Программа курса по анализу нейробиологических данных
Расписание образовательной программы «Анализ данных в нейронауках» (18-30 августа 2014, Новогорск, МО)
Курс «Анализ данных в нейронауках» был разработан в рамках образовательных программ проекта «БиоЛогика» для специалистов в области биомедицины. Это программа по интенсивному освоению анализа нейробиологических данных. Современные технологии позволяют нейробиологам получать огромные массивы научных данных, анализ которых является сложной задачей, требующей от исследователя междисциплинарной подготовки.
Апробация курса прошла 18-30 августа 2014 года на базе Учебного центра «Святовит» в Подмосковном Новогорске.
August 17, 2014
August 18, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Some tricks in acquisition and analysis of EEG in vivo |
| Marat Minlebaev |
| 10:30 |
Break |
| 11:00 |
Lecture: Analysis of local field potential (LFP): spatial and temporal characteristics of cortical patterns of activity |
| Marat Minlebaev |
| 12:30 |
Lunch |
| 19:00 |
Lecture: Intracellular recording using sharp electrodes and patch pipettes in vivo and in vitro |
| Aleksey Malyshev |
| 15:30 |
Break |
| 16:00 |
Lecture: Characteristics of data obtained using intracellular recording |
| Pavel Balaban |
| 17:30 |
Dinner |
20:00 |
Evening lecture: Using genes and photons to dissect cellular circuits of mind |
| Konstantin Anokhin |
August 19, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Techniques of multiple unit activity recordings |
| Marat Minlebaev |
| 10:30 |
Break |
| 11:00 |
Lecture: Methods to analyse multiple unit activity |
| Marat Minlebaev |
| 12:30 |
Lunch |
| 14:00 |
Lecture: Electrophysiological analysis of synaptic transmission. Quantal analysis. Release probability. Miniature PSPs |
| Aleksey Malyshev |
| 15:30 |
Break |
| 16:00 |
Lecture: Introductory Lecture on MatLab (part 1) |
| Felix Effenberger |
| 17:30 |
Dinner |
| 19:00 |
Intermediate test |
| Marat Minlebaev |
August 20, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Principles of confocal and quantitative multi-photon excitation microscopy |
| Dmitri Rusakov |
| 10:30 |
Break |
| 11:00 |
Lecture: Optical recording of activity at cellular and subcellular level |
| Alexey Semyanov |
| 12:30 |
Lunch |
| 14:00 |
Lecture: Understanding rapid diffuse action of neurotransmitters in the brain |
| Dmitri Rusakov |
| 15:30 |
Break |
| 16:00 |
Lecture: Преодолевая дифракционный барьер: микроскопия со сверхвысоким разрешением в нейробиологии» |
| Boris Kljuch, NIKON |
| 17:30 |
Dinner |
| 20:00 |
Lecture: How to image and manipulate morphological plasticity of glial cells in vivo |
| Leonard Khiroug |
August 21, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Optical recording calcium signaling in neurons and glia |
| Alexey Semyanov |
| 10:30 |
Break |
| 11:00 |
Lecture: Deciphering Ca2+ signals recorded in brain cells |
| Dmitri Rusakov |
| 12:30 |
Lunch |
| 14:00 |
In vivo two-photon imaging in the brain of awake behaving mice |
| Leonard Khiroug |
| 15:30 |
Break |
| 16:00 |
Lecture: Quantitative imaging of dendritic spine turnover in mouse cortex and hippocampus |
| Leonard Khiroug |
| 17:30 |
Dinner |
| 20:00 |
Lecture: MatLab in Optical Imaging |
| Maxim Doronin and Olga Tyurikova |
August 22, 2014
| 07:30 |
Breakfast |
| 11:00 |
