Associative-memory representations emerge as shared spatial patterns of theta activity spanning the primate temporal cortex

Kiyoshi Nakahara (), Ken Adachi, Keisuke Kawasaki, Takeshi Matsuo, Hirohito Sawahata, Kei Majima, Masaki Takeda, Sayaka Sugiyama, Ryota Nakata, Atsuhiko Iijima, Hisashi Tanigawa, Takafumi Suzuki, Yukiyasu Kamitani and Isao Hasegawa ()
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Kiyoshi Nakahara: Center for Transdisciplinary Research, Niigata University
Ken Adachi: Faculty of Engineering, Niigata University
Keisuke Kawasaki: Niigata University School of Medicine
Takeshi Matsuo: NTT Medical Center Tokyo
Hirohito Sawahata: Toyohashi University of Technology
Kei Majima: ATR Computational Neuroscience Laboratories, Keihanna Science City
Masaki Takeda: Research Institute for Diseases of Old Age, Juntendo University School of Medicine
Sayaka Sugiyama: Lab of Neuronal Development, Graduate School of Medical and Dental Sciences, Niigata University
Ryota Nakata: Faculty of Engineering, Niigata University
Atsuhiko Iijima: Faculty of Engineering, Niigata University
Hisashi Tanigawa: Center for Transdisciplinary Research, Niigata University
Takafumi Suzuki: Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University
Yukiyasu Kamitani: ATR Computational Neuroscience Laboratories, Keihanna Science City
Isao Hasegawa: Center for Transdisciplinary Research, Niigata University

Nature Communications, 2016, vol. 7, issue 1, 1-9

Abstract: Abstract Highly localized neuronal spikes in primate temporal cortex can encode associative memory; however, whether memory formation involves area-wide reorganization of ensemble activity, which often accompanies rhythmicity, or just local microcircuit-level plasticity, remains elusive. Using high-density electrocorticography, we capture local-field potentials spanning the monkey temporal lobes, and show that the visual pair-association (PA) memory is encoded in spatial patterns of theta activity in areas TE, 36, and, partially, in the parahippocampal cortex, but not in the entorhinal cortex. The theta patterns elicited by learned paired associates are distinct between pairs, but similar within pairs. This pattern similarity, emerging through novel PA learning, allows a machine-learning decoder trained on theta patterns elicited by a particular visual item to correctly predict the identity of those elicited by its paired associate. Our results suggest that the formation and sharing of widespread cortical theta patterns via learning-induced reorganization are involved in the mechanisms of associative memory representation.

Date: 2016
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DOI: 10.1038/ncomms11827

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