Single Pulse Responses in Cultured Neuronal Networks to Describe Connectivity

Jakob le Feber, Michael Corner

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


    Synaptic connections between neurons play a crucial role in cognitive processes like learning and memory. In recent work we developed a method, using conditional firing probability (CFP analysis), to estimate functional connectivity in terms of strength and latency, and here we further explored on this method. CFP analysis estimates functional connectivity between pairs of neurons by calculating the probability that neuron j will fire at t=τ, given that neuron i fired at t=0. Because neuron i often fires more than once in the analysis interval of 500 ms CFPs don't indicate the average response to a single action potential in neuron i. Rather, CFPs are biased by the probability that neuron i will fire again in the analysis interval (CFPi,i, or autocorrelation). We developed a method to estimate single pulse responses (SPRs), by deconvolving CFPi,i from the probability curve. We investigated the performance of this deconvolved measure in experiments with cholinergic network activation of cultured cortical networks. Ideally, acetylcholine should affect only the dynamic behavior of the system, but not the described (glutamatergic) connections in cortical networks. We found that changes in SPRs under different dynamic behavior were much smaller than those in CFPs. However, changes were still considerable, most likely reflecting the non-linear nature of synaptic transmission.
    Original languageUndefined
    Title of host publication5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
    Place of PublicationCancun
    Number of pages4
    ISBN (Print)978-1-4244-4141-9
    Publication statusPublished - 27 Apr 2011
    Event5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 - Cancun, Mexico
    Duration: 27 Apr 20111 May 2011
    Conference number: 5

    Publication series

    NumberINSPEC Acc
    ISSN (Print)1948-3546


    Conference5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
    Abbreviated titleNER


    • METIS-285066
    • IR-79533
    • Correlation
    • Neurons
    • Fires
    • EWI-21394
    • Biological neural networks
    • Biomedical measurements
    • Electrodes
    • BSS-Neurotechnology and cellular engineering
    • Firing

    Cite this