講演抄録/キーワード |
講演名 |
2008-06-26 16:35
[招待講演]Molecular Networks vs. Neuronal Networks: The Memory Match ○Upinder Bhalla(National Center for Biological Sciences) NLP2008-7 NC2008-17 |
抄録 |
(和) |
How are memories stored? In computers it is easy to point to disk/RAM as the site of memory storage, and to the CPU for information processing. In the brain, memories and processing are intermingled. One way to subdivide the two roles is to say that electrical activity in neurons leads to information processing, and the connections (synapses) between neurons store information. Within the synapses, there are complex molecular networks that can form bistable switches and other memory storage circuits. Thus, this viewpoint suggests that we have molecular networks for information storage, and neural networks for information processing.
It is common for neuroscientists to think mostly of neuronal networks, as these are more accessible to the electrophysiological and anatomical tools of the field. Similarly, it is common for systems biologists to think of the chemical networks and discount electrical effects. Unfortunately these two viewpoints often suffer from an impedance mismatch, which would be disastrous if it affected brain function.
In this talk I will discuss some glimpses of how the two kinds of networks interface with each other. I will briefly introduce their typical roles in information processing and memory storage, respectively. I will suggest that rather than being distinct like in a computer, the information processing and memory functions are tightly coupled. Neural networks carry out some levels of memory storage, whereas biochemical networks carry out some forms of computation. Finally, I will illustrate a case where a bistable switch forms out of the coordinated activity in the two kinds of networks, showing that the distinction between networks is misleading, and that they actually are perfectly matched. |
(英) |
How are memories stored? In computers it is easy to point to disk/RAM as the site of memory storage, and to the CPU for information processing. In the brain, memories and processing are intermingled. One way to subdivide the two roles is to say that electrical activity in neurons leads to information processing, and the connections (synapses) between neurons store information. Within the synapses, there are complex molecular networks that can form bistable switches and other memory storage circuits. Thus, this viewpoint suggests that we have molecular networks for information storage, and neural networks for information processing.
It is common for neuroscientists to think mostly of neuronal networks, as these are more accessible to the electrophysiological and anatomical tools of the field. Similarly, it is common for systems biologists to think of the chemical networks and discount electrical effects. Unfortunately these two viewpoints often suffer from an impedance mismatch, which would be disastrous if it affected brain function.
In this talk I will discuss some glimpses of how the two kinds of networks interface with each other. I will briefly introduce their typical roles in information processing and memory storage, respectively. I will suggest that rather than being distinct like in a computer, the information processing and memory functions are tightly coupled. Neural networks carry out some levels of memory storage, whereas biochemical networks carry out some forms of computation. Finally, I will illustrate a case where a bistable switch forms out of the coordinated activity in the two kinds of networks, showing that the distinction between networks is misleading, and that they actually are perfectly matched. |
キーワード |
(和) |
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(英) |
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文献情報 |
信学技報, vol. 108, no. 101, NC2008-17, pp. 33-33, 2008年6月. |
資料番号 |
NC2008-17 |
発行日 |
2008-06-19 (NLP, NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
NLP2008-7 NC2008-17 |
研究会情報 |
研究会 |
NC NLP |
開催期間 |
2008-06-26 - 2008-06-27 |
開催地(和) |
琉球大学 |
開催地(英) |
University of the Ryukyus |
テーマ(和) |
機械学習によるバイオデータマインニング・生命現象の非線形性,一般 |
テーマ(英) |
Machine Learning Approach to Biodata Mining and Nonlinearity in Biological Phenomena, and General |
講演論文情報の詳細 |
申込み研究会 |
NC |
会議コード |
2008-06-NC-NLP |
本文の言語 |
英語 |
タイトル(和) |
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サブタイトル(和) |
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タイトル(英) |
Molecular Networks vs. Neuronal Networks: The Memory Match |
サブタイトル(英) |
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第1著者 氏名(和/英/ヨミ) |
Upinder Bhalla / Upinder Bhalla / |
第1著者 所属(和/英) |
National Center for Biological Sciences, India (略称: National Center for Biological Sciences)
National Center for Biological Sciences, India (略称: National Center for Biological Sciences) |
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講演者 |
第1著者 |
発表日時 |
2008-06-26 16:35:00 |
発表時間 |
60分 |
申込先研究会 |
NC |
資料番号 |
NLP2008-7, NC2008-17 |
巻番号(vol) |
vol.108 |
号番号(no) |
no.102(NLP), no.101(NC) |
ページ範囲 |
p.33 |
ページ数 |
1 |
発行日 |
2008-06-19 (NLP, NC) |
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