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Emergent functions of networks of neurons with complex information processing abilities

Research Project

Project/Area Number 16300096
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Bioinformatics/Life informatics
Research InstitutionRIKEN (2005)
Tamagawa University (2004)

Principal Investigator

FUKAI Tomoki  RIKEN, Lab.for Neural Circuit Theory, Team Leader, 脳回路機能理論研究チーム, チームリーダー (40218871)

Co-Investigator(Kenkyū-buntansha) TERAMAE Jun-nosuke  RIKEN, Lab.for Neural Circuit Theory, Research scientist, 脳回路機能理論研究チーム, 研究員 (50384722)
Project Period (FY) 2004 – 2005
Project Status Completed (Fiscal Year 2005)
Budget Amount *help
¥7,300,000 (Direct Cost: ¥7,300,000)
Fiscal Year 2005: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2004: ¥5,900,000 (Direct Cost: ¥5,900,000)
KeywordsBrain, Neural network systems / Cognitive model / Biological information processing / Soft computing / Mathematical engineering / Statistical physics / 生物・生体情報 / 計算機シミュレーション / ソフト・コンピューティング / 生物生体工学
Research Abstract

Neurons have long been treated as processing units that can perform only simple computations, such as integrate-and-fire, and complex functions of the brain is considered to emerge from computations in neural networks. However, results of recent experiments have revealed that some single neurons perform rather complicated information processing like working memory, by storing and representing analog-type information with their firing rates. In our preceding study, we attempted to construct a model neuron that achieves such a single-cell memory operation with its multiple stable firing rates. Here, we consider neural networks of complex neuron models with multiple stable states. A simplest example includes temporal integrator neural network with noise-induced bi-stable neurons. Temporal integration of externally or internally driven information is a fundamental brain function required for a variety of cognitive behaviors. This process is generally linked with graded rate changes in cort … More ical neurons, which typically appear during a delay period of cognitive task in the prefrontal and other cortical areas. We have proposed a neural network model that produces graded (climbing or descending) neuronal activity with modifiable slopes. The model comprises stochastic bistable neurons that are innervated by a balanced background input and are interconnected randomly via recurrent synapses at an equal magnitude of the maximum conductance. Driven by an external input, individual model neurons exhibit bimodal rate changes between a baseline and an elevated firing state. These bimodal changes are temporally organized by reverberating synaptic input to generate graded activity with a nearly constant slope in the neuronal population. Numerical and analytical methods have revealed that the network model displays such temporal integrator-like activity with moderate tuning of the background input intensity and uniform synaptic weight. To test the validity of the proposed mechanism, we have analyzed the graded activity of anterior cingulate cortex neurons in monkeys performing delayed conditional Go/No-go discrimination tasks. We show that the graded delay-period activity of cingulate neurons exhibits bimodal activity patterns and trial-to-trial variability that are similar to those predicted by the proposed model. These results were reported in various national and international meetings, and have been submitted for publication in physics and neuroscience journals. Part of the results will appear as a review article in computational neuroscience journal. Less

Report

(3 results)
  • 2005 Annual Research Report   Final Research Report Summary
  • 2004 Annual Research Report
  • Research Products

    (18 results)

All 2006 2005 2004 Other

All Journal Article (18 results)

  • [Journal Article] Computational algorithms and neuronal network models underlying decision process.2006

    • Author(s)
      Y.Sakai, H.Okamoto, T.Fukai
    • Journal Title

      Neural Networks, Special Issue (in press)

    • NAID

      10018337352

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] 漸次的持続活性の神経生理学的および計算論的知見が開く連想記憶の新しい地平2005

    • Author(s)
      岡本洋, 坪下幸寛, 深井朋樹
    • Journal Title

      日本神経回路学会誌 12・4

      Pages: 235-248

    • NAID

      10017096335

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Annual Research Report 2005 Final Research Report Summary
  • [Journal Article] Associative memory network models inspired from physiological and computational studies of graded persistent neuronal activity.2005

