Of Toasters and Molecular Ticker Tapes
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{"title"=>"Of toasters and molecular ticker tapes", "type"=>"generic", "authors"=>[{"first_name"=>"Konrad P.", "last_name"=>"Kording", "scopus_author_id"=>"6603812799"}], "year"=>2011, "source"=>"PLoS Computational Biology", "identifiers"=>{"pmid"=>"22219716", "sgr"=>"84855257665", "doi"=>"10.1371/journal.pcbi.1002291", "scopus"=>"2-s2.0-84855257665", "pui"=>"364024505", "isbn"=>"1553-734X", "issn"=>"1553734X"}, "id"=>"c6dea754-a127-3195-a1e9-e39491bd2dd6", "abstract"=>"Experiments in systems neuroscience can be seen as consisting of three steps: (1) selecting the signals we are interested in, (2) probing the system with carefully chosen stimuli, and (3) getting data out of the brain. Here I discuss how emerging techniques in molecular biology are starting to improve these three steps. To estimate its future impact on experimental neuroscience, I will stress the analogy of ongoing progress with that of microprocessor production techniques. These techniques have allowed computers to simplify countless problems; because they are easier to use than mechanical timers, they are even built into toasters. Molecular biology may advance even faster than computer speeds and has made immense progress in understanding and designing molecules. These advancements may in turn produce impressive improvements to each of the three steps, ultimately shifting the bottleneck from obtaining data to interpreting it.", "link"=>"http://www.mendeley.com/research/toasters-molecular-ticker-tapes", "reader_count"=>96, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>5, "Researcher"=>21, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>6, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>11, "Lecturer"=>5, "Professor"=>4}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>5, "Researcher"=>21, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>6, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>11, "Lecturer"=>5, "Professor"=>4}, "reader_count_by_subject_area"=>{"Engineering"=>9, "Unspecified"=>1, "Mathematics"=>3, "Agricultural and Biological Sciences"=>48, "Medicine and Dentistry"=>3, "Neuroscience"=>16, "Philosophy"=>1, "Arts and Humanities"=>1, "Psychology"=>5, "Chemistry"=>1, "Computer Science"=>8}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>9}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Neuroscience"=>{"Neuroscience"=>16}, "Chemistry"=>{"Chemistry"=>1}, "Psychology"=>{"Psychology"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>48}, "Computer Science"=>{"Computer Science"=>8}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "Austria"=>1, "United States"=>12, "United Kingdom"=>1, "Israel"=>1, "France"=>3, "Portugal"=>1, "Germany"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/696703"], "description"=>"<p>Remarkably, the steepness of the curves is worth comparing while the offset on the <i>y</i>-axis is arbitrary.</p>", "links"=>[], "tags"=>["scaling", "laws", "neuroscience", "years", "dna"], "article_id"=>367109, "categories"=>["Neuroscience"], "users"=>["Konrad P. Körding"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1002291.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_scaling_laws_between_neuroscience_exponential_fit_from_1_computer_science_exponential_fit_of_years_2000_2007_from_29_and_DNA_sequencing_see_30_/367109", "title"=>"Comparison of the scaling laws between neuroscience (exponential fit from [1]), computer science (exponential fit of years 2000–2007 from [29]), and DNA sequencing, see [30].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 10:17:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/696819"], "description"=>"<p>Neural activity affects an intracellular concentration. DNA polymerase copies a template with a fidelity that is regulated by an indicator for neural activity. Sequencing thus yields the indicator concentration as a function of time, and therefore the activity.</p>", "links"=>[], "tags"=>["ticker"], "article_id"=>367233, "categories"=>["Neuroscience"], "users"=>["Konrad P. Körding"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1002291.g003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Molecular_ticker_tapes_/367233", "title"=>"Molecular ticker tapes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 10:18:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/696748"], "description"=>"<p>The question mark denotes areas where the author expects exciting developments. (A) Methods for selecting where neural signals come from. (B) Methods for stimulating neurons. (C) Methods for reading out the data. See text for detail.</p>", "links"=>[], "tags"=>["steps", "experiments", "systems"], "article_id"=>367167, "categories"=>["Neuroscience"], "users"=>["Konrad P. Körding"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1002291.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_three_central_steps_that_define_experiments_in_systems_neuroscience_/367167", "title"=>"The three central steps that define experiments in systems neuroscience.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 10:17:44"}

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Relative Metric

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