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  Prefrontal firing rates reflect the number of stimuli processed for visual short-term memory

Franke, F., Natora, M., Waizel, M., Muckli, L., Pipa, G., & Munk, M. (2009). Prefrontal firing rates reflect the number of stimuli processed for visual short-term memory. Poster presented at Bernstein Conference on Computational Neuroscience (BCCN 2009), Frankfurt a.M., Germany. doi:10.3389/conf.neuro.10.2009.14.106.

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Franke, F, Author
Natora, M, Author
Waizel, M1, 2, Author              
Muckli , LF, Author
Pipa, G, Author
Munk, MHJ1, 2, Author              
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              


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 Abstract: The way a system reacts to increased task demands can reveal information about its functional mechanism. We therefore assessed the question how non human primates process information about visual stimuli by driving two rhesus monkeys to their cognitive limits in a visual memory task. The monkeys were first trained to successfully perform the visual memory task (> 80 correct responses). Then the number of stimuli shown to the monkey (load) was increased to up to 4. The stimulus presentation period (SP) was 900 milliseconds long. Thus, in the load 4 condition each single stimulus was only shown for less than 225ms. After a three second delay period, a test stimulus was shown. The task of the monkey was then to decide via differential button press, whether the test stimulus matched any of the previously shown stimuli. Neuronal firing rates were recorded using up to 16 multi electrodes placed in the prefrontal cortex. For every trial in which the monkey responded correctly, the average multi unit rate during the SP was estimated. We then assessed the question whether the firing rates in the SP during the distinct load conditions were significantly different. To minimize the effect of non-stationarities present in the data, we paired the data so that the trials of one pair were maximally 2.5 minutes apart. We tested against the null-hypothesis that the firing rates during the SP did not differ significantly among the load conditions using the nonparametric Friedman-test for paired data. For every recording site where we could reject the null-hypothesis (p<0.05), we investigated in which direction the rates of the different load conditions differed, correcting for multiple tests using the Tukey-Kramer-correction. A total of 12681 correct trials were recorded with a total of 160 recording positions (6 to 16 per session). In total, 23 positions showed significant effects from which 20 were consistent. The firing rate differences were called consistent if the difference compared to load 1 were stronger the higher the load. Out of these 20 consistent recording sites 14 showed a firing rate which monotonically increased with the load, 6 showed a monotonous decrease. This means that 12 of the recording sites in prefrontal cortex show a significant modulation of firing rates with respect to the load condition during a delayed match to sample task. However this modulation is not necessarily excitatory. Interestingly, it seems that the majority of sites showed a load-consistent modulation i.e. the higher the load, the stronger the modulation. This could be a possible mechanism to code the number of stimuli or their sequence.


 Dates: 2009-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
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 Rev. Type: -
 Identifiers: DOI: 10.3389/conf.neuro.10.2009.14.106
BibTex Citekey: 6089
 Degree: -


Title: Bernstein Conference on Computational Neuroscience (BCCN 2009)
Place of Event: Frankfurt a.M., Germany
Start-/End Date: 2009-10-30 - 2009-10-02

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Title: Frontiers in Computational Neuroscience
  Abbreviation : Front Comput Neurosci
Source Genre: Journal
Publ. Info: Lausanne : Frontiers Research Foundation
Pages: - Volume / Issue: 2009 (Conference Abstract: Bernstein Conference on Computational Neuroscience) Sequence Number: - Start / End Page: 158 - 159 Identifier: Other: 1662-5188
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5188