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dc.contributor.authorChang, Joshua TsuKang
dc.contributor.authorPaydarfar, David
dc.date2022-08-11T08:08:24.000
dc.date.accessioned2022-08-23T15:54:18Z
dc.date.available2022-08-23T15:54:18Z
dc.date.issued2015-04-01
dc.date.submitted2020-08-10
dc.identifier.citation<p>Chang J, Paydarfar D. Optimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average? Int IEEE EMBS Conf Neural Eng. 2015 Apr;2015:414-417. doi: 10.1109/NER.2015.7146647. Epub 2015 Jul 2. PMID: 28163829; PMCID: PMC5291750. <a href="https://doi.org/10.1109/NER.2015.7146647">Link to article on publisher's site</a></p>
dc.identifier.issn1948-3546 (Linking)
dc.identifier.doi10.1109/NER.2015.7146647
dc.identifier.pmid28163829
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29524
dc.description.abstractComputing the average input stimulus preceding a spike, the spike-triggered average (STA), has been a powerful tool for discovering a neuron's 'preferred' stimulus feature that enables efficient encoding of sensory information. Recent work in the squid giant axon has shown that STA waveforms can be remarkably similar to the energetically optimal stimulus waveforms for eliciting a spike. In the present study, we show using the Hodgkin-Huxley model that the STA can deviate from the global optimal solution if there is averaging of multiple solutions across different time scales and of multiple modes of spike induction. These findings inform attempts to develop model-free stochastic algorithms for finding energy-optimal stimuli, which is relevant to the efficient delivery of exogenous therapeutic stimuli in neurological diseases.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28163829&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291750/
dc.subjectBiomedical Engineering and Bioengineering
dc.subjectNervous System Diseases
dc.subjectNeurology
dc.titleOptimal stimulus waveforms for eliciting a spike: How close is the spike-triggered average
dc.typeConference Paper
dc.source.volume2015
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1747
dc.identifier.contextkey18844218
html.description.abstract<p>Computing the average input stimulus preceding a spike, the spike-triggered average (STA), has been a powerful tool for discovering a neuron's 'preferred' stimulus feature that enables efficient encoding of sensory information. Recent work in the squid giant axon has shown that STA waveforms can be remarkably similar to the energetically optimal stimulus waveforms for eliciting a spike. In the present study, we show using the Hodgkin-Huxley model that the STA can deviate from the global optimal solution if there is averaging of multiple solutions across different time scales and of multiple modes of spike induction. These findings inform attempts to develop model-free stochastic algorithms for finding energy-optimal stimuli, which is relevant to the efficient delivery of exogenous therapeutic stimuli in neurological diseases.</p>
dc.identifier.submissionpathfaculty_pubs/1747
dc.contributor.departmentDepartment of Neurology
dc.source.pages414-417


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