    • Author(s)
      Hiroshi Okamoto, Yukihiro Tsuboshita, Tomoki Fukai
    • Journal Title

      Journal of Japan Neural Network Society (Japanese) vol12 (4)

      Pages: 235-248

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] A cellular mechanism for graded Persistent activity in a model neuron and its implications in working memory2005

    • Author(s)
      Terame, J.
    • Journal Title

      Journal of Computational Neuroscience 18

      Pages: 105-121

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Combined modeling and extracellular recording studies of up and down transitions of neurons in awake or behaving monkeys2004

    • Author(s)
      H.Okamoto, Y.Isomura, M.Takada, T.Fukai
    • Journal Title

      Advances in Behavioral Biology : Basal Ganglia VIII 56

      Pages: 555-561

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Annual Research Report 2005 Final Research Report Summary
  • [Journal Article] Combined modeling and extracellular recording studies of up and down transitions of neurons in awake or behaving monkeys.2004

    • Author(s)
      H.Okamoto, Y.Isomura, M.Takada, T.Fukai
    • Journal Title

      Advances in Behavioral Biology : Basal Ganglia VIII vol 56

      Pages: 555-561

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Temporal characteristics of the predictive synchronous fining modeled by spike-timing-dependent plasticity.2004

    • Author(s)
      Fukai, T.
    • Journal Title

      Learning & Memory 11

      Pages: 267-276

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons2004

    • Author(s)
      Fukai, T.
    • Journal Title

      Neural Networks 17

      Pages: 307-312

    • NAID

      10012833889

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Propagation of quasi-stable activation in a chain of recurrent neural networks.2004

    • Author(s)
      Fukai, T.
    • Journal Title

      Neurocomputing 58-60

      Pages: 235-238

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Gamma frequency synchronization in a local cortical network model2004

    • Author(s)
      Fukai, T.
    • Journal Title

      Neurocomputing 58-60

      Pages: 173-178

    • Related Report
      2004 Annual Research Report
  • [Journal Article] 現実的な皮質ニューロンモデルの回路において自己組織化される自発的発火の双安定状態遷移2004

    • Author(s)
      深井朋樹
    • Journal Title

      日本神経回路学会誌 11・2

      Pages: 56-63

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Robustness of the Noise-Induced Phase Synchronization in a General Class of Limit Cycle Oscillators2004

    • Author(s)
      Teramae, J.
    • Journal Title

      Physical Review Letters 93・20

      Pages: 204103-204103

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Computational algorithms and neuronal network models underlying decision process

    • Author(s)
      Y.Sakai, H.Okamoto, T.Fukai
    • Journal Title

      Neural Networks Special Issue 2006 (in press)

    • NAID

      10018337352

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Synchronization properties of slow cortical oscillations

    • Author(s)
      T.Takekawa, T.Aoyagi, T.Fukai
    • Journal Title

      Progress of Theoretical Physics (in press)

    • NAID

      110004729464

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Synchronization properties of slow cortical oscillations.

    • Author(s)
      T.Takekawa, T.Aoyagi, T.Fukai
    • Journal Title

      Progress of Theoretical Physics (in press)

    • NAID

      110004729464

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Computational algorithms and neuronal network models underlying decision process

    • Author(s)
      Y.Sakai, H.Okamoto, T.Fukai
    • Journal Title

      Neural Networks (印刷中)

    • NAID

      10018337352

    • Related Report
      2005 Annual Research Report
  • [Journal Article] Synchronization properties of slow cortical oscillations

    • Author(s)
      T.Takekawa, T.Aoyagi, T.Fukai
    • Journal Title

      Progress of Theoretical Physics (印刷中)

    • NAID

      110004729464

    • Related Report
      2005 Annual Research Report
  • [Journal Article] Combined modeling and extracellular recording studies of up and down transitions in awake or behaving monkeys

    • Author(s)
      Fukai, T.
    • Journal Title

      Basal Ganglia VIII (in press)

    • Related Report
      2004 Annual Research Report

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Published: 2004-04-01   Modified: 2016-04-21  

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