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Record W2040563945 · doi:10.1007/s12079-015-0286-6

The evolution of human communication

2015· article· en· W2040563945 on OpenAlexaff
Herman Yeger

Bibliographic record

VenueJournal of Cell Communication and Signaling · 2015
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsComputer scienceModalitiesCognitive scienceHuman communicationData sciencePsychologyCommunicationSociology

Abstract

fetched live from OpenAlex

We have all likely displayed wonderment on how human communications have evolved from a rather primitive, and likely effective for the time period, cave drawings, to a myriad of languages, and then to our present day highly sophisticated internet modalities. One might even say that YouTube is a greatly enhanced and accelerated cave drawing with sound. Our command of electronic communication and interactive devices has thus far gone from finger control to voice command. In the article, “Knock Once For YES, Twice For No”, Professor Bernard Perbal has enticed our neural centers with the possibility of conscious brain-to-brain communication, in wireless mode. If able to be accomplished in the future he writes that the ‘wide use of such applications might seem a long way off, they raise quite a number of ethical, legal and societal issues’. Professor Perbal, a long time proponent of the individual’s rights to their own genetic information, the essentiality of freedom of speech, and the importance of communication, has laid out some very thoughtful arguments, and provided some fascinating experimental evidence for why brain-to-brain communication should be seriously entertained. After all, if brain is the last frontier in our research endeavors, then communications between brains, in all its variations, should be one area of research that is highly warranted. As indicated large scale international consortia are busy mapping out the brain circuitry in the hope, like genomics, that once we have all the coordinates and molecular details we will be able to understand our incredible ‘brainy’ supercomputer and treat illnesses with precision. However, in the same way genetics has now been confounded by epigenetics, non-coding DNA, and RNA bits and bytes, we might expect that the basic brain map may be confounded by yet, undefined circuits and unexplained phenomena, like telepathy. As another example of how original conceptions have been thrown out the window comes from the field of sensory perception. One could now say that our bodies are one incredible taste and odorant sensor (Foster et al. 2014). So can brain-to-brain communications stand on their own or, as many of you know from everyday experiences, the visual (even using past memories) is an essential element for total comfort with your communicator (Perrodin et al. 2015). And, while you are busy reading this online please note the following (Kuhn and Gallinat 2015). The journey into the future new world of brain-to-brain communication will be with some trepidation. In comparison to information transmission through the ether, we can all appreciate current practical applications such as controlling prosthetic limbs by integration of the nervous system, a truly fantastic advance. There is no doubt, as Professor Perbal states that mind over matter, machines, and other brains, would have enormous implications for us and the world. Communication with animals could bring a whole new meaning to ‘man’s best friend’. Once we really open up this Pandora’s Box then we have to be prepared to use our collective wisdom to avoid possible abuse and misuse.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.351
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2015
Admission routes1
Has abstractyes

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