Tag Archives: Brain

Neural Connections

Tyler Sloan is a freelance data artist/scientist. While he is not developing custom Jupyter-based data processing pipelines, he produces computer-generated artwork and data-driven motion design using Open Data and formal scientific models. His artwork combines elements of his training as a developmental neurobiologist (B.Sc, Ph.D.) with his passion for Open Data.

Neuroscience-Art

Julia Buntaine Hoel is a conceptual artist whose work is inspired by and based on Neuroscience, the scientific study of the brain. She is also director of SciArt Center, and editor in chief of SciArt Magazine. Julia attained her double BA in neuroscience and sculpture from Hampshire College, her post-baccalaureate certificate in Studio Art from Maryland Institute College of Art, and her MFA of Fine Arts from the School of Visual Arts. She also teaches, consults, curates, and frequently writes about art, and is currently the Innovator-in-Residence at Rutgers University.

Could consciousness all come down to the way things vibrate?

Tam Hunt is an Affiliate Guest in Psychology in the META Lab, Psychological and Brain Sciences Department, University of California, Santa Barbara. His work focuses on the philosophy of mind, reconciliation of scientific and spiritual views of the world, and the interaction of mind and matter. A practicing lawyer, he brings a unique perspective to psychology and philosophy.

The Brain as a Time Machine

“In many ways the brain is a time machine, we remember the past to predict the future and we engage in mental time travel (we can mentally project ourselves into the past and future). Additionally, we are pretty good at telling time, whether demonstrated by catching a ball, playing the piano, or anticipating when the red light will change to green. But how does Mother Nature build clocks using neurons?”

Dean Buonomano is a professor in the Departments of Neurobiology and Psychology, and a member of the Brain Research Institute, and the Integrative Center for Learning and Memory at UCLA. He is a leading researcher on how the brain tells time. His new book is is titled ‘Your Brain is a Time Machine: The Neuroscience and Physics of Time.’

Felt Time

“One could say that the study of time consciousness overlaps with the study of phenomenal consciousness. Conscious awareness is extended awareness of duration, temporal order, the present-moment, and the passage of time.”

Marc Wittmann is currently employed at the Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany. He has written two books on the topic of time perception. ‘Felt Time’ has been published in 2016 by MIT Press and ‘Altered States of Consciousness’ is going to appear in August 2018, also published by MIT Press.

Between the human body and the inner self

Valeriya N-Georg is an artist inspired from Neuroscience, Psychology and Consciousness studies, who works with a range of media: drawing, printmaking, mixed media and sculpture.

“My principal interest is Neuroscience, as a system of exploring the relationship between the human body and the embodied self. I use fragments of physical anatomy to visually represent the inexpressible experience of inhabiting a body; the boundaries between the inner and outer self; between the physical and metaphysical; tangible and intangible, the tactile and the optical.”

Contemplations and Neural Communications

“My art seeks to give form to those processes of thought which have yet to be fully articulated and to explore the enormous scope of the beautiful and delicately balanced neural choreographies designed to reflect what is occurring in our own minds as we think.”

Artist and writer, Richard Bright, has addressed the relationship between art, science and consciousness for over 30 years. In his recent series of drawings he explores the impermanent and shifting process of thinking.

Deep Learning

Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA),CIFAR Program co-director of the CIFAR program on Learning in Machines and Brains, Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. In this exclusive interview he discusses his ideas and work on AI and Deep Learning.