LEADER 00793nam0-22002771i-450- 001 990003021170403321 035 $a000302117 035 $aFED01000302117 035 $a(Aleph)000302117FED01 035 $a000302117 100 $a20000920d1959----km-y0itay50------ba 101 0 $aENG 102 $aIT 200 1 $aBusiness behavior, value and growth$fWilliam J. Baumol 210 $aNew York$cMacmillan$d1959 215 $aXIV, 164 p.$cill.$d22 cm 610 0 $aImprese$aGestione 700 1$aBaumol,$bWilliam Jack$f<1922- >$0268191 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003021170403321 952 $aG/1.13 BAU$b015877$fSES 952 $aG/1.13 BAU/1$b019687$fSES 959 $aSES 996 $aBusiness behavior, value and growth$9467213 997 $aUNINA LEADER 02681nam 2200457z- 450 001 9910346745503321 005 20210211 035 $a(CKB)4920000000094259 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41576 035 $a(oapen)doab41576 035 $a(EXLCZ)994920000000094259 100 $a20202102d2018 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAugmentation of Brain Function: Facts, Fiction and Controversy. Volume I: Brain-Machine Interfaces 210 $cFrontiers Media SA$d2018 215 $a1 online resource (666 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-614-5 330 $aVolume I, entitled "Augmentation of Brain Functions: Brain-Machine Interfaces", is a collection of articles on neuroprosthetic technologies that utilize brain-machine interfaces (BMIs). BMIs strive to augment the brain by linking neural activity, recorded invasively or noninvasively, to external devices, such as arm prostheses, exoskeletons that enable bipedal walking, means of communication and technologies that augment attention. In addition to many practical applications, BMIs provide useful research tools for basic science. Several articles cover challenges and controversies in this rapidly developing field, such as ways to improve information transfer rate. BMIs can be applied to the awake state of the brain and to the sleep state, as well. BMIs can augment action planning and decision making. Importantly, BMI operations evoke brain plasticity, which can have long-lasting effects. Advanced neural decoding algorithms that utilize optimal feedback controllers are key to the BMI performance. BMI approach can be combined with the other augmentation methods; such systems are called hybrid BMIs. Overall, it appears that BMI will lead to many powerful and practical brain-augmenting technologies in the future. 517 $aAugmentation of Brain Function 606 $aNeurosciences$2bicssc 610 $aBrain machine interface (BMI) 610 $aimplants 610 $amicrocircuits 610 $aneural networks 610 $aneuroprosthesis 610 $anootropics 610 $atDCStranscranial direct current stimulation 610 $aTMS 615 7$aNeurosciences 700 $aManuel F. Casanova$4auth$01278729 702 $aIoan Opris$4auth 702 $aMikhail Lebedev$4auth 906 $aBOOK 912 $a9910346745503321 996 $aAugmentation of Brain Function: Facts, Fiction and Controversy. Volume I: Brain-Machine Interfaces$93018408 997 $aUNINA