Bradley Voytek

Associate Professor

Oscillatory network communication, automated science, data-mining, aging, attention, working memory, cognitive brain-computer interfaces, brain/cognition/society interactions.


My research program is focused on combining large scale data-mining and machine-learning techniques with hypothesis-driven experimental research to understand the relationships between neural oscillations, cognition, and disease.

My ultimate research goal is to construct an understanding of cognition built on the first principles of neurophysiology. Rather than asking, "What brain regions correlate with working memory or attentional load?" I ask, "Given what we know about the computational properties of neurons and neural systems, how can neural systems interact to give rise to cognitive phenomena we equate with 'attention' and 'working memory', and what are the behavioral and cognitive limitations and consequences of these biological constraints?"

In collaboration with my wife, Jessica Bolger Voytek, we built and published brainSCANr, an algorithmic approach to aggregating information from more than 2 million peer-reviewed neuroscience articles. My philosophy with regards to the role of data-driven approaches to neuroscience is that large scale data analytics can complement and guide in-lab experimental research, but should not replace it.


In addition to my research, I'm avid about data and science communication and outreach on my blog, Oscillatory Thoughts, Twitter, and sometimes even real life.

I love my job and I can't sing its praises any more highly, and want to share with others my enthusiasm for the wonder of scientific discovery.

Now, for the vanity stuff. I speak at a lot of events ranging from elementary schools to venues such as TEDx@GoogleTalksFoo Camp, and SciFooMy writing and research has appeared in The New York TimesForbesNatureWiredThe Washington PostTim O'Reilly's RadarScientific AmericanThe New YorkerThe Guardian, and The Atlantic.

My non-academic… uh... interests, include explaining the zombie brain. This culminated in writing the book Do Zombies Dream of Undead Sheep? with my co-author, Professor Timothy Verstynen. Our book got nice reviews in Science and The Lancet, and our "research" has appeared on TEDNational GeographicWired, the Academy of NeurologyForbesSlateNPR, and New York Magazine.

You can view my full CV here.

  • Trujillo CA*, Gao R*, Negraes PD*, Chaim IA, Domissy A, Vandenberghe M, Devor A, Yeo GW, Voytek B¶, Muotri AR¶ (2019). Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development. Cell Stem Cell. (PDF)
  • Cole SR & Voytek B (2019). Cycle-by-cycle analysis of neural oscillations. J Neurophysiol. (PDF)
  • Cole SR, Donoghue T, Gao R, Voytek B (2019). NeuroDSP: A package for neural digital signal processing. J Open Source Software. (PDF)
  • Veerakumar A, Tiruvadi V, Howell B, Waters AC, Crowell AL, Voytek B, Posse PR, Denison L, Rajendra JK, Edwards JA, Bijanki KR, Choi KS, Mayberg HS (2018). Field potential 1/f activity in the subcallosal cingulate region as a candidate signal for monitoring deep brain stimulation for treatment resistant depression. J Neurophysiol. (PDF)
  • Gao R, Peterson EJ, Voytek B (2017). Inferring synaptic excitation/inhibition balance from field potentials. NeuroImage. (PDF)
  • Cole SR, van der Meij R, Peterson EJ, de Hemptinne C, Starr PA, Voytek B (2017). Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson's disease. J Neurosci. (PDF)
  • Cole SR & Voytek B (2017). Brain oscillations and the importance of waveform shape. Trends Cogn Sci. (PDF)
  • Tran T, Hoffner NC, LaHue SC, Tseng L, Voytek B (2016). Alpha phase dynamics predict age-related visual working memory decline. NeuroImage. (PDF)
  • Voytek B, Kayser AS, Badre D, Fegen D, Chang EF, Crone NE, Parvizi J, Knight RT, D’Esposito M (2015). Oscillatory dynamics coordinating human frontal networks in support of goal maintenanceNature Neurosci. (PDF)
  • Voytek B, Kramer MA, Case J, Lepage KQ, Tempesta ZR, Knight RT, Gazzaley A (2015). Age-related Changes in 1/f Neural Electrophysiological Noise. J Neurosci. (PDF)
  • Voytek B & Knight RT (2015). Dynamic network communication as a unifying neural basis for cognition, development, aging, and disease. Biol Psychiatry. (PDF)
  • Voytek JB, Voytek B (2012). Automated cognome construction and semi-automated hypothesis generation. J Neurosci Methods 208(1), 92-100. (PDF)
  • Voytek B & Knight RT (2010). Prefrontal cortex and basal ganglia contributions to visual working memory. Proc Natl Acad Sci USA 107(42), 18167-18172. (PDF)
  • Voytek B, Davis M, Yago E, Barceló F, Vogel EK, Knight RT (2010). Dynamic neuroplasticity after human prefrontal cortex damage. Neuron 68(3), 401-408. (PDF)