Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models

B. Horwitz, Fatima T Husain, A. R. Braun, M. A. Tagamets

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Formidable conceptual problems exist in interpreting human functional neuroimaging data in terms of the underlying neural activity. To surmount these difficulties, we have developed two neurobiologically realistic models (one for vision, one for audition) of the object recognition pathway in human neocortex in which data at multiple spatiotemporal levels can be simulated and cross-validated by multiple disciplines, including PET and fMRI. Our models, based on neurophysiological and neuroanatomical data from primate and human studies, enable us to simultaneously simulate cellular electrophysiological and PET/fMRI activities in multiple, interconnected brain regions. These types of models enable us to quantitatively combine multiple data sets so that a coherent account of human cognition can be generated. We illustrate this approach using delayed match-to-sample (DM8) tasks for visual shape and for auditory tonal patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Pages878-883
Number of pages6
Volume2
StatePublished - 2001
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
Duration: Jul 15 2001Jul 19 2001

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'01)
CountryUnited States
CityWashington, DC
Period7/15/017/19/01

Fingerprint

Pattern recognition
Functional neuroimaging
Object recognition
Audition
Brain
Magnetic Resonance Imaging
Primates

ASJC Scopus subject areas

  • Software

Cite this

Horwitz, B., Husain, F. T., Braun, A. R., & Tagamets, M. A. (2001). Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. In Proceedings of the International Joint Conference on Neural Networks (Vol. 2, pp. 878-883)

Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. / Horwitz, B.; Husain, Fatima T; Braun, A. R.; Tagamets, M. A.

Proceedings of the International Joint Conference on Neural Networks. Vol. 2 2001. p. 878-883.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Horwitz, B, Husain, FT, Braun, AR & Tagamets, MA 2001, Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. in Proceedings of the International Joint Conference on Neural Networks. vol. 2, pp. 878-883, International Joint Conference on Neural Networks (IJCNN'01), Washington, DC, United States, 7/15/01.
Horwitz B, Husain FT, Braun AR, Tagamets MA. Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. In Proceedings of the International Joint Conference on Neural Networks. Vol. 2. 2001. p. 878-883
Horwitz, B. ; Husain, Fatima T ; Braun, A. R. ; Tagamets, M. A. / Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. Proceedings of the International Joint Conference on Neural Networks. Vol. 2 2001. pp. 878-883
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