Lecture: Клеточные модели болезни Паркинсона, демонстрация микроскопа EVOS c образцами клеток |
| Applied Biosystems |
| 11:30 |
Overview: Laboratories of the Institute, directions of research |
| Pavel Balaban |
| 12:00 |
Demonstrations: Lab. of Sensory Systems |
Demonstrations: Lab. of Cellular Neurobiology of Learning |
Demonstrations: Lab. of Molecular Neurobiology |
| 14:00 |
Lunch |
| 17:00 |
Departure to Hotel |
August 23- 26. 2014
| Basic mathematical tools and applications: Mark Reimers and Felix Effenberger |
Lab 1: MatLab Interacti |
| Lab 2: Basic probability and statistics calculations in MATLAB |
Lecture 2: Review of probability and statistics needed for neuroscience |
| Lab 3: Working with spike train data |
Lecture 3: Point processes in neuroscience |
| Lab 4: Working with LFP / EEG data |
Lecture 4: Spectral analysis |
| Lab 5: Working with calcium imaging data |
Lecture 5: Calcium imaging data analysis issues |
| Lab 6: Information theory lab |
Lecture 6: Information theory approaches |
| Lab 7: PCA for LFP/EEG data |
Lecture 7: Multivariate methods |
| Lab 8: PCA and decoding for spike train data |
Lecture 8: Multivariate applications to spike train data |
| Lab 9: Python in Neuroscience |
Lecture 9: Python in Neuroscience |
| Lab 10: Network inference from hemi-cortex VSD data |
Lab 10: Network inference from hemi-cortex VSD data |
| GRAND BBQ |
August 26, 2014
| 14:00 |
Lecture: Model organisms in neurogenomics |
| Leonid Moroz |
| 15:30 |
Break |
| 16:00 |
Optional: free time or the second lecture by Leonid Moroz |
August 27, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: High-throughput sequencing technologies |
| Maria Logacheva |
| 10:30 |
Break |
| 11:00 |
Lecture: «Big data» approaches in human brain research |
| Philipp Khaitovich |
| 12:30 |
Lunch |
| 14:00 |
Lecture: Human brain transcriptome (part 1): RNA-Seq data processing |
| Philipp Khaitovich |
| 15:30 |
Break |
| 16:00 |
Lecture: Multiple Origins of Neurons and Animal Evolution: Insights from Genomics |
| Leonid Moroz |
| 17:30 |
Dinner |
20:00 |
Musical Evening Lecture: The Art of Fugue |
| Mikhail Gelfand |
August 28, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Human brain transcriptome (part 2): Statistical analysis |
| Philipp Khaitovich |
| 10:30 |
Break |
| 11:00 |
Lecture: Human brain transcriptome (part 3): Data clustering |
| Philipp Khaitovich |
| 12:30 |
Lunch |
| 14:00 |
Lecture: «Big data» in functional genomics and epigenomics |
| Mikhail Gelfand |
| 15:30 |
Break |
| 16:00 |
Lecture: Human brain transcriptome (part 4): Regulatory networks |
| Philipp Khaitovich |
| 17:30 |
Dinner |
20:00 |
Evening lecture: Molecular tools for neural circuit dissection |
| Alla Karpova |
August 29, 2014
| 07:30 |
Breakfast |
| 09:00 |
Lecture: Human brain transcriptome (part 5): Functional annotation |
| Philipp Khaitovich |
| 10:30 |
Break |
| 11:00 |
Lecture: Human brain transcriptome (part 6): Results consolidation |
| Philipp Khaitovich |
| 12:30 |
Lunch |
| 14:00 |
Lecture: «Big data» perspectives in human brain neuroscience |
| Philipp Khaitovich |
| 15:30 |
Break |
| 16:00 |
Lecture: Genomics of Learning and Memory at Single-Neuron Resolution |
| Leonid Moroz |
| 17:30 |
Dinner |
20:00 |
Evening lecture: Getting at the neural basis of behavior |
| Alla Karpova |
Подробности программы по ссылке: http://biologica.org/project/neuroscience-data/
