Human brain computations - Revision history

Lê Nguyên Hoang at 12:05, 21 January 2020

2020-01-21T12:05:20Z

Lê Nguyên Hoang: Add references, but without explanation

2020-01-21T10:37:49Z

Add references, but without explanation

Lê Nguyên Hoang: Created page with "To estimate the capabilities of algorithms, it was worth comparing computational properties of machines to the human brains'. == Throughput == Most of the human brain's inpu..."

2020-01-20T21:30:53Z

Created page with "To estimate the capabilities of algorithms, it was worth comparing computational properties of machines to the human brains'. == Throughput == Most of the human brain's inpu..."

New page

To estimate the capabilities of algorithms, it was worth comparing computational properties of machines to the human brains'.

== Throughput ==

Most of the human brain's input seems to come from the visual cortex, at a rate of ~10<sup>10</sup> bits per second, which are reduced to ~10<sup>4</sup> bits per second in layer IV of region V1 [https://www.sciencedirect.com/science/article/pii/S136466131000029X/pdfft?md5=9156147251d5d7da0d08a0456b24db59&pid=1-s2.0-S136466131000029X-main.pdf Raichle][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Two+views+of+brain+function+raichle&btnG= 10].

← Older revision		Revision as of 12:05, 21 January 2020
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	== Reward system ==		== Reward system ==

−	[https://~~pubmed~~.~~ncbi~~.~~nlm.nih.gov~~/~~31942076~~-a-~~distributional~~-~~code-for-value-in-dopamine-based-reinforcement-learning/~~ DKUSH+][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=A+Distributional+Code+for+Value+in+Dopamine-Based+Reinforcement+Learning&btnG= 20]	+	[https://www.nature.com/articles/s41586-019-1924-6.pdf DKUSH+][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=A+Distributional+Code+for+Value+in+Dopamine-Based+Reinforcement+Learning&btnG= 20]

← Older revision		Revision as of 10:37, 21 January 2020
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	Most of the human brain's input seems to come from the visual cortex, at a rate of ~10<sup>10</sup> bits per second, which are reduced to ~10<sup>4</sup> bits per second in layer IV of region V1 [https://www.sciencedirect.com/science/article/pii/S136466131000029X/pdfft?md5=9156147251d5d7da0d08a0456b24db59&pid=1-s2.0-S136466131000029X-main.pdf Raichle][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Two+views+of+brain+function+raichle&btnG= 10].		Most of the human brain's input seems to come from the visual cortex, at a rate of ~10<sup>10</sup> bits per second, which are reduced to ~10<sup>4</sup> bits per second in layer IV of region V1 [https://www.sciencedirect.com/science/article/pii/S136466131000029X/pdfft?md5=9156147251d5d7da0d08a0456b24db59&pid=1-s2.0-S136466131000029X-main.pdf Raichle][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Two+views+of+brain+function+raichle&btnG= 10].
		+
		+
		+	== Bayesian brain ==
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		+	Tenebaum
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		+	== Reward system ==
		+
		+	[https://pubmed.ncbi.nlm.nih.gov/31942076-a-distributional-code-for-value-in-dopamine-based-reinforcement-learning/ DKUSH+][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=A+Distributional+Code+for+Value+in+Dopamine-Based+Reinforcement+Learning&btnG= 20]