Team

Staff Profiles

Dan Denman, Ph.D.

Scientist I

Dan Denman joined the Allen Institute in 2014 to participate in efforts using electrophysiology to characterize spiking activity within and across circuits in the mouse visual system. He received a Ph.D. in Neuroscience from the University of Pennsylvania, working with Diego Contreras. There, he used electrophysiology and optogenetics to study parallel processing, corticogeniculate effects, and correlated activity in mouse lateral geniculate nucleus and primary visual cortex. His neuroscience training began with an information theoretical analysis of direction-selective ganglion cells as part of his B.A. in Biology at Reed College.

Research

Research Interests

Research Interests I am interested in how the brain uses populations of neurons to encode and transform visual information. To this end, at the Allen Institute I am working toward advanced electrophysiological approaches to record the temporal and spatial scales of correlated spiking activity across the visual stream. In particular, I am interested in the timing and variability of spikes within defined populations, and higher-order temporal correlations within these circuits. I am also interested in the rules of neural integration by which neurons transfer synaptic inputs into spiking outputs. 

Expertise

  • In vivo electrophysiology
  • Multi-electrode extracellular recording
  • Optogenetics

Research Programs

  • Neural Coding

Selected Publications View on PUBMED

High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification

Journal of Neurophysiology
March 6, 2019

Jia X, Siegle JH, Bennett C, Gale SD, Denman DJ, Koch C, Olsen SR

Visual physiology of the Layer 4 cortical circuit in silico

PLoS Computational Biology
November 12, 2018

Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-LLavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C

From Maxwell's equations to the theory of current-source density analysis

European Journal of Neuroscience
February 8, 2017

Gratiy SL, Halnes G, Denman D, Hawrylycz MJ, Koch C, Einevoll GT, Anastassiou CA

Fully integrated silicon probes for high-density recording of neural activity

Nature
November 8, 2017

Jun JJ, Steinmetz NA, Siegle JH, Denman DJ, Bauza M, Barbarits B, Lee AK, Anastassiou CA, Andrei A, Aydın Ç, Barbic M, Blanche TJ, Bonin V, Couto J, Dutta B, Gratiy SL, Gutnisky DA, Häusser M, Karsh B, Ledochowitsch P, Lopez CM, Mitelut C, Musa S, Okun M, Pachitariu M, Putzeys J, Rich PD, Rossant C, Sun WL, Svoboda K, Carandini M, Harris KD, Koch C5 O'Keefe J, Harris TD