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Category: learning

How the Black Death Radically Changed the Course of History

How the Black Death Radically Changed the Course of History

link.medium.com/YRFzoB3Xr5 This article is relevant to our recent discussions and Zak Stein’s (see Edward’s recent post) suggestion that great destabilizing events open gaps in which new structures can supplant older, disintegrating systems–with the inherent risks and opportunities.

Winter 2020 discussion prompts

Winter 2020 discussion prompts

What is humanity’s situation with respect to surviving long-term with a good quality of life? (Frame the core opportunities and obstacles.) What attributes of our evolved, experientially programmed brains contribute to this situation? (What are the potential leverage points for positive change within our body-brain-mind system?) What courses of research and action (including currently available systems, tools, and practices and current and possible lines of R&D) have the potential to improve our (and the planetary life system’s) near- and long-term…

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The neuroscience of creativity

The neuroscience of creativity

Since this came up in our book discussion or Range yesterday,  something relevant from this article. It’s interesting how the salience network mediates between and integrates two normally one on, one off networks.  And how it is the connections between networks that seems to do the trick akin to the book’s description of how those with range make analogous connections between ideas and domains. “Three of these distinct brain networks — the default mode, the executive control network and the…

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Applying artificial intelligence for social good

Applying artificial intelligence for social good

This McKinsey article is an excellent overview of this more extensive article (3 MB PDF) enumerating the ways in which varieties of deep learning can improve existence. Worth a look. The articles cover the following: Mapping AI use cases to domains of social good AI capabilities that can be used for social good Overcoming bottlenecks, especially around data and talent Risks to be managed Scaling up the use of AI for social good

Informative neuroscience presentations at NYU Center for Mind, Brain & Consciousness

Informative neuroscience presentations at NYU Center for Mind, Brain & Consciousness

The NYU Center for Mind, Brain & Consciousness hosts presentations, including topical debates among leading neuroscience researchers. Many of the sessions are recorded for later viewing. The upcoming debate among Joseph LeDoux (Center for Neural Science, NYU), Yaïr Pinto (Psychology, University of Amsterdam), and Elizabeth Schechter (Philosophy, Washington University in St. Louis), will tackle the question, “Do Split-brain patients have two minds?” Previous topics addressed animal consciousness, hierarchical predictive coding and perception, AI ‘machinery,’ AI ethics, unconscious perception, research replication issues,…

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Can we understand other minds? Novels and stories say: no

Can we understand other minds? Novels and stories say: no

by Kanta Dihal This article was originally published at Aeon and has been republished under Creative Commons. Cassandra woke up to the rays of the sun streaming through the slats on her blinds, cascading over her naked chest. She stretched, her breasts lifting with her arms as she greeted the sun. She rolled out of bed and put on a shirt, her nipples prominently showing through the thin fabric. She breasted boobily to the stairs, and titted downwards. This particular…

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Free textbooks source

Free textbooks source

There are some open source and free textbooks online that are good background resources for our group. The British Columbia’s BCCampus OpenEd is a good entry point for discovering free digital textbooks written by higher education faculty. For example, the Social Psychology title touches on several topics we often hit on, such as in-/out-group dynamics. Another good source is OpenStax. If you find other good resources, especially at low or no cost, please share their links.

Algorithm brings whole-brain simulation within reach

Algorithm brings whole-brain simulation within reach

An improvement to the Neural Simulation Tool (NEST) algorithm, the primary tool of the Human Brain Project, expanded the scope of brain neural data management (for simulations) from the current 1% of discrete neurons (about the number in the cerebellum) to 10%. The NEST algorithm can scale to store 100% of BCI-derived or simulated neural data within near-term reach as supercomputing capacity increases. The algorithm achieves its massive efficiency boost by eliminating the need to explicitly store as much data…

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Next discussion meeting Apr 2: Brain-Computer Interface, now and future

Next discussion meeting Apr 2: Brain-Computer Interface, now and future

During our next discussion meeting, we’ll explore the status, future potential, and human implications of neuroprostheses–particularly brain-computer interfaces. If you are local to Albuquerque, check our Meetup announcement to join or RSVP. The announcement text follows. Focal questions What are neuroprostheses? How are they used now and what may the future hold for technology-enhanced sensation, motor control, communications, cognition, and other human processes? Resources (please review before the meeting) Primary resources • New Brain-Computer Interface Technology (video, 18 m) https://www.youtube.com/watch?v=CgFzmE2fGXA • Imagining…

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