Prof. Marom Bikson gives two invited talk at the International Neuromodulation Society meeting in Edinburgh May 27-30. Conference details link
May 27, 2017 “Toward Markers of Target Engagement in tDCS” in the pre-conference on Non-Invasive Brain Stimulation.
Download slides talk 1: Bikson_INS_2017finalA.compressed
May 29, 2017 “Mechanistic Questions around High-Rate Stimulation and Overview of Methods for Reliable Electrophysiological Recording During High-Rate (10k) Stimulation” in breakout session Mechanisms and Models of High-rate Electrical Stimulation (chaired by Dr. Bikson)
Download slides talk 2:29-1430-BIKSON-BREAKOUT_Fd.compressed
The Science of Consciousness June 5-10, 2017 La Jolla, California
‘The Science of Consciousness’ (‘TSC’) is an interdisciplinary conference on all aspects of the nature of conscious experience, awareness, feelings and existence. How does the brain produce consciousness? Is consciousness intrinsic to the universe, or an epiphenomenal illusion? How can consciousness causally affect brain processes? What are the best empirical theories? Do we have free will? How did life and consciousness originate and evolve? What are the origins of moral and aesthetic values? How can we improve mental, physical and cognitive function? Can consciousness persist after bodily death, e.g. through ‘uploading’ to machines, or via mental processes tied to the natural world?
For registration, hotel and other information see: http://www.consciousness.arizona.edu
Marom Bikson, CCNY/CUNY, ‘Non-Invasive Brain Stimulation Devices to Change Thought and Behavior’
June 6: PL4 2:00 to 4:10 pm Non-Invasive Brain Stimulation
Thursday, May 18, 2017, 12:20PM, NAC 6/113
Basilis Gidas (Brown University), Finding Genes and Towards a Mathematical Framework for Artificial Intelligence and Biological Systems
The first half of the lecture will be on a statistical model for finding genes in the human genome. The model contains two parts: (a) A finite network (graph) which represents the overall architecture of a gene. The vertices in the network represent DNA signals (small patterns) associated with a gene and which are recognized by proteins and enzymes involved in the transcription and translation of genes. The edges of the network correspond to interactions among these signals and represent statistical variability in the architecture across genes; (b) each signal and each part of a gene is a piece of DNA with a random length as well as a random variability of its nucleotide sequence. The second part of the model articulates these variabilities.
The above gene finding procedure is conceptually similar to what is believed to underlie speech recognition whereby recognition involves two types of information: The acoustic signal represented by a concatenation of phonemes, and global regularities articulated by grammars (or syntax). The underpinning process in visual recognition is undoubtedly similar. And so is – many practitioners believe – the functioning of biological processes whereby two principles are at work: physics (biochemistry) and evolution. Physics controls the biochemical interaction of macromolecules, but it is evolution that produced the perfect “code” or “syntactic language” for the collective behavior of genes (Gene Regulatory Networks), or the collective behavior of proteins in Signal Transduction Pathways in cell growth, cell division or immunology. While specific questions and application in speech, vision, and biology have seen impressive advances and have lead to a great deal of mathematical innovation (e.g. modern statistical learning), an underpinning mathematical framework is missing. Though we do not have the framework, we know quite a bit of some of the problems the framework needs to articulate and some of the properties it needs to have. Building on the gene finding process, the second part of the talk will aim at identifying some key sources that makes information processing in cognition and biology difficult, and hint towards a coherent hierarchical/grammatical framework.
The CCNY Neural Engineering group is excited for two important papers on the mechanisms of tDCS published in the same issue of Brain Stimulation journal.
Direct Current Stimulation Modulates LTP and LTD: Activity Dependence and Dendritic Effects.
Kronberg G, Bridi M, Abel T, Bikson M, Parra LC.
Brain Stimul. 2017 Jan – Feb;10(1):51-58. doi: 10.1016/j.brs.2016.10.001. Epub 2016 Oct 5. PMID: 28104085
Download PDF: Kronberg_DCS
Direct Current Stimulation Alters Neuronal Input/Output Function.
Lafon B, Rahman A, Bikson M, Parra LC.
Brain Stimul. 2017 Jan – Feb;10(1):36-45. doi: 10.1016/j.brs.2016.08.014. Epub 2016 Sep 1.PMID: 27717601
Download PDF: Lafon_DCS
The SF Giants Are Zapping Their Brains With Electricity. Will It Help? MAY 8, 2017
“People like to say that electricity is the currency of the brain and that in many ways the brain is a circuit,” says Marom Bikson, a professor of biomedical engineering at City College of New York. “So when we apply electricity to the brain, we interact with that circuit, and we can change how that circuit works.”
Dr. Marom Bikson lecture on Major mechanistic questions and technology opportunities in Spinal Cord and Deep Brain Stimulation
Department of Neurosurgery, Mt Sinai Health System, May 3, 2017. 8 AM. Annenberg Building, 1468 Madison Avenue, 5th floor seminar room.
Jackson MP, Truong D, Brownlow ML, Wagner JA, McKinley RA, Bikson M, Jankord R. Safety parameter considerations of anodal transcranial Direct Current Stimulation in rats. Brain, Behavior, and Immunity 2017 pii: S0889-1591(17)30110-1. doi: 10.1016/j.bbi.2017.04.008 Jankord_Safety_tDCS_2017
Nitsche M. Bikson M. Extending the parameter range for tDCS: Safety and tolerability of 4 mA stimulation. Brain Stimulation. Editorial, Volume 10, Issue 3, Pages 541–542, 2017 Nitche_Bikson_BrainStim_2017
And don’t forget our seminal 2016 safety review here
Renowned neural engineer Risto Ilmoniemi will be speaking on Friday 4/21 at 3 pm in CDI 3rd floor conference room (3.352)
Professor Risto Ilmoniemi is a physicist and neuroscientist at Aalto University, Finland; he is the Head of the Department of Neuroscience and Biomedical Engineering. He built and designed multichannel MEG instruments in the 1980’s and invented for MEG use the minimum-norm estimate (together with Matti Hämäläinen), the signal-space projection, formulas for the forward problem, the channel-capacity measure for comparing sensor arrays, the triangle phantom, and several TMS techniques. He is the founder and former CEO of Nexstim Ltd., a company where he introduced navigated transcranial magnetic stimulation (TMS) and the combined use of TMS and EEG. As a professor of Applied Physics since 2006, he has led the development of new technologies for MEG–MRI and for a new generation of TMS. He is currently the Chair of the Biodesign Finland Program, which started in 2016.
See the complete Details here: Download Full Bio and Research Focus