relacs

Relaxed Electrophysiological Data Acquisition,
Control, and Stimulation

... enjoy your recordings

Paper on relacs technologies

  1. Jan Grewe, Thomas Wachtler & Jan Benda (2011):
    A bottom-up approach to data annotation in neurophysiology.
    Frontiers in Neuroinformatics, 5: 16[Abstract]  [PDF]
  2. Jan Benda, Tim Gollisch, Christian K. Machens & Andreas V. M. Herz (2007):
    From response to stimulus: adaptive sampling in sensory physiology.
    Current Opinion in Neurobiology 17(4): 430-436[Abstract]  [PDF]

Poster on relacs

  1. Jan Benda & Jan Grewe (2011):
    Closed-loop electrophysiological experiments and automated metadata acquisition with RELACS.
    33th Göttingen Neurobiology Conference.  [Abstract]  [PDF]
  2. Jan Benda (2009):
    RELACS - a modular software platform for closed-loop and dynamic clamp experiments.
    32th Göttingen Neurobiology Conference.  [Abstract]  [PDF]

Talks on relacs

  1. Jan Benda (2010):
    RELACS - a modular software platform for closed-loop experiments.
    "1st meeting of software initiatives on online analysis and control of electrophysiological recordings", organized by Maxime Ambard, BFNT Freiburg[PDF]
  2. Jan Benda (2010):
    Closed-loop recordings in sensory electrophysiology - how software can improve experiments.
    Workshop "From neurons to networks - new approaches in electrophysiology" organized by Reiner Polder & Andreas Draguhn at the FENS 2010 in Amsterdam.  [PDF]
  3. Jan Benda (2009):
    RELACS - a modular software platform for closed-loop experiments.
    Bernstein R&D Workshop "Electrophysiological methods for recording and stimulation", Freiburg.  [PDF]
  4. Jan Benda & Jan Grewe (2009):
    Closed-loop experiments and metadata management with RELACS and LabLog.
    Computational Neuroscience Meeting, Berlin.   [PDF]
  5. Jan Benda (2009):
    RELACS - a modular software platform for closed-loop experiments.
    Stefan Rotter, Freiburg.  [PDF]

Scientific paper where relacs was used for data acquisition

  1. Anna Stöckl, Fabian Sinz, Jan Grewe & Jan Benda (2014):
    Encoding of social signals in all three electrosensory pathways of Eigenmannia virescens.
    Journal of Neurophysiology: in press  [Abstract]  [PDF] 

  2. Henriette Walz, Jan Grewe & Jan Benda (2014):
    Static frequency tuning accounts for changes in neural synchrony evoked by transient communication signals.
    Journal of Neurophysiology 112: 752-765  [Abstract]  [PDF] 

  3. Karin Fisch, Tilo Schwalger, Benjamin Lindner, Andreas V. M. Herz & Jan Benda (2012):
    Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron.
    Journal of Neuroscience: 32(48):17332-17344  [Abstract]  [PDF] 

  4. Henriette Walz, Ginette J. Hupé, Jan Benda & John E. Lewis (2012):
    The Neuroethology of electrocommunication: how signal background influences sensory encoding and behaviour in Apteronotus leptorhynchus.
    Journal of Physiology - Paris: in press  [Abstract]  [PDF] 

  5. Ginette J. Hupé, John E. Lewis & Jan Benda (2008):
    The effect of difference frequency on electrocommunication: chirp production and encoding in a species of weakly electric fish, Apteronotus leptorhynchus.
    Journal of Physiology - Paris 102: 164-172[Abstract]  [PDF]
  6. Hugo G. Eyherabide, Ariel Rokem, Andreas V. M. Herz & Inés Samengo (2008):
    Burst firing is a neural code in an insect auditory system.
    Front. Comput. Neurosci. 2:3 doi:10.3389/neuro.10.003.2008[Abstract]  [PDF]
  7. Daniel Gussin, Jan Benda & Leonard Maler (2007):
    Limits of linear rate coding of dynamic stimuli by electroreceptor afferents.
    Journal of Neurophysiology 97: 2917-2929[Abstract]  [PDF]
  8. Ariel Rokem, Sebastian Watzl, Tim Gollisch, Martin Stemmler, Andreas V. M. Herz & Inés Samengo (2006):
    Spike-timing precision underlies the coding efficiency of auditory receptor neurons.
    Journal of Neurophysiology 95: 2541-2552[Abstract]  [PDF]
  9. Jan Benda, André Longtin & Leonard Maler (2006):
    A synchronization-desynchronization code for natural communication signals.
    Neuron 52: 347-358[Abstract]  [PDF]
  10. Jan Benda, André Longtin & Leonard Maler (2005):
    Spike-frequency adaptation separates transient communication signals from background oscillations.
    Journal of Neuroscience 25(9): 2312-2321[Abstract]  [PDF]
  11. Tim Gollisch & Andreas V. M. Herz (2005):
    Disentangling sub-millisecond processes within an auditory transduction chain.
    PLoS Biology 2005 Jan; 3(1):e8[Abstract]  [PDF]
  12. Christian K. Machens, Tim Gollisch, Olga Kolesnikova & Andreas V. M. Herz (2005):
    Testing the Efficiency of Sensory Coding with Optimal Stimulus Ensembles.
    Neuron 47, 447 - 456[Abstract]  [PDF]
  13. Roland Schaette, Tim Gollisch & Andreas V. M. Herz (2005):
    Spike-train variability of auditory neurons in vivo: dynamic responses follow predictions from constant stimuli.
    Journal of Neurophysiology 93: 3270-3281[Abstract]  [PDF]
  14. Frederik Edin, Christian K. Machens, Hartmut Schütze & Andreas V. M. Herz (2004):
    Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments.
    Journal of Computational Neuroscience 17(1): 47-56[Abstract]  [PDF]
  15. Tim Gollisch & Andreas V. M. Herz (2004):
    Input-driven components of spike-frequency adaptation can be unmasked in vivo.
    Journal of Neuroscience 25: 7435-7444[Abstract]  [PDF]
  16. Christian K. Machens & Andreas V. M. Herz (2003):
    Single auditory neurons rapidly discriminate conspecific communication signals.
    Nature Neuroscience 6, 341 - 342[Abstract]  [PDF]
  17. Tim Gollisch, Hartmut Schütze, Jan Benda & Andreas V. M. Herz (2002):
    Energy integration describes sound-intensity coding in an insect auditory system.
    Journal of Neuroscience 22: 10434-10448[Abstract]  [PDF]
  18. Christian K. Machens, Martin B. Stemmler, Petra Prinz, Rüdiger Krahe, Bernhard Ronacher & Andreas V. M. Herz (2001):
    Representation of acoustic communication signals by insect auditory receptor neurons.
    Journal of Neuroscience 21: 3215-3227[Abstract]  [PDF]

Scientific paper where the relacs numerics library was used for simulations and/or data analysis

  1. Jan Benda, Leonard Maler & André Longtin (2010):
    Linear versus nonlinear signal transmission in neuron models with adaptation-currents or dynamic thresholds.
    Journal of Neurophysiology 104: 2806-2820  [Abstract]  [PDF]
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