We asked two of our participants, who are able to speak, to do a simple prompted speaking task. 5/pic.twitter.com/luR8Ebl67M
Za najbolje sučelje na Twitteru koristite Microsoft Edge ili instalirajte aplikaciju Twitter iz trgovine Microsoft Store.
Neuroscientist and neural engineer. 
+
+
| AP Giannini, Burroughs Wellcome CASI, Stanford Wu Tsai Postdoc Fellow
U tweetove putem weba ili aplikacija drugih proizvođača možete dodati podatke o lokaciji, kao što su grad ili točna lokacija. Povijest lokacija tweetova uvijek možete izbrisati. Saznajte više
Dodajte ovaj Tweet na svoje web-mjesto kopiranjem koda u nastavku. Saznajte više
Dodajte ovaj videozapis na svoje web-mjesto kopiranjem koda u nastavku. Saznajte više
Integracijom Twitterova sadržaja u svoje web-mjesto ili aplikaciju prihvaćate Twitterov Ugovor za programere i Pravila za programere.
| Država | Kod | Samo za korisnike |
|---|---|---|
| Sjedinjene Američke Države | 40404 | (bilo koje) |
| Kanada | 21212 | (bilo koje) |
| Ujedinjeno Kraljevstvo | 86444 | Vodafone, Orange, 3, O2 |
| Brazil | 40404 | Nextel, TIM |
| Haiti | 40404 | Digicel, Voila |
| Irska | 51210 | Vodafone, O2 |
| Indija | 53000 | Bharti Airtel, Videocon, Reliance |
| Indonezija | 89887 | AXIS, 3, Telkomsel, Indosat, XL Axiata |
| Italija | 4880804 | Wind |
| 3424486444 | Vodafone | |
| » Pogledajte SMS kratke šifre za druge zemlje | ||
Vremenska crta mjesto je na kojem ćete provesti najviše vremena i bez odgode dobivati novosti o svemu što vam je važno.
Prijeđite pokazivačem preko slike profila pa kliknite gumb Pratim da biste prestali pratiti neki račun.
Kada vidite Tweet koji volite, dodirnite srce – to osobi koja ga je napisala daje do znanja da vam se sviđa.
Najbolji je način da podijelite nečiji Tweet s osobama koje vas prate prosljeđivanje. Dodirnite ikonu da biste smjesta poslali.
Pomoću odgovora dodajte sve što mislite o nekom tweetu. Pronađite temu koja vam je važna i uključite se.
Bez odgode pogledajte o čemu ljudi razgovaraju.
Pratite više računa da biste dobivali novosti o temama do kojih vam je stalo.
Bez odgode pogledajte najnovije razgovore o bilo kojoj temi.
Bez odgode pratite kako se razvijaju događaji koje pratite.
We asked two of our participants, who are able to speak, to do a simple prompted speaking task. 5/pic.twitter.com/luR8Ebl67M
The very cool, and surprising, result was that lo and behold, there was strong firing rate modulation on many electrodes when producing different speech sounds. Here’s an example neuron's spike rasters and trial-averaged firing rates: 6/pic.twitter.com/ek0ScvJSJq
Most neurons also responded to simple (non-speaking) movements of the lips, jaw, and tongue, so we think this activity reflects motor control of the articulators, rather than higher-level processes like language. 7/pic.twitter.com/0SAb4Ahd7L
Could these signals be useful for building speech BCIs to help people who cannot speak? We think so! We could decode amongst a set of syllables pretty well, despite having only 200 electrodes in a sub-optimal part of the brain. 8/pic.twitter.com/dltUsK2Mvo
This makes me optimistic about intracortical approaches for speech BCIs, but there’s still a long road from this limited proof of feasibility to a real-time system synthesizing continuous speech. Recent work from the ECoG folks is paving the way in this domain. 9/
What about the neural population dynamics during speaking? There are a lot of interesting questions one could ask. As newcomers to speech from the arm control field, we chose to start by bringing what we know. 10/
We tested for whether two major motor cortical population dynamics features previously described by our group during arm movements were also present during speaking. 11/
Neural dynamics motif #1: Population activity is dominated by a large condition-invariant signal (CIS) when initiating speaking. Here we applied the methods of Kaufman et al 2016 (@MattAntimatt):
12/pic.twitter.com/t2w2db72iP
Neural dynamics motif #2: Strong rotatory dynamics are present during speech production. Here we applied the methods of Churchland, Cunningham et al 2012:pic.twitter.com/cVh5CKQgx1
Why this is the case is a fascinating open question. It may be that if these are effective computational strategies for generating the right muscle commands for arm and hand movements, then they’re also well-suited for generating speech-producing muscle commands. 14/
Another open question is whether finding this activity in "arm" motor cortex is due to remapping because of the participants' tetraplegia. We don't think this is the case, but a definite answer is elusive because we'd need intracortical recording in able-bodied people. 15/15
This is super interesting! Curious to know whether you can also decode imagined syllables? Similar to how you can decode imagined and executed movements in M1.
This is a very interesting direction that we haven't gone down. My guess is that if the person is able to imagine *speaking* the sound (in a motoric sense), rather than hearing it (which I think is the more intuitive way to imagine words), then we might see something.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.