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

19:00 Welcome Party

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/