Description. Welcome to Prof. PhD. David Quesada invited talk cover and tutoring channel on DeepLearning in Neurosciences. The talk is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. On this talk the professor made an introduction to the basic concepts related to Machine Learning, Networks, and Artificial Intelligence in the study of Neuroscience. Besides that, these foundations will permit to define the methodologies behind Cognitive Neuroscience, Neuromorphic Computing, Quantum Machine Learning, and Quantum Artificial Neural Networks.
Resumen: La presente comunicación va dirigida a crear las bases teóricas en matemática y biofísica para comprender los modelos usados en el Aprendizaje de Máquina, Redes, e Inteligencia Artificial para el estudio de las Neurociencias. Además, estas bases permitirán definir las metodologías detrás de la Neurociencia del Conocimiento, Computación Neuromórfica, Aprendizaje de Máquina Cuántico y Redes Neuronales Artificiales Cuánticas
Description of channel. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics of Deep Learning and its applications in Neurosciences. Prof. Qesada will answer all questions within his area of expertise. This professor may interact with you in English or Spanish.
Talk & Channel Topics. The emphasis is on The present communication is aimed at creating the biophysical and mathematical foundations for the understanding of the current trends in the use of Machine Learning, Networks, and Artificial Intelligence in the study of Neuroscience. Besides that, these foundations will permit to define the methodologies behind Cognitive Neuroscience, Neuromorphic Computing, Quantum Machine Learning, and Quantum Artificial Neural Networks.
Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button, (2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.
General notes. (1) Students are allowed to made multiple questions following the same discussion threat or open new questions. (2) Some professors may release different materials, slides, etc., that the student can use to study and/or follow the discussion, click the button bellow to see the pdf files. (3) Language note: some professors allow students to select their favorite language of interaction according to professor communications skills, accordingly materials, questions, and answers may appear in these languages. (4) The channel will be open until conference finish the post-publication stage, contact chairpersons for doubts: mol2net.chair@gmail.com
