Muutke küpsiste eelistusi

E-raamat: Computational Neuroscience: Third Latin American Workshop, LAWCN 2021, Sao Luis, Brazil, December 8-10, 2021, Revised Selected Papers

  • Formaat - EPUB+DRM
  • Hind: 86,44 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the refereed proceedings of the Third Latin American Workshop, LAWCN 2021, held in Sao Luis do Maranhao, Brazil, during December 8–10, 2021.

The 13 full papers and 3 short papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML); AI and ML applied to robotics; AI and ML applied to biomedical sciences; Health issues and computational neuroscience; Software and hardware implementations in neuroscience; and Neuroengineering – science and technology.

Interdisciplinary applications of Artificial Intelligence (AI) and
Machine Learning (ML).- Semantic segmentation of the cultivated area of
plantations with U-net.- Use and Interpretation of Item Response Theory
applied to Machine Learning.- AI and ML applied to robotics.- Towards Loop
Closure Detection for SLAM Applications using Bag of Visual Features:
Experiments and Simulation.- Loss Function Regularisation on the Iterated
Racing Procedure for Automatic Tuning of RatSLAM Parameters.- Controlling the
UR3 robotic arm using a leap motion: a comparative study.- AI and ML applied
to biomedical sciences.- Web service based epileptic seizure detection by
applying machine learning techniques.- Health issues and computational
neuroscience.- Machine Learning Search of Novel Selective NaV1.2 and NaV1.6
Inhibitors as Potential Treatment against Dravet Syndrome.- Implementation of
intra and extracellular nonperiodic scale-free stimulation in silico for the
NEURON simulator.- In silico investigation of the effects of distinct
temporal patterns of electrical stimulation to the amygdala using a network
of Izhikevich neurons.- Software and hardware implementations in
neuroscience.- Brain connectivity measures in EEG-based biometry for epilepsy
patients.- A multiplatform output stage for the development of current-fixed
electrical stimulators applied to neural electrophysiology.- Neuroengineering
science and technology.- Physiological self-regulation using biofeedback
training: from concept to clinical applicability.- Movement-Related
Electroencephalography in Stroke Patients across a Brain-Computer
Interface-based Intervention.- Electrophysiological Correlates of Freeze of
Gait in Parkinson Disease: Increased STN-LFP Alpha Power and the Possible
Role of Attentional Circuits.- Effect of hand dominance when decoding motor
imagery grasping tasks within the same hand.- Kinematic responses as a
control strategy to visual occlusion.