffus.2017.02.003 fatcat:ytebhjxlz5bvxcdghg4wxbvr6a

Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works

Joaquim Fernando Pinto da Pinto da Costa, Manuel Cabral
2022 Mathematics  
The importance of statistical methods in finding patterns and trends in otherwise unstructured and complex large sets of data has grown over the past decade, as the amount of data produced keeps growing  ...  This paper is a comprehensive and systematic review of these recent developments in the area of data mining.  ...  In [18] , a new method of PCA, called Tensor Robust Principal Component Analysis (TRPCA), is introduced. It aims to exactly recover the low-rank and sparse components.  ... 
doi:10.3390/math10060993 fatcat:j5rz75qv6nburpq5rvsddw3cmu

Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature [article]

Javier Juan-Albarracín
2020 arXiv   pre-print
This thesis focuses on the research and development of the Hemodynamic Tissue Signature (HTS) method: an unsupervised machine learning approach to describe the vascular heterogeneity of glioblastomas by  ...  The results of this thesis have been published in ten scientific contributions, including top-ranked journals and conferences in the areas of Medical Informatics, Statistics and Probability, Radiology  ...  Of the 84 initial patients, six were excluded because of an incomplete MRI study, three were excluded because of motion or spike artifacts on the DSC images that prevented the quantification (gamma variate  ... 
arXiv:2009.06288v1 fatcat:dum2y7fuuve73lxbb2any6iak4

A posture sequence learning system for an anthropomorphic robotic hand

Antonio Chella, Haris Džindo, Ignazio Infantino, Irene Macaluso
2004 Robotics and Autonomous Systems  
Work in that area tackles the development of robust algorithms for motor control, motor learning, gesture recognition and visuo-motor integration.  ...  Friday 31 st of October 2003, 12pm-6pm Bally's Las Vegas Hotel Objectives: Programming by demonstration has become a key research topic in robotics.  ...  Acknowledgments Support for all authors was provided by ATR Computational Neuroscience Laboratories, Department of Humanoid Robotics and Computational Neuroscience, and the Communications Research Laboratory  ... 
doi:10.1016/j.robot.2004.03.008 fatcat:fefnr5l7gnhnhaca5nw52f3kru

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges [article]

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021 arXiv   pre-print
Finally, we briefly highlight the fundamental research challenges faced by UQ methods and discuss the future research directions in this field.  ...  It can be applied to solve a variety of real-world applications in science and engineering.  ...  [123] proposed a novel yet efficient algorithm named Bayes by Backprop (BBB) to quantify uncertainty of these weights.  ... 
arXiv:2011.06225v4 fatcat:wwnl7duqwbcqbavat225jkns5u

On Fitting Finite Dirichlet Mixture Using ECM and MML [chapter]

Nizar Bouguila, Djemel Ziou
2005 Lecture Notes in Computer Science  
During active periods, which are controlled by an exponential timer, there is a steady inflow into the fluid buffer at rate c0 and there is a steady outflow at rate c1 from the system when the buffer is  ...  The system is analysed for different active periods corresponding to the service time of an M/G/1 queue and the busy period of an M/G/1 queue.  ...  Hierarchical Bayes method is used to capture unit level heterogeneity in parameter estimation.  ... 
doi:10.1007/11551188_19 fatcat:gtzi5u6emvfyxea3zbklobnvom

Modeling & Analysis

2003 NeuroImage  
The reliability of this signal variation may be assessed by means of different statistical approaches.  ...  However, in contrast with typical PCA methods, CPCA allows the separate analysis of portions of the overall variance, defined by contrasts of interest.  ...  Such relations are consistent with the variation of neural activity with changing levels of force as observed in non-human primates.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

A sequential distance-based approach for imputing missing data: Forward Imputation

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
2016 Advances in Data Analysis and Classification  
The mixtures are fitted by an efficient variational Bayes algorithm in which the number of components is determined automatically.  ...  The number of neurons in the hidden layer is the optimum found by experimentation.  ... 
doi:10.1007/s11634-016-0243-0 fatcat:yvrqlgllsbesbnvnzzci2egpl4

Statistical Models and Algorithms for Studying Hand and Finger Kinematics and their Neural Mechanisms

Lucia Castellanos
2018
These challenges include: potential nonlinearities; confounded sources of variation in experimental datasets; and dealing with high degrees of kinematic freedom.  ...  A functional alignment of grasping trajectories, based on total kinetic energy, as a strategy to account for temporal variation and to exploit a repeated-trial experiment structure.  ...  Their analysis focused on the simple spikes of Purkinje cells as opposed to the complex spike type also characteristic of these types of neurons.  ... 
doi:10.1184/r1/6723170.v1 fatcat:7xtiqnrfzbhyreqqd57hrge25q
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